Ryan Shaun Baker

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 20

Top Topics

Introductory Programming

Novice Programmers

Mathematics Learning

Affect Detection

Top Venues

Publications

Valdemar Svábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan Shaun Baker, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé, Atsushi Shimada
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students. CoRR (2024)
Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. ITiCSE (1) (2024)
Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. LAK (2024)
Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. ITiCSE (1) (2024)
Elizabeth B. Cloude, Jiayi Zhang, Ryan Shaun Baker, Eric Fouh
Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming. SIGCSE (1) (2024)
Andres Felipe Zambrano, Ryan Shaun Baker
Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. LAK (2024)
Maciej Pankiewicz, Ryan Shaun Baker
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. CoRR (2024)
Maciej Pankiewicz, Ryan Shaun Baker
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. ITiCSE (1) (2024)
Elizabeth B. Cloude, Pranshu Kumar, Ryan Shaun Baker, Eric Fouh
Novice programmers inaccurately monitor the quality of their work and their peers' work in an introductory computer science course. LAK (2024)
Maciej Pankiewicz, Ryan Shaun Baker
Large Language Models (GPT) for automating feedback on programming assignments. CoRR (2023)
Yan Tao, Olga Viberg, Ryan Shaun Baker, René F. Kizilcec
Auditing and Mitigating Cultural Bias in LLMs. CoRR (2023)
Conrad Borchers, Jiayi Zhang, Ryan Shaun Baker, Vincent Aleven
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. CoRR (2023)
Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker
Exploring Cross-Country Prediction Model Generalizability in MOOCs. L@S (2023)
Xiner Liu, Stefan Slater, Juliana Ma. Alexandra L. Andres, Luke Swanson, Jennifer Scianna, David Gagnon, Ryan Shaun Baker
Struggling to Detect Struggle in Students Playing a Science Exploration Game. CHI PLAY Companion (2023)
Elena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent. AIED (2023)
Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh
Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course. LAK (2023)
Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt
Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. AIED (Posters/Late Breaking Results/...) (2023)
Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Anam Ahmad Khan, Gregor E. Kennedy, James Bailey, Ryan Shaun Baker
How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment. Int. J. Artif. Intell. Educ. 32 (2) (2022)
Yeyu Wang, Shimin Kai, Ryan Shaun Baker
Early Detection of Wheel-Spinning in ASSISTments. AIED (1) (2020)
Elizabeth Rowe, Jodi Asbell-Clarke, Ryan Shaun Baker, Santiago Gasca, Erin Bardar, Richard Scruggs
Labeling Implicit Computational Thinking in Pizza Pass Gameplay. CHI Extended Abstracts (2018)
Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Neil T. Heffernan, Jaclyn Ocumpaugh
Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system? LAK (2015)
Luc Paquette, Ryan Shaun Baker, Adriana M. J. B. de Carvalho, Jaclyn Ocumpaugh
Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System. UMAP (2015)
William L. Miller, Ryan Shaun Baker, Matthew J. Labrum, Karen Petsche, Yu-Han Liu, Angela Z. Wagner
Automated detection of proactive remediation by teachers in reasoning mind classrooms. LAK (2015)
Nigel Bosch, Sidney K. D'Mello, Ryan Shaun Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, Weinan Zhao
Automatic Detection of Learning-Centered Affective States in the Wild. IUI (2015)
Rebecca Brown, Collin F. Lynch, Yuan Wang, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan Shaun Baker, Yoav Bergner, Danielle S. McNamara
Communities of Performance & Communities of Preference. EDM (Workshops) (2015)
Nigel Bosch, Huili Chen, Sidney K. D'Mello, Ryan Shaun Baker, Valerie J. Shute
Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild. ICMI (2015)
Gregory R. Moore, Ryan Shaun Baker, Sujith M. Gowda
The Antecedents of Moments of Learning. CogSci (2015)
Jaclyn Ocumpaugh, Ryan Shaun Baker, Sujith M. Gowda, Neil T. Heffernan, Cristina Heffernan
Population validity for educational data mining models: A case study in affect detection. Br. J. Educ. Technol. 45 (3) (2014)
Luc Paquette, Adriana M. J. B. de Carvalho, Ryan Shaun Baker
Towards Understanding Expert Coding of Student Disengagement in Online Learning. CogSci (2014)
Ryan Shaun Baker, Jaclyn Ocumpaugh, Sujith M. Gowda, Amy M. Kamarainen, Shari J. Metcalf
Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science. UMAP (2014)
Jaclyn Ocumpaugh, Ryan Shaun Baker, Amy M. Kamarainen, Shari J. Metcalf
Modifying Field Observation Methods on the Fly: Creative Metanarrative and Disgust in an Environmental MUVE. UMAP Workshops (2014)
Zhongxiu Liu, Visit Pataranutaporn, Jaclyn Ocumpaugh, Ryan Shaun Baker
Sequences of Frustration and Confusion, and Learning. EDM (2013)
Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Linda R. Kauffman, Aaron P. Mitchell, Ryan Shaun Baker
Enhancing Robust Learning Through Problem Solving in the Genetics Cognitive Tutor. CogSci (2013)
William J. Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker
Extending the Assistance Model: Analyzing the Use of Assistance over Time. EDM (2013)
Michael Sao Pedro, Ryan Shaun Baker, Janice D. Gobert
Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition. EDM (2013)
Arnon Hershkovitz, Ryan Shaun Baker, Sujith M. Gowda, Albert T. Corbett
Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning. EDM (2013)
Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Alex J. Bowers, Neil T. Heffernan
Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. EDM (2013)
Ma. Mercedes T. Rodrigo, Ryan Shaun Baker, Matthew C. Jadud, Anna Christine M. Amarra, Thomas Dy, Maria Beatriz V. Espejo-Lahoz, Sheryl Ann L. Lim, Sheila A. M. S. Pascua, Jessica O. Sugay, Emily S. Tabanao
Affective and behavioral predictors of novice programmer achievement. ITiCSE (2009)
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. User Modeling (2005)
Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Kenneth R. Koedinger
Do Performance Goals Lead Students to Game the System? AIED (2005)
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. User Modeling (2005)
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. Intelligent Tutoring Systems (2004)
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger
What Goals Do Students Have When Choosing the Actions They Perform? ICCM (2004)
Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steve Ritter
Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. Intelligent Tutoring Systems (2004)
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger
Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases. ICLS (2004)
Ryan Shaun Baker, Angela Z. Wagner, Albert T. Corbett, Kenneth R. Koedinger
The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems. Intelligent Tutoring Systems (2004)
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger
Detecting Student Misuse of Intelligent Tutoring Systems. Intelligent Tutoring Systems (2004)
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner
Off-task behavior in the cognitive tutor classroom: when students "game the system". CHI (2004)
Laura Dabbish, Ryan Shaun Baker
Administrative assistants as interruption mediators. CHI Extended Abstracts (2003)
Ryan Shaun Baker, Michael Boilen, Michael T. Goodrich, Roberto Tamassia, B. Aaron Stibel
Testers and visualizers for teaching data structures. SIGCSE (1999)