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AV Data Workshop - Introductions

ICLS 2020

June 20th 1pm-4pm CDT

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Instructions

Please make a copy of the Template Slide (slide 3) and fill it out for yourself! Please move your slide and place it in alphabetical order.

A photo is recommended (but not necessary)

We will time this slide presentation so that each slide has 30 seconds; that’s how long you’ll have to introduce yourself

Keep this slide deck handy throughout the workshop so you can re-introduce yourselves to each other

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[Name]

  • Preferred pronouns
  • Meaningful affiliations

One sentence or phrase that describes your research interests

How do you (plan to) use audio and/or video data in your work?

Insert photo here (recommended but optional)

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Nigel Bosch

  • He/him
  • University of Illinois School of Information Sciences, Department of Educational Psychology

Applications of machine learning to educational technology and analysis

I am interested in analyzing large-scale datasets with unsupervised and semi-supervised methods to discover high-level insights

Insert photo here (recommended but optional)

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Cynthia D’Angelo

  • she/her/hers
  • University of Illinois at Urbana-Champaign

Researching the intersection of STEM Education, multi-modal learning analytics, and advanced learning technologies.

I use audio data (along with other modalities, like computer log data) to study collaboration in classroom settings.

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Joshua Rosenberg

  • he/him/his
  • University of Tennessee, Knoxville

Science education, data science in education, and data science education

I plan to collect audiovisual data as a part of classroom research about science learners’ processes related to working with data

(and help to develop and use methods as a part of the T(CA)^2 project)

Insert photo here (recommended but optional)

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Stina Krist

  • she/her
  • University of Illinois College of Education, Dept of Curriculum & Instruction

How teachers support the epistemological and affective dimensions of students’ science learning

Having teachers collect and analyze video of their classrooms; recordings of teacher PD sessions

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Elizabeth Dyer

  • she/her
  • Tennessee STEM Education Center at �Middle Tennessee State University

My research focuses on the processes and mechanisms behind instructional improvement in science and mathematics education.

Video & audio data from teacher PD & math classrooms. It includes video from teachers’ point of view while teaching, and videos of interviews with teachers about POV moments they tag in the midst of teaching.

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Reyhaneh Bastani

  • she/her/hers
  • ٌWerklund School of Education, University of Calgary

Supporting students to explore emergent systems while using science and mathematics, through a board game redesign approach

Video recording of students’ group interactions and discussions and their design practices

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Brian Belland

  • He/him/his
  • Department of Educational Psychology, Counseling, and Special Education, The Pennsylvania State University

Scaffolding to support argumentation and problem-solving in STEM

Using screencasts to analyze problem solving processes

Insert photo here (recommended but optional)

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Nadav Ehrenfeld

  • He, him, his
  • Vanderbilt University,
  • Nashville, TN, USA

I’m looking into different ways teachers facilitate student collaboration (using video), the conversations students have in these classrooms (using audio), and connections between teaching and student learning.

I’m also interested in the ways teachers learn about classroom interactions.

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Imogen Rose Herrick

  • she/her/hers
  • University of Southern California

Creating science learning where learners can see themselves and another world through funds of knowledge, place-based education, and environmental justice.

I want to use audio/video data to understand how learners talk about science and to unpack teacher practice in both informal and formal learning spaces.

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Xudong Huang

  • she/her/hers
  • The Concord Consortium (Boston, MA)

My research focuses on technology-enhanced science learning, such as the learning supported by infrared imaging, computer-aided design tool, and remote laboratory.

We use smartphones as an instrument in the science laboratory. I want to analyze the phone screencast to understand the problems students meet during the experiment and how technology can help.

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DOY KIM

  • He/Him/His
  • Educational Psychology (Learning Sciences), University of Wisconsin-Madison

I study the role of our bodies in mathematics learning! (e.g., gestures)

My lab developed a gesture-based game that captures their speech as well. I wish I could further utilize the speech analysis skills for the videos our lab have.

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Marta Kobiela

  • She/her
  • McGill University (Montréal, Canada)

I study how individuals learn to engage in disciplinary and professional practices in mathematics education.

  • Video recordings of learning environments to understand how movement and interactions with materials and other people support learning.
  • Video-recorded interviews in which teachers/teacher educators watch video of themselves or others to understand what they notice.

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Eric Kuo

  • He/him
  • Physics, University of Illinois

Understanding and fostering science problem-solving expertise & epistemic development

Audio/video of one-on-one interviews & small-group collaboration in classrooms.

