| A | B | C | D | E | F | G | H | I | J | K | L | M | N | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Timestamp | What is your name? | What is your email address? (We use this to correspond about reviews). | What is your current affiliation? (We use this to manage conflicts of interest) | What is your training? (We use this to gauge your disciplinary background and depth of expertise. List degrees, disciplines, and prior publication experience). | What is your reviewing experience in Computing Education Research (CER)? (It's okay if you're new to reviewing, but if you aren't, it's helpful to know, so we can balance the reviewers assigned to a paper) | Describe your expertise. Keywords on topics and research methods are most helpful. Focus on research areas and methods that you have used in research, or that you have read extensively about. Note: there are no rank or title restrictions here, or formal expertise requirements; graduate students are eligible and lived experience counts. All that matters is that you are familiar with research discourses about a topic. | What is your publication history? You can answer with a Google Scholar, Semantic Scholar, DBLP, or ORCID link, or a personal web page. Anything that helps us understand your publication history. | ||||||
100 | 1/11/2025 2:17:43 | Onur Ramazan | onur.ramazan@wsu.edu | Washington State University | 2020 – Present Doctor of Philosophy (Ph.D.) in Educational Psychology Washington State University, Pullman, Washington, United States Specialization: Measurement and Assessment in Education 2018 – 2022 Graduate Certificate in Applied Measurement and Quantitative Methods Washington State University, Pullman, Washington, United States 2017 – 2019 Master of Arts (M.A.) in Educational Psychology Washington State University, Pullman, Washington, United States Specialization: Measurement and Assessment in Education 2009 – 2013 Bachelor of Science (B.S.) in Turkish Language Education Balikesir University, Balıkesir, Turkey 7. Danielson, R. W., Jacobson, N. G., Patall, E. A., Sinatra, G. M., Adesope, O. O., Kennedy, A. A. U., Hamilton, B. J., Ramazan, O., Adaramola, B., Nketah, G. U., Jin, G., & Johnson, O. S. (2024). A meta-analysis of refutation text effectiveness in confronting scientific misconceptions. Educational Psychologist, 1-26. https://doi.org/10.1080/00461520.2024.2365628 6. Danielson, R. W., Heddy, B. C., Ramazan, O., Jin, G., Gill, K. S., & Berry, D. N. (2024). Conceptual contamination: Investigating the impact of misinformation on conceptual change and inoculation strategies. Journal of Research in Science Teaching, 1–26. https://doi.org/10.1002/tea.21963 5. Ramazan, O., Dai, S., Danielson, R. W., Ardasheva, Y., Hao, T., & Austin, B. W. (2023). Students’ 2018 PISA reading self-concept: Identifying predictors and examining model generalizability for English learners. Journal of School Psychology, 101, 1-21. https://doi.org/10.1016/j.jsp.2023.101254 4. Ramazan, O., Danielson, R. W., Rougee, A., Ardasheva, Y., & Austin, B. W. (2023). Effects of classroom and school climate on language minority students’ PISA mathematics self-concept and achievement scores. Large-scale Assessments in Education, 11(1), 1-30. https://doi.org/10.1186/s40536-023-00156-w 3. Dai, S., Hao, T., Ardasheva, Y., Ramazan, O., Danielson, R. W., & Austin, B. W. (2023). PISA reading achievement: Identifying predictors and examining model generalizability for multilingual students. Reading and Writing, 36(10), 2763–2795. https://doi.org/10.1007/s11145-022-10357-4 2. Jin, G., Ramazan, O., & Danielson, R. W. (2023). Effects of refutational texts and seductive pictures on conceptual change. Journal of Experimental Education, 92(4), 605-625. https://doi.org/10.1080/00220973.2023.2238644 1. Lee, D. K. L., & Ramazan, O. (2021). Fact-checking of health information: The effect of media literacy, metacognition and health information exposure. Journal of Health Communication, 26(7), 491-500. https://doi.org/10.1080/10810730.2021.1955312 | I've reviewed multiple non-CER research papers | I specialize in psychometrics, large–scale assessments, and machine learning as I am passionate about equity in educational and psychological measurement for diverse, historically marginalized, and underrepresented groups. See my publication record in my ResearchGate profile: https://www.researchgate.net/profile/Onur-Ramazan . | https://scholar.google.com/citations?user=vCCZeUcAAAAJ&hl=en&oi=ao | ||||||
101 | 2/13/2025 21:09:41 | Karumuri Sri Rama Murthy | sriramamurthy_k@vnrvjiet.in | Assistant Professor, Department of Computer Science Engineering, VNR Vignana Jytohi Institute of Engineering and Technology, Hyderabad - 500090, Telangana, India. | 6 years as Assistant Professor for Undergraduate students, 6 years as Assistant Mentor and 6 years as Associate Mentor for Post graduate students. Educational Qualifications: M.Sc.(Computer Science) from Andhra University, M.Tech.(Computer Science), Ph.D. in Computer Science Engineering from JNT University Hyderbad. Published nearly 10 Conference/Journal Papers. | I've reviewed multiple non-CER research papers | I have completed a semester course on “IUCEE INTERNATIONAL ENGINEERING EDUCATOR CERTIFICATION PROGRAM “ – Fall 2023". Studied many papers related to Educating students during this course and experimented many topics discussed in this course.. Participated in seminars. Mentored nearly 500 students with 100% placement at MSIT, School of Information Technology JNT University Hyderabad. Implemented many techniques while working at MSIT. | https://scholar.google.com/citations?user=6obtYP4AAAAJ&hl=en | ||||||
102 | 2/17/2025 13:45:19 | Rachel L.S. Frisbie | salmonra@msu.edu | Michigan State University | - B.S. in Physics - PhD in Astronomy in Astrophysics - Assistant Professor in Computational Mathematics, Science, and Engineering - Qualitative and Quantitative methods in Interdisciplinary computing education research - Curriculum development, teaching and doing research in an introductory interdisciplinary computing course for 9 semesters - Pedagogy consultant for interdisciplinary computing coursework - 1 poster, 1 Nifty Assignment, 1 workshop across SIGCSE TS '23 and '24 - Frisbie, R.L.S., Grete, P., and Glines, F.W. Sustainable software development with collaborative version control. S. Seagroves, A. Barnes, A.J. Metevier, J. Porter, and L. Hunter (Eds.), Leaders in effective and inclusive STEM: Twenty years of the Institute for Scientist & Engineer Educators., pages 249–260, 2022 - multiple Astrophysics publications that are not particularly relevant in this context | I've reviewed multiple non-CER research papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Python, Functions, epistemic games, qualitative interviewing, version control with Git, interdisciplinary computing education, inquiry approach to teaching and learning | https://scholar.google.com/citations?user=zaNmnIQAAAAJ&hl=en | ||||||
103 | 3/1/2025 7:42:17 | Ajay kumar Yadav | ajayyadav.mit@gmail.com | Senior Project Manager, NSDevil Co. Ltd, EdTech | 18 years of experience in Software Development Project Management. Education Qualification: B.E. Computer Science (2006), MBA (2020), M.Phil. in Education (2024) | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | My expertise includes : Computer Science in Education, Curriculum Development for K 10 schools, Teachers training Programmes for CS | https://scholar.google.com/citations?user=2B929rsAAAAJ&hl=en | ||||||
104 | 3/9/2025 15:55:55 | Shamila Janakiraman | shamilajanki@gmail.com | University of Hawaii | Ph.D in Education (Instructional Design and Learning Design and Technology) | I've reviewed multiple non-CER research papers | Qualitative research; emerging technologies | https://scholar.google.com/citations?user=wdHuXCAAAAAJ&hl=en&oi=ao | ||||||
105 | 3/12/2025 12:58:21 | Shan Huang | sh69@illinois.edu | University of Illinois Urbana-Champaign | Computer Science Ph.D. Concentration: Educational games, cybersecurity | I've reviewed multiple CER papers | Quantitative Analysis. Cybersecurity Education Major Educational Games, Publication in SIGCSE and ITiCSE | https://scholar.google.com/citations?user=7UPvWBUAAAAJ&hl=en | ||||||
106 | 4/1/2025 0:31:22 | Denis Zhidkikh | denis.d.zhidkikh@jyu.fi | University of Jyväskylä, Faculty of Information Technology | MSc in Educational technology. PhD student in the final phases of the dissertation. Published two articles related to STEM/CER. | I've reviewed multiple CER papers | My expertise is in self-regulated learning (SRL) and learning analytics (LA). Specifically, I have written and published works focusing on event-based measuring of SRL and the related analysis methods (process mining, cluster analysis). For LA, I have published work on student dropout prediction methods (SDP). I have experience with and interest in mixed methods in SRL measuring, i.e. using both event-based measures and aptitude measures (e.g., MSLQ). I additionally have experience with inductive analysis methods, such as thematic analysis. | https://scholar.google.com/citations?user=4dt3tJAAAAAJ&hl=en | ||||||
107 | 4/2/2025 3:44:22 | Ville Isomöttönen | ville.isomottonen@jyu.fi | University of Jyväskylä | Doctoral degree; docent in computing education research. I have also worked in general education. I have published around 70 papers including conferences and journals. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | I am most familiar with qualitative research, including thematic analysis, content analysis, and phenomenography-based analysis. I am equally familiar with grounded theory and action research. I also know approaches on systematic literature studies well. Theoretical and philosophical considerations are also of my interest. The main area of interest in computing education is project-based learning and its various sub-areas such as group work and software process. I have recently worked on identity, self-regulation, and motivation in context of CER. Some other research topics I have participated include programming education, interested development in outreach context, and educational technology. | https://scholar.google.com/citations?user=FdYLVNUAAAAJ&hl=fi | ||||||
