Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game. - J. Elizabeth Richey; Jiayi Zhang 004; Rohini Das; Juan Miguel L. Andres-Bray; Richard Scruggs; Michael Mogessie Ashenafi; Ryan S. Baker 001; Bruce M. McLaren (AIED (1), 2021)

A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem. - Rohini Das; Jiayi Zhang 004; Ryan S. Baker 001; Richard Scruggs (EDM (Workshops), 2021)

The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. - Jiayi Zhang 004; Rohini Das; Ryan S. Baker 001; Richard Scruggs (EDM, 2021)

Investigating Student Interest and Engagement in Game-Based Learning Environments. - Jiayi Zhang 004; Stephen Hutt; Jaclyn Ocumpaugh; Nathan L. Henderson; Alex Goslen; Jonathan P. Rowe; Kristy Elizabeth Boyer; Eric N. Wiebe; Bradford W. Mott; James C. Lester (AIED (1), 2022)

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. - Jiayi Zhang 004; Juliana Ma. Alexandra L. Andres; Stephen Hutt; Ryan S. Baker 001; Jaclyn Ocumpaugh; Caitlin Mills 001; Jamiella Brooks; Sheela Sethuraman; Tyron Young (EDM, 2022)

Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. - Shamya Karumbaiah; Jiayi Zhang 004; Ryan Baker 001; Richard Scruggs; Whitney L. Cade; Margaret Clements; Shuqiong Lin (EDM, 2022)

Understanding Detectors for SMART Model Cognitive Operation in Mathematical Problem-Solving Process: An Epistemic Network Analysis. - Mengqian Wu; Jiayi Zhang 004; Amanda Barany (ICQE, 2022)

Exploring the Impact of Voluntary Practice and Procrastination in an Introductory Programming Course. - Jiayi Zhang 004; Taylor Cunningham; Rashmi Iyer; Ryan Baker 001; Eric Fouh (SIGCSE (1), 2022)

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis. - Alex Goslen; Nathan L. Henderson; Jonathan P. Rowe; Jiayi Zhang 004; Stephen Hutt; Jaclyn Ocumpaugh; Eric N. Wiebe; Kristy Elizabeth Boyer; Bradford W. Mott; James C. Lester (AIED (Posters/Late Breaking Results/...), 2023)

Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment. - Nidhi Nasiar; Ryan Shaun Baker; Yishan Zou; Jiayi Zhang 004; Stephen Hutt (AIED (Posters/Late Breaking Results/...), 2023)

No Benefit for High-Dosage Time Management Interventions in Online Courses. - Jiayi Zhang 004; Ryan S. Baker 001; Thomas A. Farmer (L@S, 2023)

ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development. - Amanda Barany; Nidhi Nasiar; Chelsea Porter; Andres Felipe Zambrano; Juliana Ma. Alexandra L. Andres; Dara Bright; Mamta Shah; Xiner Liu; Sabrina Gao; Jiayi Zhang 004; Shruti Mehta; Jaeyoon Choi; et al. (AIED (2), 2024)

Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks. - Conrad Borchers; Xinman Liu; Hakeoung Hannah Lee; Jiayi Zhang 004 (AIED Companion (1), 2024)

Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols. - Jiayi Zhang 004; Conrad Borchers; Vincent Aleven; Ryan S. Baker 001 (EDM, 2024)

Says Who? How different ground truth measures of emotion impact student affective modeling. - Andres Felipe Zambrano; Nidhi Nasiar; Jaclyn Ocumpaugh; Alex Goslen; Jiayi Zhang 004; Jonathan P. Rowe; Jordan Esiason; Jessica Vandenberg; Stephen Hutt (EDM, 2024)

Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. - Valdemar Svábenský; Maciej Pankiewicz; Jiayi Zhang 004; Elizabeth B. Cloude; Ryan Shaun Baker; Eric Fouh (ITiCSE (1), 2024)

Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. - Conrad Borchers; Jiayi Zhang 004; Ryan S. Baker 001; Vincent Aleven (LAK, 2024)

Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors. - Andres Felipe Zambrano; Jiayi Zhang 004; Ryan S. Baker 001 (LAK, 2024)

Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming. - Elizabeth B. Cloude; Jiayi Zhang 004; Ryan Shaun Baker; Eric Fouh (SIGCSE (1), 2024)

Utilizing Log-Based and Neurophysiological Measures to Understand Engagement and Learning with Intelligent Tutoring Systems. - Yushuang Liu; Ido Davidesco; Bruce M. McLaren; J. Elizabeth Richey; Xiaorui Xue; Leah Teffera; Hayden Stec; Hyosun Lee; Jiayi Zhang 004; Suyi Liu; Elana Zion-Golumbic (AIED (5), 2025)

Integrating Large Language Models and Machine Learning to Detect Struggle in Educational Games. - Xiner Liu; Zhanlan Wei; Ryan S. Baker 001; Shari J. Metcalf; Jiayi Zhang 004; Amanda Barany; Stefan Slater; Luke Swanson; David J. Gagnon (AIED (5), 2025)

How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson. - Jiayi Zhang 004; Kirk Vanacore; Ryan S. Baker 001; Nabil Ch; Caitlin Mills 001; Owen Henkel (EDM, 2025)

Qualitative Coding with GPT-4: Where it Works Better. - Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker 001; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang 004; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei (J. Learn. Anal., 2025)

Carelessness Detection using Performance Factor Analysis: A New Operationalization with Unexpectedly Different Relationship to Learning. - Jiayi Zhang 004; Ryan S. Baker 001; Namrata Srivastava; Jaclyn Ocumpaugh; Caitlin Mills 001; Bruce M. McLaren (CoRR, 2025)