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Monica Chan

  • She / her / hers
  • Education Technology; Columbia University (Teachers College)

Authentic Formative Assessments in K-12 Makerspaces

Audio and/or videos of interviews, focus groups, log data to analyze students’ behavior and interactions with one another and with technologies

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Noel Kuriakos

  • he/him/his
  • University of Maryland College Park, Col of Edu, TLPL Dept

Developing, implementing, assessing, critical data science curriculum for non-STEM content domains, for 5-8 grades

Autocoding of video/audio during classroom observations, to analyze student activity (cooperative & collaborative) & teacher noticing.

Retouched using extraordinary AI (training set = 1.5 millions images) 😊

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Shimeng (Jenny) Liu

  • She/her
  • Werklund School of Education, University of Calgary (Alberta, Canada)

Intellectual emancipation and embodiment in early STEM education

I used video and audio data to understand learners’ participation and agency.

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Nessrine Machaka

  • She/her
  • University of Illinois at Urbana - Champaign, College of Education, Curriculum & Instruction (Science Education)

Understanding STEM teacher learning and classroom dynamics, how teachers support students’ sense making

I plan to use audios from teacher interviews and recordings of PDs and classroom videos

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Carolyn P. Rose

  • she/her
  • Professor of Language Technologies and Human-Computer Interaction, Carnegie Mellon University
  • Past president and Inaugural Fellow of ISLS, Co-editor-in-chief of ijCSCL

Computational Discourse Analysis and Conversational Agents in Support of Collaborative Learning

See a recent demo: vimeo.com/430857816

Insert photo here (recommended but optional)

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Zikai Alex Wen

  • He/him/his
  • Computer Science Dept, Cornell Tech, Cornell University

I enhance the accessibility of intelligent tutoring systems & educational games for special education students (specific learning disabilities or visual impairments).

Many SPED students are tactile learners, so mainstream e-learning tools were not accessible to them. I process AV data and use mixed reality technology to help SPED students learn independently.

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Enrique (Henry) Suárez

  • He/Him/His
  • UMass Amherst, Teacher Education & Curriculum Studies

Understanding the translanguaging practices emergent multilingual students’ leverage when making meaning of physical phenomena

Video/audio are key for studying the range of semiotic resources students leverage when sharing their observations and reasoning about phenomena

Insert photo here (recommended but optional)

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Francisco Castro

  • He, him, his
  • Worcester Polytechnic Institute, UMass Amherst Advanced Learning Technologies Lab

I research learner interactions with computational tools and how these interactions shape learning.

I use audio and video data to understand how learners develop or reason about strategies for solving programming problems and how they make sense of programming constructs.

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Yipu Zheng

  • she/her/hers
  • Teachers College, Columbia University - Transformative Learning Technologies Lab

Capture, understand and facilitate people’s inquiry in open-ended learning environments

Use video data of learners’ problem solving processes to identify different inquiry and help-seeking strategies

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Haesol Bae

  • She/her/hers
  • Indiana University Bloomington

Interested in investigating ways to support teachers in collaborative inquiry environments using different technology (e.g., cognitive assistants)

Worked with classroom video for PBL video case development. Plan to use video data to analyze teacher-student discourse and dynamic interactions during collaborative inquiry in classrooms

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JooYoung Seo

  • He/his/him
  • Ph.D. candidate in the Learning, Design, and Technology program at the Pennsylvania State University/currently software engineer intern at RStudio

NLP, text mining, reproducible research, statistical computing with a special focus on accessible STEM for people with visual impairments.

Working on dissertation, quantitative ethnography, using a large-scale (more than 10 years) email corpus produced by the National Federation of the Blind STEM mailing listservs.

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Tugce Aldemir

  • She/Her
  • Learning Design and Technology Program, The Pennsylvania State University

My research interests are: socio-emotional interaction and regulation in collaborative learning environments, intergroup dialogues, socio-metacognition

I am planning to analyze students’ intergroup dialogues about sensitive issues. The videos along with online discussions will be analyzed to determine teams’ sense-making processes and to develop tools to support socio-metacognitive regulation so teams can improve their own intergroup dialogue.

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Ayesha Bhimdiwala

  • she/her/hers
  • Learning Sciences student @ Indiana University Bloomington

My research interest lies in semi-computational techniques to analyze disciplinary engagement

I plan to use non-computational and computational analysis of disciplinary engagement on video and audio data

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Karlyn Adams-Wiggins

  • They/Them, She/Her
  • Portland State University, Department of Psychology (Portland, OR, USA)

Social construction of marginal identities in middle school inquiry science; Construction of Black/African-diaspora identities in sociohistorical contexts

Microgenetic studies of equity in peer interactions during collaboration in STEM contexts

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Leo Jian Liao

  • He, His, Him
  • Penn State University, Learning Design and Technology

Application of Telepresence robots in Education

I plan to use computational methods to analyze the video data in learning activities via telepresence robots