108 | 4/3/2025 7:40:30 | Alissa McGill | amcgill8@kent.edu | Kent State University | I have an undergraduate Degree in Computer Engineering with Co-Op from the University of Akron. I worked as a software developer, a developer relations engineer(point of contact between my team and collaborating teams at other organizations), a project manager, and a product owner at different tech companies. Currently enrolled in a Cognitive Psychology PHD program at Kent State University to study inclusion of underrepresented groups in computing careers and majors, and to study programming cognition(in the context of how people learn to program and the differences between novices and experts). | I've reviewed multiple non-CER research papers | As a note - I have never officially reviewed a paper before - but the above question about CER reviewing experience does not allow a blank response. I have "reviewed" papers for my lab mates and my students in my research writing class, but have never done a review for a journal. I would love to learn and get experience if I am able to! I have lived experience having gone through computer engineering undergraduate education. I have also worked at multiple different tech companies with disciplines ranging from systems engineering, embedded systems development, web development, and app development(Android, Windows, iOS, MacOS, Linux). I have helped design software with a team of other software developers, and managed software projects. I have experienced what is is like to be a woman in a field dominated by men, which fueled my career change to graduate school to investigate how women can feel more included and to increase their participation in computing careers and majors. In graduate school, I have studied effects of gender, programming anxiety, belonging, and self-efficacy on persistence in computing majors in college.(Paper under review) I have worked on papers that compare black students at HBCUs vs black students at PWIs in order to inform researchers about how they can generalize findings between these two environments(paper under review). I have also studied working memory and math anxiety, but don't have any papers written about this yet. Data Analyses I am most familiar with are T-tests, regressions (including hierarchal linear regressions) and correlations. I have mostly done secondary data analyses on existing datasets for my papers submitted for review. | https://www.researchgate.net/profile/Alissa-Mcgill | ||||||
109 | 4/4/2025 10:38:42 | Cameron Roberts | cameronroberts2020@u.northwestern.edu | Northwestern University | I am a current PhD student in a combined Comp Sci + Learning Sciences program (with additional specialization in cognitive science). Prior to this, I earned a Bachelor's degree in Comp Sci and Music and a Master's degree in Music I have published in venues including Behaviour & Information Technology, AERA, ISLS, IDC (as a part of the Learning, Design and Technology symposium), and I have an upcoming paper that has been accepted in TOCE. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | My work primarily focuses on creativity and transdisciplinarity within the context of beginning programming/CS education. I draw on a range of qualitative methodologies/epistemologies, including ethnographic, grounded, interactional traditions. In terms of lived experience, I am a first generation scholar, which informs my view of equity. My current theoretical conceptualization of equity draws on cultural-historical activity theory and onto-epistemic heterogeneity. | https://orcid.org/0000-0003-1448-0829 | ||||||
110 | 4/19/2025 18:49:59 | Chungsoo Na | chungsoo.na@outlook.com | Utah State University | I am currently a Ph.D. candidate in Instructional Technology and Learning Sciences at Utah State University, with an anticipated graduation date of August 2025. I hold a Master’s degree in Educational Technology and a Bachelor’s degree in Computer Science Education, both of which were obtained in South Korea. My disciplinary training bridges instructional design, educational psychology, and quantitative research methods. I have extensive experience conducting psychometric analyses, with a strong focus on early childhood computational thinking (CT) assessment. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | I have been trained as a learning scientist and assessment researcher, and applied quantitative modeling and psychometrics to computer science education and computational thinking. My expertise lies at the intersection of computing education, early childhood learning, and quantitative research methods. I have conducted multiple empirical studies on how young children develop computational thinking (CT) skills, with a particular focus on designing and validating assessments that capture early CT competencies. My dissertation research applies item response theory (IRT) and cognitive diagnostic modeling (CDM) to investigate the psychometric properties of performance-based CT assessments for young learners. In terms of research methods, I have strong expertise in quantitative analysis, especially in psychometrics, structural equation modeling, and HLM. I have led statistical analysis phases of several projects that explored how young learners engage in CT practices in formal and informal learning environments. To date, I have authored or co-authored 14 peer-reviewed journal articles, 4 conference proceedings (One of them was nominated as the best student paper in CSCL 2022). My work has been published in educational technology and computer science education journals such as Educational Technology Research and Development, International Journal of Children-Computer Interaction and Instructional Science. | https://scholar.google.com/citations?user=Wqjmx6IAAAAJ&hl=ko | ||||||
111 | 4/23/2025 3:26:50 | Lee Clift | Lee.clift@strath.ac.uk | University of Strathclyde | I have a BSc in Computer Science, an MSc in Advanced Computer Science and a PhD in Automated Aerospace Manufacturing with Industrial Robotics. Since then, I have published numerous times at CER conferences, focusing on using Generative AI in assessments and creating authentic assessments. I currently work as a teaching associate, and I plan to expand my research portfolio to include curriculum design, decolonisation, and outreach. | I've reviewed multiple non-CER research papers | My expertise is primarily in the use of generative AI within assessments. I have published numerous times in the field and have been using it within my own practice for the last two years. I have also been heavily involved in K-12 outreach work for the past three years. I am also involved in a significant decolonisation effort within the UK and feel personally invested in general DEI efforts as an LGBT person with a disability. | https://scholar.google.com/citations?user=63fPK5IAAAAJ&hl=en | ||||||
112 | 5/7/2025 10:53:28 | Felix Muzny | f.muzny@northeastern.edu | Northeastern University | Degrees/disciplines: BS, Computer Science BA, English Literature MS, Computer Science (Natural Language Processing) Ph.D., Computer Science (Computing Education and BPC) prior publication experience: 2013 - 2017: NLP & digital humanities—EMNLP, EACL, Digital Scholarship in the Humanities 2021 - present: computing education—SIGCSE, Big Data in Society | I've reviewed multiple CER papers | Subjects: Teaching assistants—training programs, TAs, student-TA interactions; I have created one UTA program and designed and launched two TA training programs NLP—in addition to previous formal research experience, I teach undergraduate and graduate NLP courses Digital Humanities—I'm associated faculty at my university's DH lab and assist ~once a year in projects/workshops/etc. Course/curriculum design—lived experience teaching, designing, and creating introductory courses, NLP courses, and software engineering courses Ethics in computing—work published on ethics integration in introductory computing and NLP courses BPC—the underlying thread of almost all of the work I've done since 2020 Methods: Quantitative methods, longitudinal data analysis, significance testing, etc. Conferences reviewed for: - SIGCSE, ICER Lived transgender identity experience. | https://scholar.google.com/citations?user=ELLHR0EAAAAJ&hl=en | ||||||
113 | 5/11/2025 2:28:55 | Shahla Akram | shahlaakram4@gmail.com | National College of Business Administration & Economics Lahore, Pakistan | Shahla Akram is a Research Associate at the National College of Business Administration & Economics (NCBA&E), Lahore, Pakistan and a Senior Research Fellow at the Development Insights Lab, University of Peshawar. Her research interests encompass economic development, social exclusion, health economics, Technology, environment, education, income inequality, inequality of opportunities, and social cohesion. | I've reviewed multiple non-CER research papers | I have a background in economics and social sciences, with growing experience using computing in research, education, and industry. I use tools like statistical software and data visualization to explore how technology shapes economic behavior, access, and equity—especially in education and banking. Though not a computer science scholar, I bring interdisciplinary insight and lived experience to how computing can support non-technical communities and create more inclusive, socially aware systems. | https://scholar.google.com/citations?user=S6MkHe4AAAAJ&hl=en | ||||||
114 | 5/12/2025 10:10:21 | Xueru Yu | xyu425@gatech.edu | Georgia institute of Technology | first year Ph.D student in Human centered computing. Had 1 first-author publication and 2 second-author publication. Expertise in K-12 AI education and teacher PD | I've reviewed multiple non-CER research papers | qualitative methods; designing developmentally appropriate and equitable K-12 CS/AI learning experiences My expertise is in designing inclusive and engaging K-12 AI learning experiences, co-design with youth, teacher professional development. I use qualitative methods, like thematic analysis. | https://scholar.google.com/citations?user=Y7uOVREAAAAJ&hl=en | ||||||
115 | 6/16/2025 14:20:54 | Eric Poitras | eric.poitras@dal.ca | Dalhousie University | Learning Sciences | I've reviewed multiple non-CER research papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Educational Psychologist with 4 years experience in CSEd and 7 years experience in educational research more broadly. | https://scholar.google.com/citations?user=TNaVSQwAAAAJ&hl=en | ||||||
