Jiayi Zhang

According to our database, Jiayi Zhang authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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