{"id":820,"date":"2024-07-13T03:16:16","date_gmt":"2024-07-13T03:16:16","guid":{"rendered":"https:\/\/educationaldatamining.org\/edm2024\/?page_id=820"},"modified":"2024-07-15T14:49:28","modified_gmt":"2024-07-15T14:49:28","slug":"sessions","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2024\/sessions\/","title":{"rendered":"Sessions"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Affective Computing<\/h3>\n\n\n\n<p>Monday, July 15, 11:00-12:30<br>Room 222<br>Session Chair: Jacob Whitehill<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>162 Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan Rowe, Jordan Esiason, Jessica Vandenberg and Stephen Hutt Says Who? How different ground truth measures of emotion impact student affective modeling (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.18\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2Gd32sX-7RUa8n-cl_dBnV\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>JEDM-6 Kirk Vanacore, Ashish Gurung, Adam Sales, Neil Heffernan Effect of Gamification on Gamers: Evaluating Interventions for Students Who Game the System (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/768&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw16F07ekQFv39Y9_3JGsY4F\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>170 Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil Heffernan and Andrew Lan From Reaction to Anticipation: Predicting Future Affect86 Bledar Fazlija Feeling the Difficulty of Mathematics (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.58\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2ddNJoyrNOHxXMddfACNGe\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>132 Celestine Akpanoko, Ashwin T S, Grayson Cordell and Gautam Biswas Investigating the relations between students\u2019 affective states and the coherence in their activities in Open-Ended Learning Environments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.51\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0jhAM-E_ZKsgBhANtvf24Q\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>164* Robin Jephthah Rajarathinam, Christian Palaguachi and Jina Kang Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Feature Capture Using Traditional vs 360-Degree Cameras in Collaborative Learning (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D-4-qjcrAGLg&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0NpcV3-PdTnxofzhtiB2Qv\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.56\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2M7K9HZr2kuXm2EpAEkcvb\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Large language models in education (A)<\/h3>\n\n\n\n<p>Monday, July 15, 11:00-12:30<br>Room 236<br>Session Chair: Stephen Hutt<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>123* David Joyner, Zoey Anne Beda, Michael Cohen, Melanie Duffin, Amy Garcia Fernandez, Liz Hayes-Golding, Rebecca Johnson, Jonathan Hildreth, Alex Houk, Kayla Matchek and Ana Santos When Chatting Isn&#8217;t Cheating: Mining and Evaluating Student Use of Chatbots and Other Resources During Open-Internet Exams (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.12\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2PrUaVtFfK8u5T88piuV3x\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>69 Fernando Martinez, Gary Weiss, Miguel Palma, Haoran Xue, Alexander Borelli and Yijun Zhao GPT vs. Llama2: Which Comes Closer to Human Writing? (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D9IZ-ln4Ay_c&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3Zoyt9KGcnRmn4bGaO7laL\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.9\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3JZixBbSJ80HSaa987Bftb\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>194 Jionghao Lin, Eason Chen, Feifei Han, Ashish Gurung, Danielle R Thomas, Wei Tan, Ngoc Dang Nguyen and Kenneth Koedinger <\/em><em>How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses <\/em><em>(<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DJ4obD2ErHBw&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw27MJz-Slwllxbm1qocAG6C\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.20\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0BjcY1GGf7VCI1ISOjJLDK\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em>157 Hongming Li, Seiyon Lee and Anthony F. Botelho This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DpLrmeKJfOp8&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0pTjjZnBxc_h8iVnsMtui9\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.55\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw03HvL00Pw-3ZYzWq5exg6i\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>88 Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, Parvez Rashid and Edward Gehringer Generative AI for Peer Assessment Helpfulness Evaluation (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.39\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0ckxuEs2ZdxDDOV4eEX7dj\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Large language models in education (B)<\/h3>\n\n\n\n<p>Monday, July 15, 13:30-15:30<br>Room 236<br>Session Chair: Scott Crossley<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>JEDM-2 Jacob Whitehill, Jennifer LoCasale-Crouch Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/757&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1vLJIhZTg2ucCrFPrjYBu4\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>52 Joy He-Yueya, Noah Goodman and Emma Brunskill Evaluating and Optimizing Educational Content with Large Language Model Judgments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DxTjv-Azvgfo&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1eoonYpkLoXi4gZVMwZR0s\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.6\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2bZdc6X3V8NSgQ7iL-cqA9\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>129 Qinjin Jia, Jialin Cui, Ruijie Xi, Haoze Du, Chengyuan Liu, Parvez Rashid, Ruochi Li and Edward Gehringer On Assessing the Faithfulness of System-generated Feedback on Student Assignments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DVxAMl266bl4&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1bcaCvzTpmhNItwGoD_Udv\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.49\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw21p0wSPIc7b-edG2usGIaW\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>51* Owen