116 | 6/17/2025 12:52:41 | Mez Perez | mrperez14@utep.edu | University of Texas at El Paso | Postdoc - Computer Science Education (present) PhD - Information and Educational Studies (2025) B.S. - Computer Science (2019) Computing Education Research publication/reviewing/community experience TOCE article (2023) SIGCSE attendance/presentations (2021-2024) ICER DC (2020) RESPECT (2021-2025) Related publication/reviewing/community experience: International Society of Learning Sciences Conference (2020-2025) CHI reviewer (2022-2024) Journal of Science Teacher Education (2025) | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | Within computing education my general focus is on physical computing/makerspace contexts (how) for learning not only CS/STEM concepts, but their relationship to society and imagined futures (what). My focus is on working with K-12 students from marginalized backgrounds (Black and Latinx, Queer, Women, girls, and gender non-conforming people). To this end I typically employ qualitative and design based methods for understanding learning environments that support learners in both learning about computing while also envisioning as a tool for justice. (What) Equity & Justice: Critical studies of technology, imagining computing futures based in communities (Who) Centering experiences of marginalized students (K-12): Black and Latinx youth, Queer youth, Women, girls, and gender non-conforming people in STEM (How) Physical computing/making: teaching computing/computational thinking using micro:bits, e-textiles, circuits, unplugged activities; integrating computing topics into more general STEAM activities; constructionism (Methods) Qualitative methods: ethnography, interviews, focus groups, visual methods (drawing, photo elicitation, visual discourse analysis, photovoice, etc.) (Methods) Design based research: co-design, member checking, participatory methods, youth engaged research, community-based research | https://scholar.google.com/citations?user=cLT3l_IAAAAJ&hl=en | ||||||
117 | 6/27/2025 11:33:35 | Dr . Rehmat Shah | rehmat.shah@ue.edu.pk | Department of Education Division of Education, University of Education, Lahore, Jauharabad Campus Pakistan | Educational Qualifications: Ph.D. in Education (2018) – International Islamic University Islamabad Focus areas: Instructional Design, Philosophy, Comparative Education, Measurement, and Evaluation in Education M.Phil. in Education (2012) – Iqra University Focus areas: Inclusive Education, Curriculum Development, Educational Psychology, ICT in Education M.A. in Education (2003) – University of Karachi Focus areas: Educational Psychology, Comparative Education, Measurement, and Evaluation in Education Disciplinary Expertise: Core Fields: Higher Education Teacher Education Instructional Design and Evaluation Educational Psychology Knowledge Management in Education ICT Integration in Education Inclusive and Comparative Education Research and Publication Experience: Published extensively in national and international peer-reviewed journals on: Knowledge management in universities Technology integration and learning management systems Socioeconomic impacts on educational access Implementation of educational policies such as the Single National Curriculum STEM education and child rights in Madrassa education Reviewer for PLOS ONE and IJAEDU Advisory board member for Research Mosaic (RM) Professional Experience: Assistant Professor at the University of Education, Lahore (current) Former Assistant Professor at the Virtual University of Pakistan Over 20 years of combined teaching, research, and administrative experience, including service in the Pakistan Navy Conference Presentations: Delivered multiple presentations at international conferences, particularly on Knowledge Management and Distance Education | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | I possess specialized expertise in ICT integration and educational technology, particularly within the context of higher education in Pakistan. My academic and research work focuses on the intersection of technology, pedagogy, and institutional practices. I have authored and co-authored several peer-reviewed journal articles that examine topics such as: Digital Literacy Development among faculty and students The impact of Learning Management Systems (LMS) on student engagement and academic performance Faculty perceptions of Knowledge Management practices in technologically mediated environments The role of ICT in inclusive and equitable education, especially during the COVID-19 pandemic and in resource-constrained settings Notable publications include studies on: Open Educational Resources (OER) accessibility and the role of technological infrastructure (Remittances Review, 2024) Student experiences with Virtual University’s LMS (2021) Knowledge management in universities and its link to ICT and innovation (Journal of Managerial Sciences, 2021; IJITL, 2018) Research Methods Expertise My research approach includes both quantitative and mixed-methods paradigms, drawing on: Survey-based data collection (e.g., student and faculty perceptions of ICT tools) Structural Equation Modeling (SEM) and other statistical techniques for analyzing the mediating and moderating effects of ICT-related variables Thematic content analysis of qualitative data from interviews and open-ended survey items Applied and Contextual Expertise I have over 20 years of experience teaching and coordinating academic programs at both physical and virtual institutions, including: Designing and evaluating ICT-integrated curricula Supervising M.Phil. theses focused on educational technology, TPACK, and e-learning practices Leading initiatives related to virtual course development and digital pedagogies at the Virtual University of Pakistan | https://scholar.google.com/citations?user=SHUrujYAAAAJ&hl=en | ||||||
118 | 7/28/2025 14:16:18 | Ananth Jillepalli | ananth.jillepalli@wsu.edu | Washington State University | Cybersecurity PhD, transitioning into computing education research. SIGCSE-TS reviewer, T&F Computer Science Education reviewer | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Quantitative methods | https://scholar.google.com/citations?user=PuDGHYoAAAAJ&hl=en | ||||||
119 | 7/30/2025 15:00:12 | Dean Hunter | deanhunter@ieee.org | University of Wolverhampton / IEEE Member | current PhD Student, MSC Big Data, BSc Software Engineering. Co-Author on https://www.researchgate.net/profile/Dean-Hunter-2, Lead author (pending) - D. Hunter, B. Can, L. A. Ha, and M. N. Patwary, “A scalable framework for automated collection and annotation of C-language datasets,” submitted for publication, ACM Trans. Softw. Eng. Methodol., May 2025, Manuscript ID TOSEM-2025-0426. | I've reviewed multiple non-CER research papers | I am a PhD student in Computation Linguistics at the University of Wolverhampton, following an MSc in Big Data and a BSc in Software Engineering. My research and publications centre on empirical, data-driven investigations of programming and computing education. Methodologically, I work with large-scale dataset construction, statistical and machine-learning analysis, code-focused NLP, and mixed qualitative/quantitative validation techniques. I am co-author of a peer-reviewed paper and lead author of a manuscript currently under review at ACM TOSEM. I have served as a reviewer for RANLP 2023 and have been an IEEE member since 2020. I believe this background equips me with some skills that might be useful to assist/evaluate TOCE submissions that draw on empirical methods, learning analytics, automated feedback systems, or broader studies of computing-education practice and equity. | https://www.researchgate.net/profile/Dean-Hunter-2 | ||||||
120 | 8/6/2025 2:03:18 | Marie Devlin | marie.devlin@ncl.ac.uk | Newcastle University UK | PhD Computer Science Education, MSc Computer Science & Information Systems, MRes Computer Science, BA Hons English and History | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE), I've chaired a CER program committee or served as editor of a CER journal | My PhD was concerning Software Engineering and Programming Competency. I have supervised 6 PhDs to completion in Computer Science Education - topics include assessment, DEI issues in CS Ed, group projects, HCI and flipped classroom teaching. Currently supervising one on Generative AI and Programming Education and co-supervising two others, one on adaptive learning and another on Online Information Disorder. I have 20+ years experience in teaching all aspects of Computer Science including programming and group projects, dissertation supervision at Masters and Undergraduate level, been an Associate Dean of Education for the Science Faculty at my institution and Director of Teaching and Learning in my School (also Deputy Head of School). I have reviewed for BJET, IEEE Transactions on Learning Technologies, Acta Psychologica, Communications of the ACM, Computer Science Education, UKICER, ITiCSE, CEP, CSEET. Currently reviewing for SIGCSE 2025 TS, invited as a reviewer for HCAI-EP'26. I am a member of ACM Europe Technology Policy Committee and sit on two sub-committees - Data Science and Autonomous Systems. | https://scholar.google.com/citations?user=VfIjwnYAAAAJ&hl=en | ||||||
121 | 8/26/2025 8:52:38 | Md Dilshadur Rahman | ddilshadur@gmail.com | University of Utah | I am a PhD Candidate in Computer Science at the University of Utah, planning to graduate in December 2025. I consider myself an independent researcher in data visualization, visual literacy, and human–computer interaction. My research has been published in IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) and presented at the IEEE Visualization Conference (IEEE VIS), and I collaborate with researchers at Harvard Medical School, Oak Ridge National Laboratory, the University of Chicago, among others. A central part of my work focuses on computing education and visualization learning. I designed and deployed a visual peer review platform that helps students give more constructive feedback in visualization courses by incorporating behavioral nudges. I have also run classroom experiments examining how students annotate and interpret charts, and co-organized the EduVis workshop at IEEE VIS 2024, which brought together educators and researchers to advance visualization pedagogy. Alongside these education-focused contributions, I have developed a grammar for annotations in visualizations, conducted large-scale analyses of annotated charts, and carried out interview studies with practitioners and educators. I also remain active in the research community: I co-organized the VisComm workshop at IEEE VIS 2025, served on the program committee of IEEE VIS, judged the PacificVis Visual Storytelling Contest 2025, contributed as a judge for Outlier Conference 2025 talks, and reviewed for venues including IEEE TVCG, IEEE VIS, ACM CHI, ACM CSCW, ACM DIS, IEEE EduCon, and related conferences. | I've reviewed multiple non-CER research papers | My expertise is in data visualization, visual literacy, and human–computer interaction, with a focus on computing education. I have studied how students learn and practice visualization by designing and deploying a visual peer review platform that helps improve the quality of student feedback, running classroom studies on how students annotate and interpret charts, and co-organizing the EduVis workshop at IEEE VIS 2024 to support visualization teaching and learning. I have also worked on annotations in visualizations using several approaches: large-scale analyses of published charts, interviews with practitioners and educators, and the development of formal grammars and authoring systems. My research methods include qualitative work (interviews, thematic analysis, coding), quantitative studies (controlled experiments, statistical analysis, large-scale data collection), and system design and deployment (grammars, interactive tools, classroom platforms). I am familiar with research in visualization, HCI, and computing education, and have served as a reviewer for venues such as IEEE TVCG, IEEE VIS, ACM CHI, and others. Keywords: data visualization, visual literacy, human–computer interaction, computing education, peer review, annotation, classroom studies, qualitative research, controlled experiments, visualization grammars, system design. | https://scholar.google.com/citations?user=B2SW3msAAAAJ&hl=en | ||||||
