| Gaming and confrustion explain learning advantages for a math digital learning game JE Richey, J Zhang, R Das, JM Andres-Bray, R Scruggs, M Mogessie, ... 🏅International conference on artificial intelligence in education, 342-355, 2021 | 30 | 2021 |
| Exploring the impact of voluntary practice and procrastination in an introductory programming course J Zhang, T Cunningham, R Iyer, R Baker, E Fouh Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022 | 9 | 2022 |
| Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. J Zhang, JMAL Andres, S Hutt, RS Baker, J Ocumpaugh, C Mills, J Brooks, ... 🏅International Educational Data Mining Society, 2022 | 6 | 2022 |
| Using machine learning to detect SMART model cognitive operations in mathematical problem-solving process J Zhang, JMAL Andres, S Hutt, RS Baker, J Ocumpaugh, N Nasiar, C Mills, ... Journal of Educational Data Mining 14 (3), 76-108, 2022 | 4 | 2022 |
| Knowledge tracing models’ predictive performance when a student starts a skill J Zhang, R Das, R Baker, R Scruggs 🏅Proceedings of the 14th International Conference on Educational Data Mining …, 2021 | 4 | 2021 |
| Investigating student interest and engagement in game-based learning environments J Zhang, S Hutt, J Ocumpaugh, N Henderson, A Goslen, JP Rowe, ... International Conference on Artificial Intelligence in Education, 711-716, 2022 | 3 | 2022 |
| Modeling problem-solving strategy invention (PSSI) behavior in an online math environment N Nasiar, RS Baker, Y Zou, J Zhang, S Hutt International Conference on Artificial Intelligence in Education, 453-459, 2023 | 1 | 2023 |
| Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis A Goslen, N Henderson, J Rowe, J Zhang, S Hutt, J Ocumpaugh, E Wiebe, ... International Conference on Artificial Intelligence in Education, 681-687, 2023 | 1 | 2023 |
| Anxiety, achievement, and self-regulated learning in CueThink JM Andres, RS Baker, SJ Hutt, C Mills, J Zhang, S Rhodes, A DePiro Proceedings of the 17th International Conference of the Learning Sciences …, 2023 | 1 | 2023 |
| Automated Multi-Dimensional Analysis of Peer Feedback in Middle School Mathematics J Zhang, RS Baker, JM Andres, S Hutt, S Sethuraman Proceedings of the 16th International Conference on Computer-Supported …, 2023 | 1 | 2023 |
| Understanding detectors for SMART model cognitive operation in mathematical problem-solving process: an epistemic network analysis M Wu, J Zhang, A Barany International Conference on Quantitative Ethnography, 314-327, 2022 | 1 | 2022 |
| Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades V Švábenský, M Pankiewicz, J Zhang, EB Cloude, RS Baker, E Fouh arXiv preprint arXiv:2404.05988, 2024 | | 2024 |
| Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors AF Zambrano, J Zhang, RS Baker Proceedings of the 14th Learning Analytics and Knowledge Conference, 349-359, 2024 | | 2024 |
| Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems C Borchers, J Zhang, RS Baker, V Aleven Proceedings of the 14th Learning Analytics and Knowledge Conference, 529-539, 2024 | | 2024 |
| Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming EB Cloude, J Zhang, RS Baker, E Fouh Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
| No Benefit for High-Dosage Time Management Interventions in Online Courses J Zhang, RS Baker, T Farmer Proceedings of the Tenth ACM Conference on Learning@ Scale, 302-305, 2023 | | 2023 |
| Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. S Karumbaiah, J Zhang, RS Baker, R Scruggs, W Cade, M Clements, ... International Educational Data Mining Society, 2022 | | 2022 |
| A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem. R Das, J Zhang, RS Baker, R Scruggs EDM (Workshops), 2021 | | 2021 |
| A Less Overconservative Method for Reliability Estimation for Cohen’s Kappa: Extended Version M He, R Baker, S Hutt, J Zhang | | |
| Leveraging Natural Language Processing to Detect Gaming the System in Open-ended Questions in a Math Digital Learning Game J Zhang, A Andres, R Baker, EB Cloude | | |
Ryan BakerUniversity of PennsylvaniaVerified email at upenn.edu