Henkel, Zach Levonian, Chenglu Li and Millie Postle Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D8XDE0yxiCwY&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0WVo1UTh30KkhiG5y2XzBo\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.28\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw04P1bVHmHax0lXbMDHR6sl\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li><em>15* Bilal Ghanem and Alona Fyshe DISTO: Evaluating Textual Distractors for Multiple Choice Questions using a Negative Sampling based Approach (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D8wVe9kyYo1k&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw03PypkZQk4P7fkDqc0grZd\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.1\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw128D9QneNx-FTWNHmchZMa\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>166* Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter and Ryan S. Baker De-Identifying Student Personally Identifying Information with GPT-4 (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.57\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0l1721Nfs9DWEMWcBJEBud\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li><em>134 Jiayi Zhang, Conrad Borchers, Vincent Aleven and Ryan S. Baker Using Large Language Models to Detect Self-regulated Learning in Think-aloud Protocols (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.13\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1M3RyTP6MBSeJB3azN3zxP\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Learning analytics and recommender systems<\/h3>\n\n\n\n<p>Monday, July 15, 13:30-15:30<br>Room 222<br>Session Chair: Atsushi Shimada<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>151* Benny Johnson, Jeff Dittel and Rachel Van Campenhout Investigating Student Ratings with Features of Automatically Generated Questions: A Large-Scale Analysis using Data from Natural Learning Contexts<\/em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.16\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0bDCmmBizvLSc54o1wR0Hu\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>98* Conrad Borchers, Yinuo Xu and Zachary A. Pardos Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education<em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DAYhSO1D8MZs&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw27-xZFAcNj1YwSZeFKhBin\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.41\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3xQ0XeEjbO5gsgT4a0Xypq\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>JEDM-5 Md Akib Zabed Khan, Agoritsa Polyzou Session-based Methods for Course Recommendation (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/772&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0byj6zs4f8KfjjkxwOGX_E\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>109 Ayaz Karimov, Mirka Saarela, Tommi K\u00e4rkk\u00e4inen and Sabina Aghayeva Principals&#8217; use of data analytics in Finnish schools (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DWxUnasZIo04&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2KxxqxXLWNUZKFHUgYYrJ6\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.44\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3joBiVl1FH5zL_-CcK4Dmi\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>85 Yiqiu Zhou and Luc Paquette Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D7InkfqN_VYA&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1592w589JYrlEO5SCZ50nk\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.37\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2c_t5F2jYe23ni6XoiS3Az\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>176 Paras Sharma, Angela E.B. Stewart, Qichang Li, Krit Ravichander and Erin Walker Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.60\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0mfF2QFerwWnUL7PB_H_Fi\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>77 Wenhao Wang, Fuzheng Zhao, Etsuko Kumamoto and Chengjiu Yin A page jump recommendation model and result interpretation based on structured annotation methods (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D3k5z5La16Zg&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0wMtTUJ5h4H0y4aXapVlNJ\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.34\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw061WZStfiKuhVowhsofyCh\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Poster Session A<\/h3>\n\n\n\n<p>Monday, July 15, 16:30-18:00<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>12 &nbsp; &nbsp;Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.66\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0SfkXU4TPx3pFwwcy2i_H6\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>24 &nbsp; &nbsp;Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.68\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0926IWF7NQX3FDbjMM2YHg\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>30 &nbsp; &nbsp;Uncovering the Evolution of Topics about AI Painting: Dynamic Topic Modeling of 180k Discourse Data in an Online Community (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.71\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3tg_SvIQRdY6NvbA4EiwKB\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>41 &nbsp; &nbsp;Tracking Classroom Movement Patterns with Person Re-Id (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.72\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0fTfUCHdAgKq-zMhFwKXEY\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>49 &nbsp; &nbsp;Fair Prediction of Students&#8217; Summative Performance Changes Using Online Learning Behavior Data (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.73\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1SAPvKwai0mpf-2Ji0JYOM\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>55 &nbsp; Automated Scoring of Learners&#8217; Annotations of Multiple Digital Texts (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.74\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3JU82POCvQqCHNK_3xu5Pm\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>70 &nbsp; &nbsp;Navigating the Sky Together: Investigating Collaboration Dynamics through Annotation in an Immersive Learning Environment (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.76\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3IcxRRv1RKyoG4VXh7PQVN\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>89 &nbsp; &nbsp;Relation of Linguistic Indicators to Civic Engagement in Special Education (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.79\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3zhxrE0yWSFTCKQi4Sls5g\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>94 &nbsp; &nbsp;Automated Assessment in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.80\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw27VqfUHASYdqxbh03I5Qxk\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>105 &nbsp; &nbsp;Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.82\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0QBytUM8cnDwjfxAfohmMS\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>110 &nbsp; &nbsp;Prioritizing the Indicators of Effective Inclusive Education Assessment Framework using TOPSIS Analysis for children with Disabilities: A Case of Delhi (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.83\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3lj4oQyQN3SKwlYqBgwN_B\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>122 &nbsp; &nbsp;Towards Modeling Learner Performance with Large Language Models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.84\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw39XsMFd5egB8RdrXruAxFa\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>127 &nbsp; &nbsp;Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.85\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw19uTLWFVbd-CV6vXPy97Rb\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>135 &nbsp; &nbsp;Be back in 5 minutes: Exploring correlations between short breaks with student performance (<a href=\"https:\/\/www.youtube.com\/watch?v=xZE2fi0sN3s\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.86\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1V80L7kWVfPj_HAqIEmtMa\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>141 &nbsp; &nbsp;Predicting Cognitive Load Using Sensor Data in a Literacy Game (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.87\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3q63E0KXXR_y2sndMGJk0b\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>200 &nbsp; &nbsp;Same Learning Platform, Different Types of Research: A National-Level Analysis (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.92\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3M9pvftcG_Jg8nZTNQt1e9\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>213 &nbsp; &nbsp;Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.95\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1QN2fxHOtyt0Vb8M_N4xRG\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>237 &nbsp; &nbsp;Identifying Off-Task Users in a Large-Scale, Game-Based Practice Assessment (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.96\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw18X0ZfH5YHVAVU6ibtg0Ls\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>243 &nbsp; &nbsp;Easing the Prediction of Student Dropout for everyone by integrating AutoML and Explainable Artificial Intelligence (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.98\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3tNEazBVkkY1hWYJT37Jwz\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>245 &nbsp; &nbsp;LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.99\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1ZqPVX4bXk-7q0Aud6_yF6\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>259 &nbsp; &nbsp;Complex Conversations: LLMs vs. Knowledge Engineered Conversation-based Assessment (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.100\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0tk43XsNPT_5VLKJcwVT64\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>261 &nbsp; &nbsp;Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.101\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw24dx8Kzmne9-zQZNKF2SMk\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>264 &nbsp; &nbsp;Tailored analysis of dropout in UBA distance postgraduate courses: first results (<a href=\"https:\/\/www.youtube.com\/watch?v=tzEbNAYh9JM\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.103\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1z8iSp8IwZpXHguBFwJokQ\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>266 &nbsp; &nbsp;Explainability in Educational Data Mining and Learning Analytics: An Umbrella Review (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.104\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw08sNVtOWDqKRjkXlp_gfiZ\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>293 &nbsp; &nbsp;Math Multiple Choice Question Generation via Human-Large Language Model Collaboration (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.113\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2mzASbI3N3Mqd5EIBlWO_B\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>295 &nbsp; &nbsp;Auditing an Automatic Grading Model with Reinforcement Learning (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.115\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3dV8ltrrFVLRGeBky0DiVx\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 13&nbsp; Advancing High School Dropout Predictions Using Machine Learning<\/li>\n\n\n\n<li>DC 260&nbsp; Identifying and Evaluating Novel Knowledge Component Models for Programming Skills (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.118\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw24q6YrhoqQw9ajpdJSwdOb\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 265 Optimizing Human Learning under a Reinforcement Learning framework (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.119\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3fsUqV8vWRNEtR12K0Si5g\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 284 Challenge of Challenges: Examining the Impact of Difficulty Sequencing on Mastery Learning in Math (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.124\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3FVKCRy97BH9lGO6rdWZb7\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 286 Building Predictive Models for CS Students Help-Seeking Behaviors with Coding Log Data (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.126\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3r0dXnrUMEx2lFGjqsY3Kb\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-kadence-spacer aligncenter kt-block-spacer-820_45c8b8-d2\"><div class=\"kt-block-spacer kt-block-spacer-halign-center\"><hr class=\"kt-divider\" \/><\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Industry Track<\/h3>\n\n\n\n<p>Tuesday, July 16, 11:30-12:30<br>Room 222<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>6 Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga and Hasan Uzun. An Evaluation of a Placement Assessment for an Adaptive Learning System (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-industry.61\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2s3HUno_0vsQYPeDV43H1y\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>9 Lief Esbenshade, Jonathan Vitale and Ryan Baker. Non-Overlapping Leave Future Out Validation (NOLFO): Implications for Graduation Prediction (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-industry.62\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0aeofCPcVLeWB6IC7U6yNP\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>209 Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar and Chee Wee Leong. Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D5HsKhs3ND4g&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2NsgRz9IJz9RK2tBSRC0V5\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-industry.63\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw33hazwR22y3HHQGsAxl_SU\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>239 Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Biswas and Justin Barber. Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students&#8217; Lived Experiential Essays (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3Dd7VOrLPYsjc&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw39655suy4mZVhUGuPVMaRX\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-industry.64\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2O3UGX1aBy5Kc7GwJIN4Y8\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Reinforcement Learning\/Pedagogical Agents<\/h3>\n\n\n\n<p>Tuesday, July 16, 11:30-12:30<br>Room 236<br>Session Chair: tba<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>202 Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi and Tiffany Barnes How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor<\/em><em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DUzHULYffOyw%26t%3D1s&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3PuBPdbHHjfZNu3jq2zbW4\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.21\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3DAWPE81e3n_1w_h_KX6sz\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>150 Bahar Radmehr, Adish Singla and Tanja K\u00e4ser Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DSV0Gl4mwico&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw37W6PGf9AXZLSmh385RXxc\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.15\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3jIT7aLNmw50x_g1UX1IQc\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>1<\/em><em>02 Md Mirajul Islam, Xi Yang, John Hostetter, Adittya Soukarjya Saha and Min Chi A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DcKfKQHYdfIE%26ab_channel%3DMdMirajulIslam&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0kWxzwfLRFgWrGqid4Vr9h\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.11\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0tuTyQjzUmeuzdR1aCCL04\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Knowledge Tracing and Curricula<\/h3>\n\n\n\n<p>Tuesday, July 16, 13:30-15:30<br>Room 236<br>Session Chair: Yang Shi<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>21 Denis Shchepakin, Sreecharan Sankaranarayanan and Dawn Zimmaro Parametric Constraints for Bayesian Knowledge Tracing from First Principles (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DPEeOqvTsE40&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1eVw53ElmhPU8XEGewbn_N\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.2\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0UK20DMDG07VZi8d7U4KIk\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>153 Napol Rachatasumrit, Paulo Carvalho and Kenneth Koedinger Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining<\/em><em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.17\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0jYlPwCl0iBRYAMu2MpTdM\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>64 Yiyao Li, Lu Wang, Jung Jae Kim, Chor Seng Tan and Ye Luo On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver<\/em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DrNyiiw72wVA&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0Ar6w5cxbKhoKKcuy6gnkp\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.8\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0vMNklUFClYjr4oJol5XPw\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>63 Ying Zhang, Yan Zhang, Wei Xu, Zhifeng Wang and Jianwen Sun SingPAD: A Knowledge Tracing Dataset Based on Music Performance Assessment (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DMK80XWrtkBs&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2UElNfJPWcoKXSjhMFTmPj\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.30\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1Y9ZMZzyykrGJYrq8bvYju\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>145 Meng Cao, Philip Pavlik Jr., Wei Chu and Liang Zhang Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D-Sl_C7dhzfY&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0ych-z_91v-zxsk5eq8SYT\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.53\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0ki4mFYXxdi4VGz-gahBcl\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>48 Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes and Min Chi More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DPAUmWqp9ffI&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2K9kMo9tyjCDNImLjtwXwZ\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.27\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1CmNA_wAMcOvBNVBcbqaiz\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li><em>JEDM-7 Avery Harrison Closer, Anthony F. Botelho, Jenny Yun-Chen Chan Exploring the Impact of