122 | 8/26/2025 22:09:16 | Jonathan Liu | jonliu@uchicago.edu | University of Chicago | I am a final-year PhD Student in Computer Science, studying Computer Science Education. I am an author on around 10 papers across SIGCSE, ICER, TOCE, and ITiCSE, with first-author papers at SIGCSE and TOCE. | I've reviewed multiple CER papers | My research is broadly on curriculum design, focused on how to structure lessons or classrooms to help students learn, especially to be equitable and to capture more students. At a more narrow scale, a lot of my work is focused on how students develop and use metacognitive problem-solving strategies in algorithms courses, and I have published a literature review on teaching algorithms in CSEd, so I am very familiar with that topic. | https://orcid.org/0000-0002-8602-2002 | ||||||
123 | 9/25/2025 8:44:43 | Jennie Chiu | jlchiu@virginia.edu | University of Virginia | BS. Engineering, MA STEM Education, PhD STEM Education | I've reviewed multiple CER papers | K-12 CS Education, CS teacher education, Integrated CS approaches, educational robotics | https://scholar.google.com/citations?user=c6UsRewAAAAJ&hl=en | ||||||
124 | 9/25/2025 8:45:22 | Cyril Brom | brom@ksvi.mff.cuni.cz | Charles University, Prauge, CZ | Conceptual change. Multimedia learning (in the terms of educational psychology). Primary and lower-secondary CER. | I've reviewed multiple non-CER research papers | primary, lower secondary, experimental research, preconceptions, conceptual change, multimedia learning | https://scholar.google.com/citations?user=TjWjSL4AAAAJ&hl=cs&oi=ao | ||||||
125 | 9/25/2025 8:45:28 | Aakash Gautam | aakash@pitt.edu | University of Pittsburgh | PhD in Computer Science. I primarily work on HCI and long ago worked on computational thinking in classrooms. | I've reviewed multiple non-CER research papers | HCI, qualitative methods, equity, socially-responsible computing | https://scholar.google.com/citations?user=b3DcFdsAAAAJ&hl=en | ||||||
126 | 9/25/2025 8:47:01 | Fabiano Dalpiaz | f.dalpiaz@uu.nl | Utrecht University | Computer Science, Software Engineering | I've reviewed multiple non-CER research papers | Requirements engineering, agile development, experiment, case study, artificial intelligence | https://scholar.google.com/citations?user=KBPFzMAAAAAJ | ||||||
127 | 9/25/2025 8:47:50 | Zoe Wood | zwood@calpoly.edu | Cal Poly, San Luis Obispo | PhD Computer Science, Caltech 2003 | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | socially responsible computing, computational art, computer education outreach (5-12th grade), broadening participation in computing | https://orcid.org/0000-0002-4731-239X | ||||||
128 | 9/25/2025 8:49:16 | david weintrop | weintrop@umd.edu | University of Maryland | PhD in learning sciences, lots of CS Ed research | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | design of learning environments; K-12 CS education; data science education | https://scholar.google.com/citations?user=l7OM4vQAAAAJ&hl=en | ||||||
129 | 9/25/2025 8:49:28 | Marcus Messer | m.messer@imperial.ac.uk | Imperial College London | PhD in Computer Science with Michael Kolling and Neil C C Brown Postdoctoral Research at Imperial on Automated formative feedback (STEM Education) MSci Computer Science Previous industry expierence as a full-stack software engineer | I've reviewed multiple CER papers | Automated assessment Automated feedback Programming education Software engineering education Asssessment Systematic Literature Review Inter-rater reliability Surveys | https://scholar.google.com/citations?user=NXWjR6EAAAAJ&hl=en | ||||||
130 | 9/25/2025 8:51:33 | Yiting Wang | wangyiting.official@gmail.com | Beijing University of Technology | I'm a PhD candidate. I have published two paper as I'm the first author. One is published on TOCE, the other is published on software and systems modeling (ccf-b journal) | I've reviewed multiple non-CER research papers | software engineering, requirements engineering, modeling education, serious game, empirical study | https://scholar.google.com/citations?hl=zh-CN&user=5862Hc8AAAAJ | ||||||
131 | 9/25/2025 8:55:05 | Oli Howson | oli.howson@open.ac.uk | The Open University | Qualified teacher, bsc computing, pgce and pgdip in education, ma in educational leadership. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Varied. Very very varied. | https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Oli+Howson&btnG= | ||||||
132 | 9/25/2025 8:56:22 | Jake Baskin | jake.baskin@csteachers.org | CSTA | B.A. Computer Science, | I've reviewed multiple CER papers | K-12 computer science education, teacher professional learning, standards. Note I do not have experience reviewing papers (I do have experience reviewing conference proposals). The question is required, so I answered the closest to what I thought was accurate. | https://orcid.org/0000-0001-8227-1346 | ||||||
133 | 9/25/2025 8:57:10 | Brendan Tangney | tangney@tcd.ie | Trinity College Dublin, The University of Dublin | Ph.D. Technology and Learning | I've reviewed multiple non-CER research papers | Have published on Key/Transversal Skills and Outreach including CS Outreach. | https://orcid.org/0000-0001-5586-9289 | ||||||
134 | 9/25/2025 8:59:55 | James Prather | james.prather@acu.edu | Abilene Christian University | HCI, Computer Science, Neuroscience, Theology/Humanities | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE), I've chaired a CER program committee or served as editor of a CER journal | Generative AI, error messages, metacognition, self-regulation, qualitative | https://scholar.google.com/citations?user=qSJQ0wYAAAAJ&hl=en | ||||||
135 | 9/25/2025 9:01:51 | Linda Sax | Lsax@ucla.edu | UCLA | PhD, Higher Education and Organizational Change, UCLA (1994). Over 125 published works. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | College students in STEM/computing, gender differences, quantitative approaches. | https://scholar.google.com/citations?hl=en&user=byCkyqYAAAAJ&view_op=list_works&gmla=AH8HC4yD-8xtaONp5CpZRTEFtwmoSWM0-sTe9DSdIwXMHqCPKiMJMvwQUYuroVjOgu_Af5P2fa6ai4QV2zxMFAdq | ||||||
136 | 9/25/2025 9:05:06 | Noelle Brown | noelle.brown@utah.edu | University of Utah | PhD in Computing, research in teaching ethics in computing | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | I have published in the area of computing ethics education, specifically from an instructional design perspective. Methods include qualitative analysis and research through design. ethics, computing ethics education, qualitative research methods, systematic literature reviews | https://scholar.google.com/citations?hl=en&user=vz5iXScAAAAJ | ||||||
137 | 9/25/2025 9:07:18 | Bernhard Standl | bernhard.standl@ph-karlsruhe.de | Karlsruhe University of Education | I am a faculty member at the Karlsruhe University of Education (PH Karlsruhe), where I specialize in future computer science teacher training. My work encompasses fully integrated teacher studies at the bachelor, master, and doctoral levels with a focus on computational/algorithmic thinking, educational design-patterns, student-centered education, and the development of learning laboratories for school and future teacher students. I hold a Doctorate in Computer Science Education and am a full professor in Computer Science Education (Informatikdidaktik) in Karlsruhe. | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Computational/Algorithmic Thinking, Educational Design Patterns, Digital Assessment, CS Teacher Education | https://scholar.google.com/citations?user=XO6tJrMAAAAJ&hl=de | ||||||
138 | 9/25/2025 9:08:53 | Bo Pei | bpei@usf.edu | University of South Florida | Ph.D. in Educational Technology | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | AI in Education, Learning Analytics, Data Visualization | https://orcid.org/0000-0002-6328-6929 | ||||||
139 | 9/25/2025 9:09:49 | Ahmad D. Suleiman | as4300@rit.edu | Rochester Institute of Technology | Bsc, Ms, PhD candidate. Publications in computing education research. Focus on project based learning | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Project based learning, mixed method, qualitative research, quantitative research, large language models, literature review | https://scholar.google.com/citations?user=X2DXbvgAAAAJ&hl=en | ||||||
140 | 9/25/2025 9:14:35 | Daqing Hou | Daqing.Hou@rit.edu | RIT | PhD in Computer Science | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | project-based learning | https://scholar.google.com/citations?user=7EeqlwUAAAAJ&hl=en | ||||||
141 | 9/25/2025 9:18:59 | Jayne Everson | everjay@uw.edu | Graduate Student | MAT secondary math education; EdM Mind, Brain, and Education; MS computer Science in process PhD computer science; Qualitative | I've reviewed multiple CER papers | My expertise falls under the categories of education; educational neuroscience; computer science education, and qualitative research. I really enjoy physical computing work, and have 10+ years of 6-12 classroom experience. Physical Computing, Qualitative methods, Culturally Responsive & Sustaining Pedagogy, Pedagogy, Assessment | https://scholar.google.com/citations?hl=en&user=cngiJoMAAAAJ | ||||||
142 | 9/25/2025 9:26:18 | Kristina Kramarczuk | kkramarc@umd.edu | University of Maryland, College Park | Ph.D. in Science/Computing Education, previous K-12 chemistry teacher in Miami-Dade Public Schools, current Clinical Assistant Professor for an undergraduate research program. | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | I focused primarily on mixed methods research and have experience with both K-12 and undergraduate computing education research. | https://scholar.google.com/citations?hl=en&user=AAyhjZEAAAAJ | ||||||
