Jiayi Zhang

According to our database, Jiayi Zhang authored at least 34 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning.

Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, T. S. Ashwin, Naveeduddin Mohammed, Hae Young Noh, Gautam Biswas

CoRR, January, 2026

A Large Scale Randomized Control Trial Showing LLM Generated Feedback Helps Low-Knowledge Middle School Math Students with Short-Term Learning.

Eamon Worden, Luca Dang, Wen-Chiang Ivan Lim, Sarah Miller, Jiayi Zhang, Aaron Haim, Adam Sales, Ashish Gurung, Neil T. Heffernan

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Understanding Gaming the System by Analyzing Self-Regulated Learning in Think-Aloud Protocols.

Jiayi Zhang, Conrad Borchers, Canwen Wang, Vishal Kumar, Leah Teffera, Bruce M. McLaren, Ryan S. Baker

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning.

Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, Ashwin T. S., Naveeduddin Mohammed, Haley Noh, Gautam Biswas

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

Practice as the Key to Success: Understanding the Role of Prior Knowledge, Affective States and Learning Resources in Computer Science Education.

Andres Felipe Zambrano, Jiayi Zhang, Maciej Pankiewicz, Ryan S. Baker

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

What Children's AI Literacy Books Teach: A Content Analysis Using the AI4K12 Framework.

Feiwen Xiao, Jiayi Zhang, Andres Felipe Zambrano, Shiyan Jiang

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

Short, Long, or Affective: Evaluating LLM-Generated Feedback Styles for Student Learning.

Eamon Worden, Morgan P. Lee, Abubakir Siedahmed, Adam Sales, Jiayi Zhang, Roee Shraga, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System.

Xiaoshan Huang, Conrad Borchers, Jiayi Zhang, Susanne P. Lajoie

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

To Use or Not to Use: Investigating Student Perceptions of Faculty Generative AI Usage in Higher Education.

Jie Gao, Jiayi Zhang, Dan Chen

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding.

Conrad Borchers, Jiayi Zhang, Ashish Gurung

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

Carelessness Detection using Performance Factor Analysis: A New Operationalization with Unexpectedly Different Relationship to Learning.

Jiayi Zhang, Ryan S. Baker, Namrata Srivastava, Jaclyn Ocumpaugh, Caitlin Mills, Bruce M. McLaren

CoRR, March, 2025

Qualitative Coding with GPT-4: Where it Works Better.

Xiner Liu, Andres Felipe Zambrano, Ryan S. Baker, Amanda Barany, Jaclyn Ocumpaugh, Jiayi Zhang, Maciej Pankiewicz, Nidhi Nasiar, Zhanlan Wei

J. Learn. Anal., 2025

How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson.

Jiayi Zhang, Kirk Vanacore, Ryan S. Baker, Nabil Ch, Caitlin Mills, Owen Henkel

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Integrating Large Language Models and Machine Learning to Detect Struggle in Educational Games.

Xiner Liu, Zhanlan Wei, Ryan S. Baker, Shari J. Metcalf, Jiayi Zhang, Amanda Barany, Stefan Slater, Luke Swanson, David J. Gagnon

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

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, Suyi Liu, Elana Zion-Golumbic

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming.

Elizabeth B. Cloude, Jiayi Zhang, Ryan Shaun Baker, Eric Fouh

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors.

Andres Felipe Zambrano, Jiayi Zhang, Ryan S. Baker

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems.

Conrad Borchers, Jiayi Zhang, Ryan S. Baker, Vincent Aleven

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades.

Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 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, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols.

Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks.

Conrad Borchers, Xinman Liu, Hakeoung Hannah Lee, Jiayi Zhang

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

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, Shruti Mehta, Jaeyoon Choi, Camille Giordano, Ryan S. Baker

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

No Benefit for High-Dosage Time Management Interventions in Online Courses.

Jiayi Zhang, Ryan S. Baker, Thomas A. Farmer

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Modeling Problem-Solving Strategy Invention (PSSI) Behavior in an Online Math Environment.

Nidhi Nasiar, Ryan Shaun Baker, Yishan Zou, Jiayi Zhang, Stephen Hutt

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis.

Alex Goslen, Nathan L. Henderson, Jonathan P. Rowe, Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Eric N. Wiebe, Kristy Elizabeth Boyer, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Exploring the Impact of Voluntary Practice and Procrastination in an Introductory Programming Course.

Jiayi Zhang, Taylor Cunningham, Rashmi Iyer, Ryan Baker, Eric Fouh

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Understanding Detectors for SMART Model Cognitive Operation in Mathematical Problem-Solving Process: An Epistemic Network Analysis.

Mengqian Wu, Jiayi Zhang, Amanda Barany

Proceedings of the Advances in Quantitative Ethnography - 4th International Conference, 2022

Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags.

Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process.

Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Investigating Student Interest and Engagement in Game-Based Learning Environments.

Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Nathan L. Henderson, Alex Goslen, Jonathan P. Rowe, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance.

Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs

Proceedings of the 14th International Conference on Educational Data Mining, 2021

A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem.

Rohini Das, Jiayi Zhang, Ryan S. Baker, Richard Scruggs

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game.

J. Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs, Michael Mogessie Ashenafi, Ryan S. Baker, Bruce M. McLaren

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021