Symbol Spacing and Problem Sequencing on Arithmetic Performance: An Educational Data Mining Approach<\/em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/767&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1CSiRgePTBkbsP40KxCtXY\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Collaborative Learning<\/h3>\n\n\n\n<p>Tuesday, July 16, 16:00-18:00<br>Room 236<br>Session Chair: Jina Kang<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>90* Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger and Vincent Aleven Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? (<\/em><em><a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D04CeMsZ_61s&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1pUI8xXIQtox-vkRfobZwd\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.10\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1ttPlhCyytcG1YL08SCtzp\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a><\/em><em>)<\/em><\/li>\n\n\n\n<li><em>138* Videep Venkatesha, Abhijnan Nath, Ibrahim Khebour, Avyakta Chelle, Mariah Bradford, Jingxuan Tu, James Pustejovsky, Nathaniel Blanchard and Nikhil Krishnaswamy Propositional Extraction from Natural Speech in Small Group Collaborative Tasks<\/em> <em>(<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DuK_ZNtlqwbQ&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1RGErYkHvD4ScNToRlXuK9\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.14\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3Abv_5OjhX5PvJxWy-VJtU\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>76* Jiani Wang, Shiran Dudy, Xinlu He, Zhiyong Wang, Rosy Southwell and Jacob Whitehill Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions? (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D_P1VQBqUDsw&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2ilM9hiY7mCGl_CGAe_a3o\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.33\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3EeNJNw2wgJIOjhzPhyRmY\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>174 Yuya Asano, Diane Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker What metrics of participation balance predict outcomes of collaborative learning with a robot better? (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3Dmb7Etc45AgA&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1_d6dFsZDVbO7smtkao3_q\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.59\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2YTbNCnizVWHPDG14SzMAW\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>154 Hongming Li, Shan Zhang, Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer and Anthony F. Botelho Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DP7yiE8p7R8g&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3HkpWt4THQqGq7uda_axAk\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.54\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3T984XRAhZKgB77iAYZFyA\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>117 S\u00f6ren R\u00fcttgers, Ulrike Kuhl, Benjamin Paa\u00dfen Automatic Matchmaking in two-versus-two sports (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3Di68rSyjo7aY&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3_q5rO8k4p2xa7vD7IFQJ8\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.45\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw27ERIrhDxbGGO5cWJKbBU8\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>130* Nhat Tran, Richard Correnti, Lindsay Clare Matsumura, Benjamin Pierce and Diane Litman Analyzing Large Language Models for Classroom Discussion Assessment (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DiAv9s5-FIoA&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw26zijaEVBY8IHZvuQlx8kx\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.50\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1o8AGWpGAjGEfR-zE0cm0o\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Prediction and Supervised Learning<\/h3>\n\n\n\n<p>Tuesday, July 16, 16:00-18:00<br>Room 222<br>Session Chair: Christopher Brooks<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>32<\/em><em> Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang and Gary Weiss Predicting GRE Scores from Application Materials in Test-Optional Admissions (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DMkMLqXZVN54&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0a8pB7fgCtr32GeBooZtf1\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.3\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw39MTx6bq4ryd5-r0bkRv0U\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>20 Chenguang Pan and Zhou Zhang Examining the Algorithmic Fairness in Predicting High School Dropouts (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D3Xvs1260GlE&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2JLBDlsNU87-Vu47uKlrDO\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.22\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3ywehPkPx8XMqjeMD4cV4x\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>121 Scott Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes and Wesley Morris Plagiarism Detection Using Keystroke Logs (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DlSqwsgIdlTo&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2CWE4OZl7tbEf29qBFth_x\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.47\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2scSrrG8UCQhlj71GXni3x\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>108 Jade Ma\u00ef Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis and Tanja K\u00e4ser Investigation of Behavioural Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DtV-RiF1D41g&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3h38FVhAdxX32wbJTuP1ic\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.43\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw19u1BrmqRJS4ZLmH4qBAnq\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li><em>183 Halim Acosta, Seung Lee, Bradford Mott, Haesol Bae, Krista Glazewski, Cindy Hmelo-Silver and James Lester Multimodal Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based Learning<\/em><em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DKuG-Punef1A&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3u-QqwfYuro_0a-XNbFJJq\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.19\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2H_cPmaBjZ7d5rIvuLOxNH\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>71 