143 | 9/25/2025 9:29:02 | James Weichert | jpw@cs.washington.edu | University of Washington | Assistant Teaching Professor at UW CSE; M.S. in Computer Science; B.A. in Computer Science and Data Science | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | CS ethics/social impacts of computing, AI ethics, AI policy, AI education | https://scholar.google.com/citations?user=vqo9QU0AAAAJ&hl=en&oi=ao | ||||||
144 | 9/25/2025 9:30:15 | Anshul Shah | ayshah@ucsd.edu | University of California, San Diego | PhD in Computer Science Education, with subareas related to Software Engineering Education and some Human-AI interaction. My Bachelors degrees are in Computer Science and Statistics (double major). | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Topics: program comprehension, LLM-assisted programming, live coding, software engineering education, metacognition/self-regulation Methods: Qualitative (think-alouds, surveys, interviews) and quantitative (i.e., inferential statistics) | https://scholar.google.com/citations?hl=en&user=UEsTEY_T2vEC | ||||||
145 | 9/25/2025 9:33:07 | Ramon Mayor Martins | rmayormartins@gmail.com | Federal Institute of Santa Catarina | PhD in Computer Science (focus on Telecommunications and Artificial Intelligence). Background in computer engineering, telecommunications systems, and AI applied to imaging. Publications experience in machine learning, deep learning, and applications of computer vision to medical imaging. | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | I have a PhD in Computer Science, specializing in Computing Education and AI Literacy. My researches focus on the popularization of AI, promoting inclusion, equality, social justice, and equity in providing opportunities for learning Computing and AI. Currently, I am a professor at the Federal Institute of Santa Catarina in the areas of Telecommunications and Computing. My expertise in computing education particularly focuses on teaching Machine Learning (ML) and Artificial Intelligence (AI) to middle and high school students. My research encompasses various aspects of this field, including: Curriculum design and implementation for ML/AI in K-12 education Assessment of ML learning outcomes in secondary education Impact of socioeconomic factors on ML/AI education Development of educational technologies for teaching ML concepts Ethical considerations in AI education for young learners I have publications in respected journals such as ACM Transactions on Computing Education, International Journal of Artificial Intelligence in Education, and Informatics in Education. I have conducted systematic literature reviews on teaching ML in high schools and contributed to developing scales for assessing ML learning in secondary education. Additionally, I have experience in: Designing and evaluating active learning methodologies for ML education Analyzing student perceptions and experiences in ML/AI courses Developing and assessing educational software for ML concepts (e.g., VULCAN for Jupyter Notebook) Addressing challenges in teaching ML to students from low socioeconomic backgrounds My research methods include quantitative analyses (e.g., using Item Response Theory), qualitative assessments, and mixed-methods approaches. I have also contributed to the development of educational technologies and conducted empirical studies on the effectiveness of ML/AI teaching interventions, with a particular focus on promoting equity and inclusion in AI education. It will be a pleasure to volunteer for a journal as respected as ACM TOCE. Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Imaging, Telecommunications, Signal Processing, Satellite Communications. Computing Education: student persistence and retention, educational survey design and validation, gamification, evaluation of technical and cognitive skills in computing education. Research methods: quantitative methods, statistical analysis (e.g., Cronbach’s alpha, factor analysis), experimental design, algorithm benchmarking, deep learning architectures. | https://scholar.google.com.br/citations?user=8SWqOv8AAAAJ&hl=pt-BR https://orcid.org/0000-0002-1952-0909 | ||||||
146 | 9/25/2025 10:01:26 | Aman Yadav | ayadav@msu.edu | Michigan State University | PhD in Ed tech and Ed psych | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Computational thinking, K-12, Teacher Education, Teacher Learning. | https://scholar.google.com/citations?user=E_kmtUQAAAAJ&hl=en | ||||||
147 | 9/25/2025 10:05:00 | Yael Gertner | ygertner@illinois.edu | UIUC | PhD in theoretical computer science and a postdoc in cognitive science. I am now working in CS Education working on broadening participation, K12 outreach, and teaching theory. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | K12 outreach, Algorithms and Discrete Math. My work includes designing curriculum for K12 and quantitative and qualitative methods for studying motivation and study skills of undergraduates in theory courses, designing tools and experiments to measure outcomes for discrete math. | https://scholar.google.com/citations?hl=en&user=snYuPBwAAAAJ&view_op=list_works&sortby=pubdate | ||||||
148 | 9/25/2025 10:09:15 | Mara Kirdani-Ryan | marakr@uw.edu | University of Washington, The Information School | Lots and lots of technical computing work (computer architecture/systems software/embedded systems/etc), PhD in Computer Science & Engineering (diss. title: Identity Fragmentation in Post-Secondary Computing Education) | I've reviewed multiple CER papers | Qualitative methods, sociological/social work framings in education, participatory/students-centered/justice-centered computing, ethics education; I'm hesitant to put "critical scholarship" because that often comes with a bit of gatekeeping, but that's most of my work. Neurodivergence in computing, computing career trajectories, post-secondary education, parts work, teaching with _love_, vulnerable classrooms, probably other things too. Queer/trans/AuDHD. Presently, also, relationality/right relationship & de-colonial approaches to education re above: I've reviewed in SIGCSE, but haven't formally acted as a journal reviewer (but the question was required) | https://scholar.google.com/scholar?hl=en&as_sdt=0%2C48&q=mara+kirdani-ryan&btnG=&oq=mara | ||||||
149 | 9/25/2025 10:17:16 | Marie-Monique Schaper | marie-monique.schaper@udl.cat | University of Lleida, Spain | Interaction Design, Computing Education | I've reviewed multiple non-CER research papers | My current work explores novel educational strategies and digital tools for learning about emerging technologies. I am particularly interested in critical approaches that address intersectional perspectives on embodiment, gender and ethnicity. Research interests: - Human-Computer-Interaction - Design Research - Participatory Design - Technology-mediated Learning - Computing Education - Embodied Design Methods | https://scholar.google.com/citations?user=6FbnC9kAAAAJ&hl=es | ||||||
150 | 9/25/2025 10:25:02 | Santiago Ojeda-Ramirez | sojedara@uci.edu | Unviersity of California, Irvine | PhD. in Education, M.A. In Education, M.A. Digital Humanities. B.S. Biomedical Engineering. | I've reviewed multiple CER papers | K-12 CS Education, Computational Thinking, CS + Arts and Humanities, Qualitative Methods | https://scholar.google.com/citations?user=enqXBDYAAAAJ&hl=en&oi=ao | ||||||
151 | 9/25/2025 10:29:24 | Thomas Rexin | tjrexin@ncsu.edu | North Carolina State University | current PhD student at North Carolina State University, BS and MS in Computer Science from UC San Diego, published three papers as second author with a focus on the experience of older undergraduate students | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | think aloud interviews, qualitative coding, thematic analysis, self-regulated learning, student-AI interaction, LLMs, code quality, large code bases | https://scholar.google.com/citations?user=lEkNDyUAAAAJ&hl=en | ||||||
152 | 9/25/2025 10:42:05 | Andrea Watkins | andreaw5@illinois.edu | University of Illinois Urbana-Champaign | BS from University of Wisconsin-Madison in Film, Television & Media, MS from DePaul University in Software Engineering, CS PhD Candidate at University of Illinois Urbana-Champaign, SIGCSE, ITICSE, and ICER publications. | I've reviewed multiple CER papers | Live coding, worked examples, sense of belonging for people from historically underrepresented groups in computing, BPC, cognitive load, social media influencers, attention economy, algorithmic recommendation systems, algorithmic folk theories, interview studies, survey analysis, linear regressions, linear regressions, ANOVA, LASSO regression, media analysis. | https://scholar.google.com/citations?user=0z1rHVEAAAAJ&hl=en | ||||||
153 | 9/25/2025 10:48:07 | Morgan M. Fong | mmfong@utexas.edu | University of Texas at Austin | BA in Computer Science, PhD in Computer Science (research exclusively on computing education) Previously published in SIGCSE TS, IEEE FIE, ijCSCL, ASEE | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | sense of belonging, affective outcomes, undergraduate computer science education, qualitative research methods, interviews, observation protocols, conversation analysis | https://scholar.google.com/citations?user=e4cX_D0AAAAJ&hl=en | ||||||
154 | 9/25/2025 10:49:02 | Amaury Antônio de Castro Junior | amaury.junior@ufms.br | Federal University of Mato Grosso do Sul | I hold a Ph.D. in Computer Science and have extensive academic and professional experience in Computing Education and Educational Technologies. My training also includes a Master’s degree and a Bachelor’s degree in Computer Science. Over the past years, I have coordinated and participated in research, teaching, and extension projects focused on robotics education, artificial intelligence literacy, and teacher professional development. I have published peer-reviewed articles in national and international conferences and journals in the areas of Computing Education, Robotics, and Technology-Enhanced Learning. In addition, I have contributed to the organization and evaluation of academic events in the field, and I am currently engaged in initiatives that bridge higher education, K-12 schools, and broader communities through computing outreach and innovation. | I've reviewed multiple CER papers, I've chaired a CER program committee or served as editor of a CER journal | My expertise lies in Computing Education, with a particular focus on K-12 contexts, teacher professional development, and educational robotics. I have worked extensively with curriculum design and implementation in computing, creative learning approaches, and the integration of computational thinking into basic education. In terms of methods, I am experienced with qualitative research (case studies, interviews, classroom observations, thematic analysis) and mixed-methods approaches that combine surveys, experimental designs, and learning analytics. I have also engaged in design-based research (DBR) and evaluation of educational interventions involving robotics and AI literacy. Keywords: Computing Education, Educational Robotics, Artificial Intelligence Literacy, Computational Thinking, Teacher Professional Development, Curriculum Design, Creative Learning, Qualitative Research, Mixed Methods, Design-Based Research. | https://orcid.org/0000-0002-0915-6613 | ||||||
