Reading List - CSE599 - Computing Education Research - Winter 2024
No readings due
Theme: What we’re talking about when we talk about learning
How People Learn II, Chapter 2
Misconceptions Reconceived (Smith et al., 2009)
From Practice Fields to Communities of Practice (Barab & Duffy, 2000)
A Short History of the Learning Sciences (Hoadley, 2018)
Theme: Computational Thinking
Wing (2006)
Mindstorms: Introduction + Chapters 1-5 (Papert, 1980)
Make sure to read Mindstorms before reading these:
Logo Programming and Problem Solving (Pea, 1983)
Computer Criticism vs. Technocentric Thinking (Papert, 1987)
The Aims of Software Criticism (Pea, 1987)
Viewpoints on CT from Curzon et al. (2019)
On the Cognitive Effects of Learning Computer Programming (Pea & Kurland, 1984)
Computational Thinking (Curzon et al., 2019)
Mindstorms: what did Papert argue and what does it mean for learning and education? (Ko, 2016)
New frameworks for studying and assessing the development of computational thinking (Brennan & Resnick, 2012)
Theme: What and How Can We Know?
Common Guidelines for Education Research and Development (U.S. Department of Education & National Science Foundation, 2013)
From Theory Bias to Theory Dialogue (Kafai et al., 2020)
Design Experiments (A. Brown, 1992)
Design Experiments in Educational Research (Cobb et al., 2003)
DBR: Putting a Stake in the Ground (Barab & Squire, 2004)
Launching Registered Reports in Computer Science Education Research (N. Brown et al., 2022)
Theme: CT in Practice
CT: A Disciplinary Perspective (2021)
The Structure and Interpretation of the Computer Science Curriculum (Felleisen et al., 2004)
Dynaturtle Revisited (Sherin et al., 1993)
The Case for Alternative Endpoints in Computing Education (Tissenbaum, 2021)
No readings due.
In class: Present problems and framing
Theme: Culture in Computing
Beards, Sandals, and Other Signs of Rugged Individualism (Ensmenger, 2015)
Co-ML (Tseng et al., 2024)
A Key to Reducing Inequities… (Everson et al., 2022)
How do we assess equity in programming pairs? (Deitrick et al., 2016)
The Stratified Learning Zone (Abrahamson & Wilensky, 2005)
Theme: Collaborative Learning
Learning by Collaborating (Roschelle, 1992)
Making Hay from Wheats (Prasad et al., 2022)
Exploring Group Dynamics… (Izhikevich et al., 2022)
Discussion leaders pick 2 NSF Proposals from the set provided on Canvas and notify class about which to read by January 23.
BlockyTalky (Kelly et al., 2018)
Theme: Athletics & Identity X Sensing and Machine Learning
Youth Learning Machine Learning through Building Models of Athletic Moves (Zimmermann-Niefield et al., 2019)
danceOn (Payne et al., 2021)
Go Hard (DesPortes et al., 2022)
Youth Experiences with Authentically Embedded Computer Science in Sport (Bodon et al., 2022)
Distributed by Design (White & Pea, 2011)
Modified Class Structure
Theme: Assorted Recent Work
When Stacks Don’t Stack Up (Clements & Krishnamurthi, 2022)
Understanding Spatial Skills and Encoding Strategies in Student Problem Solving Activities (Parkinson & Cutts, 2023)
Unsuccessful Code Comprehension (Lewis, 2023)
Theme: Design
Luminous Science (Finch et al., 2021)
Exploring Hypotheses About Media Computation (Guzdial, 2013)
Valuing Design (Shapiro et al., 2023)
Saving Face While Geeking Out (DiSalvo et al., 2014)
Additional in class activity: Final project brainstorming
Viewpoint, embodiment, and roles in STEM learning technologies (Lindgren & DeLiema, 2022)
Theme: Atypical Programming Tools
SiMSAM (Wilkerson et al., 2015)
Visual Storycoder (Dietz et al., 2023)
Bootstrap Algebra (Bootstrap Team, 2023)
Assessing Bootstrap: Algebra Students on Scaffolded and Unscaffolded Word Problems (Schanzer et al., 2018)
Theme: CS for All Really Means All
Preparing Special Education Preservice Teachers to Teach Computational Thinking and Computer Science in Mathematics (Bouck et al., 2021)
Emergent Bilingual Middle Schoolers’ Syncretic Reasoning in Statistical Modeling (Radke et al., 2022)
Modified Class Structure
Theme: Emotion
Using Electrodermal Activity Measurements to Understand Student Emotions While Programming (Gorson et al., 2022)
A Multi-dimensional Framework for Documenting Students’ Heterogeneous Experiences with Programming Bugs (DeLiema et al., 2022)
Dynamics of Emotion, Problem Solving, and Identity: Portraits of Three Girl Coders (DeLiema et al., 2023)
Learning to Feel Like a Scientist (Jaber and Hammer, 2016)
Note from Ben: I really strongly recommend this paper
Theme: Investigating Designs at Different Scales
Inventing Graphing (DiSessa et al., 1991)
Boys Needlework (Searle & Kafai, 2015)
Halving Fail Rates Using Peer Instruction (Porter et al., 2013)
The Recurring Rainfall Problem (Fisler, 2014)
How Rigorous is Active Learning Research in STEM Education? (Martella et al., 2023)
Theme: Race in/and the Computing Classroom
CS Teaching and Racial Identities in Interaction: A Case for Discourse Analytic Methods (Cheuoua, 2023)
Becoming Racially Literate About Data and Data-Literate About Race (Philip et al., 2016)
We Tell These Stories to Survive (Jones & melo, 2021)
The Rollout of Computer Science Education to Every Student in New York City (Holbert et al., 2020)
Read counterpart team’s draft proposal & write a detailed review
TBD: SIGCSE 2024 papers of note