Ryan Shaun Baker

57 papers A* 1A 13B 16C 2Journal 9Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs. LAK Alexander Scarlatos, Ryan Shaun Baker, Andrew S. Lan
2025	—	`ed.`	Joint Proceedings of LAK 2025 Workshops co-located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025), Dublin, Ireland, March 3-4, 2025. LAK Workshops Martin Hlosta, Ivan Moser, Amir Winer, Nitza Geri, Birte Heinemann, Sergej Görzen, Umesh Ramnarain, Christo van der Westhuizen, Mafor Penn, Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge, Brendan Flanagan, Owen H. T. Lu, Atsushi Shimada, Namrata Srivastava, Albert C. M. Yang, Hsiao-Ting Tseng, Fumiya Okubo, Eduardo Davalos Anaya, Hiroaki Ogata, Riordan Alfredo, Simon Buckingham Shum, Mutlu Cukurova, Yannis A. Dimitriadis, Charles Lang, Roberto Martínez-Maldonado, Patricia Santos, Olga Viberg, Andy Nguyen, Sanna Järvelä, Carolyn P. Rosé, Alyssa Wise, Michail Giannakos, Kshitij Sharma, Luna Huynh, Amanda Barany, Ryan Shaun Baker, Jionghao Lin, Andrew Katz, Maurice Boothe Jr., Xavier Ochoa, David J. Gagnon, Luke Swanson, Erik Harpstead
2025	J	`jnl`	The Coming but Uneven Storm: How AI Regulation Will Impact AI and Learning Analytics Research in Different Countries. J. Learn. Anal. Rogers Kaliisa, Ryan Shaun Baker, Barbara Wasson, Paul Prinsloo
2025	J	`jnl`	The Quick Red Fox gets the best Data Driven Classroom Interviews: A manual for an interview app and its associated methodology. CoRR Jaclyn Ocumpaugh, Luc Paquette, Ryan Shaun Baker, Amanda Barany, Jeff Ginger, Nathan Casano, Andres Felipe Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Qianhui Liu, Stephen Hutt, Alexandra M. A. Andres, Nidhi Nasiar, Camille Giordano, Martin Van Velsen, Micheal Mogessi
2024	—	`conf`	Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. ITiCSE (1) Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh
2024	C	`conf`	Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments. FIE Valdemar Svábenský, Kristián Tkácik, Aubrey Birdwell, Richard Weiss, Ryan Shaun Baker, Pavel Celeda, Jan Vykopal, Jens Mache, Ankur Chattopadhyay
2024	J	`jnl`	Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students. CoRR Valdemar Svábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan Shaun Baker, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé, Atsushi Shimada
2024	A	`conf`	Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. LAK Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills
2024	A	`conf`	Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. LAK Andres Felipe Zambrano, Ryan Shaun Baker
2024	—	`conf`	Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. ITiCSE (1) Maciej Pankiewicz, Ryan Shaun Baker
2024	J	`jnl`	Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. CoRR Maciej Pankiewicz, Ryan Shaun Baker
2024	A	`conf`	Novice programmers inaccurately monitor the quality of their work and their peers' work in an introductory computer science course. LAK Elizabeth B. Cloude, Pranshu Kumar, Ryan Shaun Baker, Eric Fouh
2024	B	`conf`	Open Science and Educational Data Mining: Which Practices Matter Most? EDM Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills
2024	—	`conf`	Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. ITiCSE (1) Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker
2024	—	`conf`	Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming. SIGCSE (1) Elizabeth B. Cloude, Jiayi Zhang, Ryan Shaun Baker, Eric Fouh
2023	J	`jnl`	Auditing and Mitigating Cultural Bias in LLMs. CoRR Yan Tao, Olga Viberg, Ryan Shaun Baker, René F. Kizilcec
2023	B	`conf`	Exploring Cross-Country Prediction Model Generalizability in MOOCs. L@S Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker
2023	A	`conf`	Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent. AIED Elena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh
2023	J	`jnl`	Large Language Models (GPT) for automating feedback on programming assignments. CoRR Maciej Pankiewicz, Ryan Shaun Baker
2023	—	`conf`	Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. AIED (Posters/Late Breaking Results/...) Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt
2023	A	`conf`	Online help-seeking occurring in multiple computer-mediated conversations affects grades in an introductory programming course. LAK Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh
2023	—	`conf`	Struggling to Detect Struggle in Students Playing a Science Exploration Game. CHI PLAY (Companion) Xiner Liu, Stefan Slater, Juliana Ma. Alexandra L. Andres, Luke Swanson, Jennifer Scianna, David J. Gagnon, Ryan Shaun Baker
2023	J	`jnl`	Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. CoRR Conrad Borchers, Jiayi Zhang, Ryan Shaun Baker, Vincent Aleven
2022	J	`jnl`	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. Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Anam Ahmad Khan, Gregor E. Kennedy, James Bailey, Ryan Shaun Baker
2020	—	`conf`	Early Detection of Wheel-Spinning in ASSISTments. AIED (1) Yeyu Wang, Shimin Kai, Ryan Shaun Baker
2018	—	`conf`	Labeling Implicit Computational Thinking in Pizza Pass Gameplay. CHI Extended Abstracts Elizabeth Rowe, Jodi Asbell-Clarke, Ryan Shaun Baker, Santiago Gasca, Erin Bardar, Richard Scruggs