155 | 9/25/2025 10:50:07 | Alice Gao | ax.gao@utoronto.ca | Assistant Professor, Teaching Stream, University of Toronto. | PhD in Computer Science. PhD research was in AI and was published in AAAI, IJCAI, AAMAS, etc. Current research is in CS Education and has been published in SIGCSE and ITICSE. | I've reviewed multiple CER papers | machine learning, artificial intelligence, AI literacy, thematic analysis of qualitative data, active learning, frequent testing. | https://scholar.google.ca/citations?user=2XL6xRgAAAAJ&hl=en | ||||||
156 | 9/25/2025 10:51:31 | Mike Karlin | mkarlin@csudh.edu | California State University, Dominguez Hills | PhD Instructional Systems Technology, prior publication experience is peer reviewed journals and book chapters, centered mostly around qualitative work and some mixed methods - topics center around professional development, elementary education, broadening participation in computer science education, teacher education, equity issues in CS | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | professional development, qualitative, case study, broadening participation, computer science education, elementary education, teacher education | https://scholar.google.com/citations?hl=en&pli=1&user=pzHIwJIAAAAJ | ||||||
157 | 9/25/2025 10:56:00 | Susan Fisk | sfisk@kent.edu | Kent State University | Sociologist/ social psychologist who studies occupational choice, reproduction of inequality, and discrimination | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | experimental, quantitative, structural equation modeling, regression, discrimination, occupational aspirations, social class, gender | https://scholar.google.com/citations?hl=en&user=Qhc6YrkAAAAJ&view_op=list_works&sortby=pubdate | ||||||
158 | 9/25/2025 11:17:43 | Diana Franklin | dmfranklin@uchicago.edu | University of Chicago | Relevant publication experience in: Computer science education - middle-school. Quantum computing education, MS and HS | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Computer science education - middle-school. Quantum computing education, MS and HS | https://scholar.google.com/citations?user=gG5PRvgAAAAJ&hl=en | ||||||
159 | 9/25/2025 11:44:51 | Tahiya Chowdhury | tahiya.chowdhury@colby.edu | Colby College | PhD in Computer Engineering. Assistant Professor of Computer science. | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | AI and CS education, Project-based learning, Liberal Arts education, Computing education for non-CS | https://scholar.google.com/citations?user=xF9c348AAAAJ&hl=en | ||||||
160 | 9/25/2025 11:46:12 | Keith Quille | keith.quille@tudublin.ie | TU Dublin | CS undergrad, education level 9, and PhD in CS with CER. | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE), I've chaired a CER program committee or served as editor of a CER journal | K-12, Teacher PD, AI in CS, AI for predicting success | https://scholar.google.com/citations?user=k0hujB0AAAAJ&hl=en | ||||||
161 | 9/25/2025 11:49:39 | Judith Odili Uchidiuno | jiou3@gatech.edu | Georgia Tech School of Interactive Computing | CS Undergrad, PhD in HCI | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | CS Education Equity, AI Literacy Education, CS Education Game Design, Participatory Design | https://scholar.google.com/citations?user=n6zdTxUAAAAJ&hl=en&oi=ao | ||||||
162 | 9/25/2025 11:51:54 | Sophie Rollins | sophierollins2023@u.northwestern.edu | School of Communication at Northwestern University | Current second-year PhD student in Technology and Social Behavior at Northwestern Hold BS/MS in Computer Science form Northwestern University | I've reviewed multiple non-CER research papers | AI literacy for middle schoolers, embodied interaction, qualitative research methods, design-based research, speculative design, unplugged activities, AI ethics | https://orcid.org/0009-0004-5481-4824 | ||||||
163 | 9/25/2025 11:55:44 | Zhenyao Cai | zhenyaoc@uci.edu | University of California Irvine | PhD in Education at UCI, focusing on collabroative learning, AI in Education, Children, Human-centered AI. Published in ACM IDC, ACM CHI, and ISLS | I've reviewed multiple non-CER research papers | I used mixed methods quantitative is more familiar to me. | https://scholar.google.com/citations?user=I8AknPMAAAAJ&hl=en | ||||||
164 | 9/25/2025 12:17:23 | Saima Ritonummi | saima.e.ritonummi@jyu.fi | University of Jyvaskyla | Doctor of Science in Information Systems, early postdoc. I have published in and reviewed for Information Systems, Computing, and Software Engineering outlets. | I've reviewed multiple non-CER research papers | Information Systems, Human-centered computing, Human-computer interaction, Empirical studies in HCI, Software creation and management, Technostress, Flow, Qualitative methods, Critical Incident Technique, Interviews, Qualitative questionnaires | https://orcid.org/0000-0001-6708-7639 | ||||||
165 | 9/25/2025 12:18:29 | Tobias Bahr | t.t.bahr@web.de | University of Potsdam | State exam teacher in CS and mathematics, Ph.D. in Computing Education, some SIGCSE conference paper and some journal paper e.g. in Computer Science Education, JCE, ... | I've reviewed multiple CER papers | Quantitative Methods, IRT, Validation, Competence, CT, Gender Research, SEM, Qualitative Content Analysis, AI, Conceptions, Misconceptions, CI | https://orcid.org/0000-0002-0766-9992 | ||||||
166 | 9/25/2025 12:22:58 | Kaitlyn Stormes | kaitlyn.stormes@uga.edu | University of Georgia | Degrees: PhD in Higher Education and Organizational Change from UCLA; MA in Higher Education and Organizational Change from UCLA; MA in Psychology from Cal Poly Humboldt; BA in Psychology from Cal Poly Humboldt Disciplines & expertise: Higher Education, social science research, college students, psychology | I've reviewed multiple CER papers | Key words: Higher Education; College student success; STEM persistence; gender equity in STEM; computing; computing identity; sense of belonging; self-efficacy; quantitative | https://scholar.google.com/citations?hl=en&view_op=list_works&gmla=AH8HC4wOIBl61I-fDkHMsxaLeFIARJhK1FSJnr896aQ63bseQW_l46FgV82n9aNnHSWjH7n3kxR4bixuymbUzJHgAXAB&user=Kw4JtxsAAAAJ | ||||||
167 | 9/25/2025 12:26:29 | Sacide Güzin Mazman AKAR | guzin.mazman@usak.edu.tr | Uşak University | I hold a Ph.D. in Computer and Instructional Technologies. My academic background is rooted in educational sciences and instructional technology | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | My expertise lies in the fields of educational technologies, digital transformation in education, information literacy, digital literacy, computational thinking and computational literacy, and technology-enhanced learning environments. I have conducted and reviewed extensive research on topics such as teacher education, pre-service teacher competencies, digital game addiction, and the role of spatial ability in immersive and digital learning contexts. In terms of research methods, I am experienced with quantitative designs (e.g., survey studies, experimental and quasi-experimental designs, regression and ANOVA analyses). I am also highly familiar with systematic reviews and bibliometric analyses. Keywords: instructional technologies, digital transformation, information literacy, digital literacy, spatial ability, immersive learning, Web 2.0 tools, computational literacy, teacher education, quantitative research, mixed methods, systematic review, bibliometric analysis. | https://scholar.google.com.tr/citations?hl=tr&user=Tcfzu8FlipgC&view_op=list_works&sortby=pubdate | ||||||
168 | 9/25/2025 12:31:07 | Jean Salac | salac@carleton.edu | Carleton College | BS, MS, PhD in Computer Science. Prior pubs in CER and HCI venues. | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | I think y'all already have my expertise somewhere since I've reviewed a couple of times, but here it is just in case: primary & secondary CER, program comprehension, block-based languages, metacognition, algorithmic fairness, ethical reasoning, undergraduate education, liberal arts colleges, quantitative and qualitative methods. | https://scholar.google.com/citations?user=qRjuJKQAAAAJ&hl=en&oi=ao | ||||||
169 | 9/25/2025 12:58:26 | João Marcelo Borovina Josko | marcelo.josko@ufabc.edu.br | Federal University of ABC - São Paulo - Brazil | Postdoctoral Researcher in Education (University of Campinas - Brazil), PhD. in Computer Science (University of São Paulo - Brazil), Master in Computer Science (University of Campinas - Brazil) | I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | My research focuses on exploring and developing innovative methods and interventions for education across different levels of learning. At the higher education level, I investigate both unplugged and technology-enhanced approaches, designing strategies that foster engagement, critical thinking, and applied problem-solving. For elementary education (up to 12 years old), my work emphasizes unplugged interventions grounded in active methodologies, with particular attention to Educational Psychodrama as a powerful tool to promote creativity, collaboration, and conceptual understanding. Methodologically, I adopt a mixed-methods approach that combines quantitative analyses (e.g., Wilcoxon tests, t-tests, ANOVA, surveys, and descriptive statistics) with qualitative techniques (such as interviews and participatory observation), ensuring a comprehensive understanding of educational processes and outcomes. In addition, I develop educational software to support learning in both contexts: simulators and interactive tools for higher education (e.g., an operating system simulator), as well as playful and context-specific applications for elementary education (e.g., a digital game designed to teach about Brazil’s flora). Finally, I was reviewer of past editions of SIGCSE and ITiCSE. Currently, I am reviewer of Educational Sciences Journal. | https://orcid.org/0000-0002-8654-5866 | ||||||
170 | 9/25/2025 13:02:52 | Chantra Nhien | csnhien@g.ucla.edu | UCLA | PhD, Education, Early career scholar (only started actively publishing over the past 2-3 years) | I've reviewed multiple non-CER research papers | Quantitative research, higher education, Southeast Asian students, computing education, BPC, methodological reviews (not an expert, but can be a secondary reviewer) | https://scholar.google.com/citations?user=2JEwr6YAAAAJ&hl=en | ||||||