Or Goren, Liron Cohen and Amir Rubinstein Early Prediction of Student Dropout in Higher Education using Machine Learning Models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DAe_F6yVlsBM&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1KZMd9ZiBQdvqfgGo5d9uh\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.32\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1JKAFFEhAzTngKO1-ydjbd\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>101 Yuma Miyazaki, Valdemar \u0160v\u00e1bensk\u00fd, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu and Atsushi Shimada E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DPIS3JFzdlus&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0G3brBRKIu8jGxMgaOuZwr\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.42\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3VuElQ0_68_gqkBaPJDh58\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-kadence-spacer aligncenter kt-block-spacer-820_42a8a6-12\"><div class=\"kt-block-spacer kt-block-spacer-halign-center\"><hr class=\"kt-divider\" \/><\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Computer Science Education (A)<\/h3>\n\n\n\n<p>Wednesday, July 17, 11:30-12:30<br>Room 236<br>Session Chair: Kathryn Cunningham<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>IAALDE* Toni V. Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric Wiebe Confusion, Conflict, Consensus: Modeling Dialogue Processes during Collaborative Learning with Hidden Markov Models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/doi.org\/10.1007\/978-3-031-36272-9_50&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1AAIUNgPef52um9kjCOqon\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>46 Yang Shi, Min Chi, Tiffany Barnes and Thomas Price Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DE8Z3j33Y6pQ&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2WmBZCiDlzs_8q2G0D-3AI\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.25\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2J-0Hd0f7D4OFNnu9J4gEG\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>126 Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin Lynch and Sarah Heckman Who should I help next? Simulation of office hours queue scheduling strategy in a CS2 course (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DbMHQS3JozHE&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw205QJpYtD6Ljr15Eovt_2P\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.48\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw01eNu34EIikQa3V0cbkK73\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>66 Manh Hung Nguyen, Sebastian Tschiatschek and Adish Singla Large Language Models for In-Context Student Modeling: Synthesizing Student&#8217;s Behavior in Visual Programming (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D1EjFNTXgvWQ&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0C9Q2F5Bt-SCMNL7FdJH_E\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.31\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2njCoxkVGTWChQiPW1DIpg\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Research Practices (A)<\/h3>\n\n\n\n<p>Wednesday, July 17, 11:30-12:30<br>Room 222<br>Session Chair: John Stamper<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>133 Charlotte Mann, Jiaying Wang, Adam Sales and Johann Gagnon-Bartsch Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.52\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3RBDY4qzzUZwK3bP-A8cw_\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>80 Duy Pham, Kirk Vanacore, Adam Sales and Johann Gagnon-Bartsch LOOL: Towards Personalization with Flexible &amp; Robust Estimation of Heterogeneous Treatment Effects (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DsJslikDIvPo&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0EBik4V_b-cuCUJa9Ec2Ro\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.35\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1Dp5OBI07gZ0eV46y_PXLw\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>36 Ryan S. Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava and Caitlin Mills Open Science and Educational Data Mining: Which Practices Matter Most? (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.24\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0bFUAatF9NlzdclSN5mm6C\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>53 Aswani Yaramala, Soheila Farokhi and Hamid Karimi Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.29\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0Sd5Heu9DYhFo3drRBjECv\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Computer Science Education (A)<\/h3>\n\n\n\n<p>Wednesday, July 17, 13:30-15:00<br>Room 236<br>Session Chair: Jeremy Roschelle<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>44 Yunsung Kim, Jadon Geathers and Chris Piech Grading and Clustering Student Programs That Produce Probabilistic Output (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DGCyUe_aLp5E&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3OU7R5UhIEULQJCD99tISG\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.4\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3PPAth17tKD-TquujqffpL\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>50 Mehmet Arif Demirtas, Max Fowler and Kathryn Cunningham Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems<\/em><em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3DOlPgLmhpTwI&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3_VdHG9Ti3pFMh21lU3bAp\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.5\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3atNPHxm4giPN7oFwfD9bG\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>57 Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor and Hamid Karimi Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3Dko2l2tZSwsA&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3b8gns7Vx_EnAssvU3oBKC\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-long-papers.7\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2_ooZOkMHjsX39_zAnffm6\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>29 Kaden Hart, Christopher Warren, Seth Poulsen and John Edwards Phone Use While Programming (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/www.youtube.com\/watch?v%3D2EwO3IFnwQs&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2oiLB-bETaWNXVCIcqn1S9\" target=\"_blank\" rel=\"noreferrer noopener\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.23\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2YTHiwwxG4TNXgfXw5CJ4m\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li><em>JEDM-1 Yang Shi, Robin Schmucker, Keith Tran, John Bacher, Kenneth Koedinger, Thomas Price, Min Chi, Tiffany Barnes The Knowledge Component Attribution Problem for Programming: Methods and Tradeoffs with Limited Labeled Data<\/em><em> (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/755&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0lURI1fX1kIZiK0wbdc1C4\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Research Practices (B)<\/h3>\n\n\n\n<p>Wednesday, July 17, 13:30-15:00<br>Room 222<br>Session Chair: Mingyu Feng<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>JEDM-4 John Stamper, Philip I. Pavlik Jr., Steven Moore, Kenneth Koedinger, Carolyn P. Ros\u00e9 LearnSphere: A Learning Data and Analytics Cyberinfrastructure <\/em><em>(<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/769&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0ZFlRNHQKbct-3YP2M6iHr\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li><em>JEDM-3 Frank Stinar, Zihan Xiong, Nigel Bosch An Approach to Improve k-Anonymization Practices in Educational Data Mining (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/jedm.educationaldatamining.org\/index.php\/JEDM\/article\/view\/764&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2UIlmGhY5bawXT66J4a7-8\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/em><\/li>\n\n\n\n<li>118 Jaylin Lowe, Charlotte Mann, Jiaying Wang, Adam Sales and Johann Gagnon-Bartsch Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.46\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3AChmWBsjDN9OPQGg7td0O\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>47 Golnaz Arastoopour Irgens, Ibrahim Adisa, Deepika Sistla, Tolulope Famaye, Cinamon Bailey, Atefeh Behboudi and Adenike Adefisayo Promoting Theory-Building in Design-Based Research through Data-Based Models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.26\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw30YHOD82izk6W03Ejnpq6N\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>82 Adam Sales, Kirk Vanacore, Hyeon-Ah Kang and Tiffany Whittaker Problem-Solving Types and EdTech Effectiveness: A Model for Exploratory Causal Analysis (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.36\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2DTL9J3xvgdSXvaVAggiXu\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>92 Mary Ann Simpson, Kole Norberg and Stephen Fancsali Replicating an \u201cAstonishing Regularity in Student Learning Rates\u201d (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-short-papers.40\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3DMSydMjI-XF81IoakHlQQ\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Poster Session B<\/h3>\n\n\n\n<p>Wednesday, July 17, 16:00-17:30<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>11 &nbsp; &nbsp;Mining Epistemic Actions of Programming Problem Solving with Chat-GPT (<a href=\"https:\/\/www.youtube.com\/watch?v=4969fL5NQiU\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.65\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2CqqTQ3UPehfq6IPgmm-0J\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>23 &nbsp; &nbsp;The Construction and Analysis of Course Grades Across Public Universities (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.67\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw10VO99Sbasrr0xfFhc4F7K\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>27 &nbsp; &nbsp;Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.69\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3Oi7wy3Fy08cD_Rv07-Aqd\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>28 &nbsp; &nbsp;How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.70\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3-kgXnHfBCG6ncQF4VfcAB\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>56 &nbsp; &nbsp;Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational Artifacts (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.75\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0Nus99mU3YrdEKMcvhnyp2\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>78 &nbsp; &nbsp;Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student Assessments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.77\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2beW4ez9wh4vsZ4TzsD7nJ\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>81 &nbsp; &nbsp;Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.78\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1DyMo2tug6BKmwJizKOUHl\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>99 &nbsp; &nbsp;Social Network and Self-representation in Megathread: Group Formation in a Data Science Crowdsourcing Community (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.81\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3gNMVDE74kfCFZiFMO3enK\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>144 &nbsp; &nbsp;The Cleaned Repository of Annotated Personally Identifiable Information (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.88\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw180uBS6KCnuZEFhQ-lDEVd\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>148 &nbsp; &nbsp;Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom Observations (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.89\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3g7SmPLgN4mDTM4DKc-kZ4\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>149 &nbsp; &nbsp;How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.90\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3U_NTUS4aneQJdB_7Ts4UK\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>161 &nbsp; &nbsp;It&#8217;s All About the Prompt: Deductive Coding&#8217;s Role in AI vs. Human Performance (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.91\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0rfEuW40vs2mop0jneuhRg\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>201 &nbsp; &nbsp;Cultural Diversity in Team Conversations: A Deep