2015	B	`conf`	Accuracy vs. Availability Heuristic in Multimodal Affect Detection in the Wild. ICMI Nigel Bosch, Huili Chen, Sidney K. D'Mello, Ryan Shaun Baker, Valerie J. Shute
2015	C	`conf`	An investigation of eureka and the affective states surrounding eureka moments. ICCE Juliana Ma. Alexandra L. Andres, Juan Miguel L. Andres, Ma. Mercedes T. Rodrigo, Ryan Shaun Baker, Joseph Barbosa Beck
2015	A	`conf`	Automated detection of proactive remediation by teachers in reasoning mind classrooms. LAK William L. Miller, Ryan Shaun Baker, Matthew J. Labrum, Karen Petsche, Yu-Han Liu, Angela Z. Wagner
2015	A	`conf`	Automatic Detection of Learning-Centered Affective States in the Wild. IUI Nigel Bosch, Sidney K. D'Mello, Ryan Shaun Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, Weinan Zhao
2015	—	`conf`	Communities of Performance & Communities of Preference. EDM (Workshops) Rebecca Brown, Collin F. Lynch, Yuan Wang, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan Shaun Baker, Yoav Bergner, Danielle S. McNamara
2015	A	`conf`	Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System. UMAP Luc Paquette, Ryan Shaun Baker, Adriana M. J. B. de Carvalho, Jaclyn Ocumpaugh
2015	A	`conf`	Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system? LAK Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Neil T. Heffernan, Jaclyn Ocumpaugh
2015	B	`conf`	The Antecedents of Moments of Learning. CogSci Gregory R. Moore, Ryan Shaun Baker, Sujith M. Gowda
2014	A	`conf`	Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science. UMAP Ryan Shaun Baker, Jaclyn Ocumpaugh, Sujith M. Gowda, Amy M. Kamarainen, Shari J. Metcalf
2014	—	`conf`	Modifying Field Observation Methods on the Fly: Creative Metanarrative and Disgust in an Environmental MUVE. UMAP Workshops Jaclyn Ocumpaugh, Ryan Shaun Baker, Amy M. Kamarainen, Shari J. Metcalf
2014	J	`jnl`	Population validity for educational data mining models: A case study in affect detection. Br. J. Educ. Technol. Jaclyn Ocumpaugh, Ryan Shaun Baker, Sujith M. Gowda, Neil T. Heffernan, Cristina Heffernan
2014	B	`conf`	Towards Understanding Expert Coding of Student Disengagement in Online Learning. CogSci Luc Paquette, Adriana M. J. B. de Carvalho, Ryan Shaun Baker
2013	B	`conf`	Enhancing Robust Learning Through Problem Solving in the Genetics Cognitive Tutor. CogSci Albert T. Corbett, Benjamin A. MacLaren, Angela Z. Wagner, Linda R. Kauffman, Aaron P. Mitchell, Ryan Shaun Baker
2013	B	`conf`	Extending the Assistance Model: Analyzing the Use of Assistance over Time. EDM William Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker
2013	B	`conf`	Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition. EDM Michael Sao Pedro, Ryan Shaun Baker, Janice D. Gobert
2013	B	`conf`	Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. EDM Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Alex J. Bowers, Neil T. Heffernan
2013	B	`conf`	Predicting Future Learning Better Using Quantitative Analysis of Moment-by-Moment Learning. EDM Arnon Hershkovitz, Ryan Shaun Baker, Sujith M. Gowda, Albert T. Corbett
2013	B	`conf`	Sequences of Frustration and Confusion, and Learning. EDM Zhongxiu Liu, Visit Pataranutaporn, Jaclyn Ocumpaugh, Ryan Shaun Baker
2009	B	`conf`	Affective and behavioral predictors of novice programmer achievement. ITiCSE 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
2005	—	`conf`	Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. User Modeling Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll
2005	A	`conf`	Do Performance Goals Lead Students to Game the System? AIED Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Kenneth R. Koedinger
2005	—	`conf`	Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. User Modeling Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger
2004	B	`conf`	A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. Intelligent Tutoring Systems Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger
2004	B	`conf`	Detecting Student Misuse of Intelligent Tutoring Systems. Intelligent Tutoring Systems Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger
2004	—	`conf`	Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases. ICLS Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger
2004	A*	`conf`	Off-task behavior in the cognitive tutor classroom: when students "game the system". CHI Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner
2004	B	`conf`	The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems. Intelligent Tutoring Systems Ryan Shaun Baker, Angela Z. Wagner, Albert T. Corbett, Kenneth R. Koedinger
2004	—	`conf`	What Goals Do Students Have When Choosing the Actions They Perform? ICCM Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger
2004	B	`conf`	Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. Intelligent Tutoring Systems Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steven Ritter
2003	—	`conf`	Administrative assistants as interruption mediators. CHI Extended Abstracts Laura Dabbish, Ryan Shaun Baker
1999	A	`conf`	Testers and visualizers for teaching data structures. SIGCSE Ryan Shaun Baker, Michael Boilen, Michael T. Goodrich, Roberto Tamassia, B. Aaron Stibel