171 | 9/25/2025 13:03:59 | Ceren Ocak | cocak@georgiasouthern.edu | Georgia Southern University | PhD in Learning, Design & Technology; M.Sc. in Curriculum & Instruction; B.S. in Science Education | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | My primary research interest, and the focus of much of my recent work, lies in embodied cognition and computational thinking (CT), where I explore children’s development of CT through the use of bodily resources such as gestures and discourse (i.e., qualitative: multimodality, and social semiotics). Over the years, this interest has branched into distinct areas of specialization. One branch is computer science education, which stems from my postdoctoral research, where I gained experience in supporting research–practitioner partnerships and in helping elementary teachers develop and integrate CT to promote equitable and accessible computing education. I have carried this experience into my role at Georgia Southern as an Assistant Professor, where I teach computer science and CT courses as part of the Computer Science Education Endorsement for Teachers program. | https://scholar.google.com/citations?user=MGRmKFQAAAAJ&hl=en&oi=ao | ||||||
172 | 9/25/2025 13:11:04 | Victoria Macann | victoria.macann@gmail.com | Ohio State University | PhD computing education, MEd Digital Technology, BSc Biology, Post grad Sec Teach. Computational thinking, computing ed, AI ed, efficacy, pre service/in service teacher professional development. | I've reviewed multiple CER papers | Computational thinking, computing ed, AI ed, efficacy, pre service/in service teacher professional development. Ed psych. Mixed methods, qual. | https://scholar.google.com/citations?user=f2uUpngAAAAJ&hl=en | ||||||
173 | 9/25/2025 13:11:16 | Sami Saeed A Alghamdi | s.s.a.alghamdi2@ncl.ac.uk | Newcastle university | Human-computer interaction, Informal learning experiences online, design tool support for self-regulation online | I've reviewed multiple CER papers | Qualitative, thematic analyses, human-centred approach , user-centred design | https://scholar.google.com/citations?user=xR7H36kAAAAJ&hl=en&oi=sra | ||||||
174 | 9/25/2025 13:22:48 | Zifeng Liu | liuzifeng@ufl.edu | University of Florida | I hold a Bachelor’s degree in Computer Science and a Master’s degree in Computer Software and Theories. I am currently a third-year Ph.D. student in Educational Technology at the University of Florida. My research focuses on AI in education and learning analytics, and I have submitted several journal articles and top conference papers in the educational technology field. I also serve as a reviewer for journals such as Computers & Education and Journal of Computing in Higher Education, as well as conferences including SIGCSE TS， ICER and EAAI. Please find my CV here: https://docs.google.com/document/d/19AuJULqxcOA-NQO4CfwLkq6kr-a6FXWcGbYvZ54Ktq4/edit?usp=sharing | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | My expertise is in K-12 computing education and educational technology, with a particular focus on K–12 AI literacy, programming education, assessment design, and student engagement. I study topics such as AI-generated distractors for multiple-choice questions in online AI education, plagiarism detection in programming, and discourse analysis in video-based instruction. Methodologically, I use learning analytics, log data analysis, clustering, regression, and explainable machine learning. | https://scholar.google.com/citations?user=LYcLLGkAAAAJ | ||||||
175 | 9/25/2025 13:23:56 | Irena | irena.nancovska@pef.uni-lj.si | University of Ljubljana, Faculty of Education | Educational Background: PhD, Faculty of Electrical Engineering, University of Ljubljana MSc, Computer Science, Faculty of Computer and Information Science, University of Ljubljana Disciplinary Background: Computer Science Education Programming Education Research Educational Technology Modelling in Education Research Experience: 30 years of experience in CS education research Focus on programming pattern comprehension and teacher preparation Mixed-method research in educational settings Publications: Peer-reviewed publications documented in ORCID and Google Scholar profiles Research focus on programming education, computational thinking, and teacher preparation Conference presentations and journal articles in computer science education | I've reviewed multiple CER papers, I've chaired a CER program committee or served as editor of a CER journal | My research expertise centers on computer science education, particularly programming education and computational thinking development. I have extensive experience in programming pattern comprehension, teacher preparation, and educational modeling approaches. My work employs mixed-method research designs, including longitudinal studies and educational assessment development. I've conducted research on learning styles, game-based learning through Scratch programming, Bebras computational thinking tasks, and modeling in education. My methodological toolkit includes analysis, survey design, experimental designs, and educational data analysis. I have deep knowledge of CS education literature, cognitive science applications in CS education, and technology-enhanced learning environments. | https://orcid.org/0000-0003-0934-3125 https://scholar.google.com/citations?user=HYc2X1UAAAAJ&hl=en | ||||||
176 | 9/25/2025 13:33:52 | Anna Drobná | drobna@ksvi.mff.cuni.cz | Charles University (Prague,) | Master's degree in primary education, Ph.D. (currently in final year) in education science, 6+ years in edu and computing research | I've reviewed multiple non-CER research papers | Primary school education (K-6 education), pre-primary education, qualitative methodology, internet, conceptual change theory, preconceptions, teacher education, equity in education, inclusion | https://scholar.google.com/citations?user=05B6v48AAAAJ&hl=cs&oi=ao | ||||||
177 | 9/25/2025 13:43:28 | Alessio Bellino | abellino@uc.cl | Pontificia universidad católica de Chile | Computer science, education, physical computing, interaction design, human-computer interaction | I've reviewed multiple non-CER research papers | Physical computing, quantitative methods, workshop design, block-based programming, motivation in education | https://scholar.google.com/citations?user=ttvfkoIAAAAJ | ||||||
178 | 9/25/2025 13:46:02 | Rotem Israel-Fishelson | rotemisf@umd.edu | University of Maryland | Postdoc, PhD, MSc, BA | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Data science education, computational thinking, learning analytics, creativity, participatory design | https://scholar.google.com/citations?user=qpYDyAkAAAAJ | ||||||
179 | 9/25/2025 14:07:46 | Reid Holmes | rtholmes@cs.ubc.ca | University of British Columbia | Professor of Computer Science, specializing in Software Engineering. Frequently publish at ICSE-SEET, SPLASH-E. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | software engineering, program comprehension, software testing, software engineering education | https://scholar.google.ca/citations?user=i2jSMA8AAAAJ&hl=en | ||||||
180 | 9/25/2025 14:11:28 | Kristin Stephens-Martinez | ksm@cs.duke.edu | Duke University | Ph.D. in Computer Science Education from UC Berkeley. I have published in help-seeking, wrong answer analysis, diversity issues, CS1/CS2 context mainly, exam wrappers, predicting exam grade, formative assessment | I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | quantitative methods, help-seeking, mixed methods, distractors, what will python print, wrong answers, assessment, grading for equity, CS1, CS2 | https://orcid.org/my-orcid?orcid=0000-0002-3058-7418 | ||||||
181 | 9/25/2025 14:58:25 | Andrea Ramirez-Salgado | aramirezsalgado@ufl.edu | University of Florida | PhD in curriculum and instruction, bachelor and master in computer science | I've reviewed multiple non-CER research papers | AI education, Computational Thinking, STEM education, engineering career choice, engineering education | https://scholar.google.com/citations?user=IKqFWZsAAAAJ&hl=en | ||||||
182 | 9/25/2025 15:02:46 | Diana Kirk | dianackirk@fastmail.com | The University of Auckland | B.A. Mathematics (Open University U.K.); M.Sc. Intelligent Knowledge Based Systems (University of Edinburgh); Ph.D. Computer Science (University of Auckland). | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | Software development life-cycle practices, software code quality, computer science education | https://orcid.org/0000-0002-3042-423x | ||||||
183 | 9/25/2025 17:23:34 | Ronnie Videla | rvidelareyes@gmail.com | Universidad Santo Tomás, Chile | Cognitive Science, AI in Education, STEM, Embodied AI, XR in Education. | I've reviewed multiple non-CER research papers | Mixed Methods, Qualitative Research and Design Based Research. | https://scholar.google.com/citations?user=H2qDG6gAAAAJ&hl=es | ||||||
184 | 9/25/2025 18:12:10 | Dr Myneni Madhu Bala | Drmmb2016@gmail.com | VNR Vignana Jyothi Institute of Engineering and Technology | Professor of Computer Science | I've reviewed multiple non-CER research papers | Deep learning, machine learning and federated learning, edge AI | https://www.scopus.com/redirect.uri?url=https://orcid.org/0000-0003-4734-5914&authorId=57192681614&origin=AuthorProfile&orcId=0000-0003-4734-5914&category=orcidLink | ||||||
185 | 9/25/2025 18:56:44 | Narasimha Bolloju | narsi.bolloju@hyderabad.bits-pilani.ac.in | BITS Pilani, Hyderabad Campus, India | B.Tech (EE), M.Tech (Industrial and Management Engg.), Phd (CS) Prior publications (pls see https://scholar.google.com/citations?hl=en&user=k78QnLIAAAAJ) | I've reviewed multiple non-CER research papers | Requirements modeling, Quality of requirements, Systems Integration, Knowledge Management, Decision Support Systems | https://scholar.google.com/citations?hl=en&user=k78QnLIAAAAJ | ||||||
186 | 9/25/2025 19:25:43 | Oladele Campbell | oladelecampbell@gmail.com | Niger State Polytechnic, Nigeria. | PhD (Computer Science Education), MSc (Computer Science), BSc (Computer Science), Published in ACM TOCE, ItiCSE, CompEd, and Elsevier | I've reviewed multiple CER papers | I have interest studying how to broaden participation and provide engaging novice programming education. I have explored how a constructionist programming pedagogy using Scratch contribute to these goals, and impacts on the achievement of first-year college CS students. Lasting two academic sessions, I conducted two quasi-experiments involving over 500 CS1 students from selected Nigerian polytechnics. To strengthen research design, I employed Coarsened Exact Matching (CEM) to generate matched samples from the control and experimental classes to make strong causal inference from the data. Results from my research have been published in Elsevier journals: Heliyon and Data in Brief I have more expertise in quantitative research. For instance, I conducted quasi experimental studies involving cohorts of CS1 students spread across two sessions, studying the impact of a constructionist Scratch pedagogy on their achievement in programming. I have a little experience in qualitative research. I was involved in a study of computer science educators in Nigerian universities, investigating the curriculum, their teaching strategies, research and publications experience, their challenges, knowledge of international CS education publishing venues, etc. | https://orcid.org/0000-0003-4922-6791 | ||||||