Dive into its Effects on Cohesion and Team Performance (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.93\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3dd1QtqeBhmYHI9VMVIWkF\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>206 &nbsp; &nbsp;An Exploratory Analysis of Students\u2019 Problem-Solving Strategies in the Water Cycle Game (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.94\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3uU5hN2DUKyzuX1mBn59yy\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>238 &nbsp; &nbsp;EduQuest: Lecture Texts and Questions for Higher Education (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.97\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2WXU2IcFTx-ghrBhc0ilgf\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>263 &nbsp; &nbsp;Predicting Response Time of Questions Using Linear Mixed-effects Model (<a href=\"https:\/\/www.youtube.com\/watch?v=16ri3PQCYyU\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.102\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1Pu4KExfDuqeFG0vlmphlM\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>267 &nbsp; &nbsp;Comparing Clustering Methods in Group-level Test Collusion Detection (<a href=\"https:\/\/www.youtube.com\/watch?v=S3aVCY6NpkI\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.105\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0m-UUCJln7VNYzs7SwlA9M\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>270 &nbsp; &nbsp;Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.106\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3Nv4V-kfz_OQcgWQoR6Tf4\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>272 &nbsp; &nbsp;FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysis (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.107\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw22Zi4vjfiVlJkprA8b29j8\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>274 &nbsp; &nbsp;Uncertainty-preserving deep knowledge tracing with state-space models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.108\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw24dl4Kfhit9-JHH8iL5UX8\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>278 &nbsp; &nbsp;Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs (<a href=\"https:\/\/www.youtube.com\/watch?v=55dhp86yqVA\">Video<\/a>, <a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.109\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2zDN5pLpuMWlbd7yePwWgR\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>280 &nbsp; &nbsp;Investigating the Dynamic Change of Pre- and In-service Teachers&#8217; Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.110\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw3EaLL-iXmfSWl_PNMzLu_c\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>283 &nbsp; &nbsp;Exploring Simultaneous Knowledge and Behavior Tracing (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.111\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0ImIroCiVgzO5ybupqnaLi\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>292 &nbsp; &nbsp;Interpreting Latent Student Knowledge Representations in Programming Assignments (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.112\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0CPnAauq8xznO2tRnwHot2\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>294 &nbsp; &nbsp;Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-posters.114\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0jjBDiu6MP0maboNtAasj_\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 241&nbsp; Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.117\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2B-FiTdJBZpVX1EGKNFYME\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 275 Intrinsically Interpretable Artificial Neural Networks For Learner Modeling (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.121\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0z7nM6h36r59Mg2AplSUlp\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 277 Designing simulated student to emulate learner activity data in an open-ended learning environment (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.122\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw2mimBvThp8WGN3aJBfadFH\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 281 Boosting Precision in Educational A\/B Tests Using Auxiliary Information and Design-Based Estimators (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.123\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw0_bmaRVKwpjW2-URUh-BWw\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 285 Developing Explainable AI Systems to Support Feedback for Students (<a href=\"https:\/\/www.google.com\/url?q=https:\/\/educationaldatamining.org\/edm2024\/proceedings\/2024.EDM-doctoral-consortium.125\/index.html&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1WCfT4vTDlAG34M0p_bcfx\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a>)<\/li>\n\n\n\n<li>DC 290&nbsp; Evaluating the Effectiveness of Hints and Explanations Across Schools with Different Student Demographics<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Affective Computing Monday, July 15, 11:00-12:30Room 222Session Chair: Jacob Whitehill Large language models in education (A) Monday, July 15, 11:00-12:30Room 236Session Chair: Stephen Hutt Large language models in education (B) Monday, July 15, 13:30-15:30Room 236Session Chair: Scott Crossley Learning analytics and recommender systems Monday, July 15, 13:30-15:30Room 222Session Chair: Atsushi Shimada Poster Session A Monday, [&hellip;]<\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[],"tags":[],"class_list":["post-820","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/pages\/820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/comments?post=820"}],"version-history":[{"count":12,"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/pages\/820\/revisions"}],"predecessor-version":[{"id":856,"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/pages\/820\/revisions\/856"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/media?parent=820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/categories?post=820"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2024\/wp-json\/wp\/v2\/tags?post=820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}