187 | 9/25/2025 19:39:47 | EDWIN TORRALBA | edwinmtorralba@gmail.com | Malabon City National Science and Mathematics High School | Machine Learninig in Education | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Machine Learninig in Education | https://www.semanticscholar.org/author/E.-M.-Torralba/151357140 | ||||||
188 | 9/25/2025 20:21:19 | Liang Zhang | liang.z@buaa.edu.cn | School of Computer Science and Engineering, Beihang University, China | I hold an Ph.D in Computer Science and Applications from the School of Computer Science and Engineering, Beihang University (BUAA), gaining deep knowledge in core CS areas (algorithms, software engineering, computational systems) and industrial practice integration. I have published on computer education in international conferences, including ACM SIGCSE TS, IEEE FIE, and IEEE TALE—venues focused on advancing CS pedagogies, engineering education strategies, and tech-integrated learning for STEM. | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | My expertise lies in applying cutting-edge computer technologies to address key challenges in education, with a dual focus on advancing teaching methodologies and enhancing learning outcomes. Core Research Areas are Education Technology Innovation: Solving practical issues in education, such as optimizing instructional methods (e.g., personalized teaching design) and evaluating/improving teaching effectiveness (e.g., assessing student engagement and knowledge mastery). I have hands-on familiarity and extensive reading experience with technologies including: - Deep Learning Models: Leveraging their capabilities for tasks like educational data analysis (e.g., predicting student learning gaps) and intelligent content recommendation. - Large Language Models (LLMs): Exploring their applications in education, such as developing adaptive tutoring systems, automating feedback on student assignments, and supporting interactive learning. - Other Computer Technologies: Applying relevant computational tools to process and interpret educational data, enabling data-driven decisions to refine teaching strategies. I am well-versed in research discourses around integrating these technologies with educational practices—focusing on how to align technical solutions with real-world teaching needs to drive impactful improvements in the education sector. | https://orcid.org/0000-0003-1566-4902 | ||||||
189 | 9/25/2025 20:57:15 | Raimundo da Silva Barreto | rbarreto@icomp.ufam.edu.br | Federal University of Amazonas (Brazil) | PhD in Computing Science | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | Unplugged computing; Physical/Virtual Learning Objects; Machine Learning in Education | https://scholar.google.com.br/citations?user=W6H3n84AAAAJ | ||||||
190 | 9/25/2025 21:33:05 | Swaroop Joshi | swaroopj@goa.bits-pilani.ac.in | BITS Pilani, India | PhD (Computer Science and Engineering), The Ohio State University, USA (2017). MTech (Computer Science and Engineering), IIT Bombay, India (2010). | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | I mainly work in the area of Game-based learning and accessibility. I have published over a dozen papers in computing education venues (ICER, SIGCSE, CompEd) using questionnaires, focused group interviews, 1-1 interviews, and mixed methods studies. Some of my recent under-review publications use design-based research. | https://scholar.google.com/citations?user=iibndPYAAAAJ | ||||||
191 | 9/25/2025 22:39:43 | Hongxuan Chen | hc10@illinois.edu | University of Illinois Urbana-Champaign | PhD candidate in computer science, with research focus on cs education. Previously published in SIGCSE, TOCE, IEEE FIE, ASEE, etc. | I've reviewed multiple CER papers | My research spans student difficulties with various CS topics like algorithm design, proofs, cache, and SQL, evaluating course policies, and observing collaborative learning classrooms. I use qualitative methods like think-aloud interviews and thematic analysis, as well as quantitative methods like statistical tests, linear regression, ANOVA, etc. Here are some of my peer-reviewed publications and methods used: 1. Liu, J., Poulsen, S., Goodwin, E., Chen, H., Williams, G., Gertner, Y. & Franklin, D. (2025). Teaching Algorithm Design: A Literature Review. ACM Transactions on Computing Education. Earlier version presented as a poster at ACM SIGCSE TS 2024, Portland, OR, USA. - Systematic literature review 2. (Poster) Chen, H., Braught, K., Herman, G.L., & Erickson, J., (2025). Novice Difficulties in Graph Layering for Algorithm Design. ACM SIGCSE TS 2025, Pittsburgh, PA, USA. - Think-aloud interviews, thematic analysis 3. Chen, H., Li, A., Challen, G., & Cunningham, K., (2024). Implementation of Split Deadlines in a Large CS1 Course. ACM SIGCSE TS 2024, Portland, OR, USA - t-test, mann-whitney u-test, thematic analysis 4. Chen, H., Fong, M.M., Herman, G.L., & Silva, M. (2023). Student Autonomy in Collaborative Learning: Effects of Meeting Time and Team Consistency. IEEE FIE 2023, College Station, TX, USA. - Linear regression 5. Chen, H., West, M., Hilgenfeldt, S., & Silva, M. (2023). Measuring the Impact of a Computational Linear Algebra Course on Students' Exam Performance in a Subsequent Numerical Methods Course. ACM SIGCSE TS 2023, Toronto, Canada. - Linear regression | https://scholar.google.com/citations?user=K02oRigAAAAJ&hl=en&oi=ao | ||||||
192 | 9/26/2025 0:58:41 | Wendy Yanez | w.yanez@bham.ac.uk | University of Birmingham | Ph.D. Computer Science and M.Sc. Computer Security, both at University of Birmingham | I've reviewed multiple CER papers | Working at the intersection of software engineering, artificial intelligence, and emerging technologies such as IoT, blockchain, and digital twins. | https://scholar.google.com/citations?user=MMDvWPAAAAAJ&hl=es | ||||||
193 | 9/26/2025 1:17:35 | Andrea Mauri | andrea.mauri@univ-lyon1.fr | Université Claude Bernard Lyon 1 | I have a PhD in Computer Science. My interests are between data management and HCI. Especially I'm interested in how to include human factors in the development and deployment of data intensive application. As consequence, I believe education (i.e. how people learn to use such systems) is extremely important. | I've reviewed multiple non-CER research papers | HCI, sql, cypher, databases, graph databases, human-centered, user studies, query languages | https://scholar.google.com/citations?user=pmziRtMAAAAJ&hl=it | ||||||
194 | 9/26/2025 1:48:13 | Francisco Iniesto | finiesto@lsi.uned.es | Universidad Nacional de Educacion a Distancia (UNED) | PhD at the Institute of Educational Technology (Open University UK) focus on educational technology, Master in eLearning at UNED and Computer Engineerin degree at the Autonomous University of Madrid | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | Edu4.0, IoT, IA, Robotics, MOOCs, accessibility, usability, user experience, online learning | https://orcid.org/0000-0003-3946-3056 | ||||||
195 | 9/26/2025 2:12:58 | Andreas Eckert | andreas.eckert@lnu.se | Linnaeus University, Sweden | phd in mathematics education 2017 | I've reviewed multiple CER papers | Mostly programming with young students <16 years old. Design research. Programming for mathematics. | https://scholar.google.com/citations?hl=sv&user=bZ-cYlAAAAAJ | ||||||
196 | 9/26/2025 2:44:05 | Oluwatoyin a | Toyin@sure-impact.com | Bingham University, Miva Open University | BSc computer science, MSc Software Engineering, MA (Education) Learning and Teaching, PhD Computer Science (Computing Education) | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | Teaching programming, introductory programming, CS1, CS curriculum, blooms taxonomy, contextualization of curriculum, assessment, programming skill. | https://scholar.google.com/citations?user=Ozw1TAYAAAAJ&hl=en | ||||||
197 | 9/26/2025 3:12:20 | Matija Novak | matija.novak@foi.unizg.hr | Asistant professor | PhD in social sciences - information and communication technologies, my phd was about source-code plagiarism detection, I have a master in informatics, my research focus is software engineering, source-code plagiarism detection, web programming (Java, PHP, JavaScript, NodeJS), surveys about student experiences about AI or gamification, also I did some research in IoT and technical things like working with raspberry pi Arduino, and did some assembly programming | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers | I am mostly familiar with surveys and experiments (comparisons) followed by statistical analysis like ANOVA, t-test, persons coefficient, chi-square, etc., I did some semantic literature reviews the most popular was published in ACM TOCE, I did some qualitative research like interview but mostly analyzing open ended questions (coding), design science I try to get into | https://scholar.google.com/citations?user=RGw-Yk8AAAAJ or https://www.croris.hr/osobe/profil/31919?lang=en or https://orcid.org/0000-0002-9501-7299 | ||||||
198 | 9/26/2025 4:01:44 | Claus Brabrand | brabrand@itu.dk | IT University of Copenhagen, Denmark | PhD in Computer Science. Educational Research and Computing Education Research | I've reviewed multiple non-CER research papers, I've reviewed multiple CER papers, I've served on one or more CER program committees (e.g., ICER, Koli, SIGCSE, ITiCSE, etc.) or editorial boards (CSE, TOCE) | TOPICS: I have worked with almost anything within Computing Education Research, but espcially, CS1, Intented Learning Outcomes, Teaching/Learning Activities, and Assessment. I have also worked with Programming Language Research and Software Variability (Software Product Lines). METHODOLOGY: I have worked with a wide variety of scientific research methods: quantitative/qualitative, exploratory/confirmatory, controlled experiments, survey & interview studies, case studies, document & artifact analysis, and mixed-methods triangulation. | https://scholar.google.com/citations?user=oxk_o-UAAAAJ https://dblp.org/pid/61/6274.html |