{"id":436,"date":"2025-05-02T06:30:09","date_gmt":"2025-05-02T06:30:09","guid":{"rendered":"https:\/\/educationaldatamining.org\/edm2025\/?page_id=436"},"modified":"2025-08-14T11:07:13","modified_gmt":"2025-08-14T11:07:13","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2025\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Long Papers<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms \u2013 S\u00fcleyman \u00d6zdel, Can Sarpkaya, Efe Bozkir, Hong Gao and Enkelejda Kasneci<\/li>\n\n\n\n<li>Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data \u2013 Wan Chong Choi, Chan Tong Lam and Ant\u00f3nio Jos\u00e9 Mendes<\/li>\n\n\n\n<li>Starting Seatwork Earlier as a Valid Measure of Student Engagement \u2013 Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven and Kenneth Koedinger<\/li>\n\n\n\n<li>Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies \u2013 Efe Bozkir, Christian Kosel, Tina Seidel and Enkelejda Kasneci<\/li>\n\n\n\n<li>An Efficient Linearized Optimization Framework for Designing Balanced and Efficient Degree Plans \u2013 Ahmad Slim, Chaouki Abdallah and Ameer Slim<\/li>\n\n\n\n<li>Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models \u2013 Anca Muresan, Mihaela Cardei and Ionut Cardei<\/li>\n\n\n\n<li>Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features \u2013 Shunsuke Yoneda, Valdemar \u0160v\u00e1bensk\u00fd, Gen Li, Daisuke Deguchi and Atsushi Shimada<\/li>\n\n\n\n<li>Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification \u2013 Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky and Tanja K\u00e4ser<\/li>\n\n\n\n<li>KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery \u2013 Yumou Wei, Paulo Carvalho and John Stamper<\/li>\n\n\n\n<li>Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance \u2013 Liang Tang and Nigel Bosch<\/li>\n\n\n\n<li>A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization \u2013 Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu and Jiliang Tang<\/li>\n\n\n\n<li>Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions \u2013 Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford Mott, Narges Norouzi, James Lester and Bita Akram<\/li>\n\n\n\n<li>A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning \u2013 Rohit Murali, Cristina Conati and David Poole<\/li>\n\n\n\n<li>Using Webcam-Based Eye Tracking during a Learning Task to Understand Neurodivergence \u2013 Grace Jaiyeola, Aaron Wong, Richard Bryck, Caitlin Mills and Stephen Hutt<\/li>\n\n\n\n<li>Evaluating multidimensional extensions of the Elo rating systems for tracking ability in online learning environments \u2013 Hanke Vermeiren, Abe Hofman and Maria Bolsinova<\/li>\n\n\n\n<li>Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation \u2013 Leonidas Zotos, Hedderik van Rijn and Malvina Nissim<\/li>\n\n\n\n<li>Analysis of Students\u2019 Attempts Trajectories in Learning Programming \u2013 Idir Sa\u00efdi, Nicolas Durand and Fr\u00e9d\u00e9ric Flouvat<\/li>\n\n\n\n<li>Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach \u2013 Ruikun Hou, Babette B\u00fchler, Tim F\u00fctterer, Efe Bozkir, Peter Gerjets, Ulrich Trautwein and Enkelejda Kasneci<\/li>\n\n\n\n<li>A Multi-View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics \u2013 Halim Acosta, Seung Lee, Daeun Hong, Wookhee Min, Bradford Mott, Cindy Hmelo-Silver and James Lester<\/li>\n\n\n\n<li>A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors \u2013 Juan Pinto and Luc Paquette<\/li>\n\n\n\n<li>Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability \u2013 Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh and Nigel Bosch<\/li>\n\n\n\n<li>Improving the Generalizability of Models of Collaborative Discourse \u2013 Chelsea Chandler, Rohit Raju, Jason G. Reitman, William R. Penuel, Monica Ko, Jeffrey B. Bush, Quentin Biddy and Sidney K. D\u2019Mello<\/li>\n\n\n\n<li>Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information \u2013 Hyeongdon Moon, Richard Lee Davis, Seyed Parsa Neshaei and Pierre Dillenbourg<\/li>\n\n\n\n<li>The Half-Life of Epistemic Emotions: How Motivation Influences Affective Chronometry \u2013 Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Kirk Vanacore, Jordan Esiason and Jessica Vandenberg<\/li>\n\n\n\n<li>Nonstandard English and the Automated Scoring of Open-Ended Math Problems \u2013 Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil Heffernan and Eamon Worden<\/li>\n\n\n\n<li>Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue \u2013 Jannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, James Martin and Tamara Sumner<\/li>\n\n\n\n<li>Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning \u2013 Anurata Hridi, Muntasir Hoq, Rajeev Sahay, Seyyedali Hosseinalipour, Zhikai Gao, Collin Lynch and Bita Akram<\/li>\n\n\n\n<li>Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems \u2013 Yanping Pei, Adam Sales, Hyeon-Ah Kang and Tiffany Whittaker<\/li>\n\n\n\n<li>Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations \u2013 Jiawei Li, Qianru Lyu, Wei Qiu and Andy W. H. Khong<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Short Papers<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA \u2013 Conrad Borchers<\/li>\n\n\n\n<li>How much mastery is enough mastery? The relationship between mastery in a lesson and the performance on the subsequent lesson \u2013 Jiayi Zhang, Kirk Vanacore, Ryan S. Baker, Nabil Ch, Caitlin Mills and Owen Henkel<\/li>\n\n\n\n<li>Objective Metrics for Evaluating Large Language Models Using External Data Sources \u2013 Haoze Du, Richard Li and Ed Gehringer<\/li>\n\n\n\n<li>Assistant for the detection of potential cheating behavior in synchronous online programming exams \u2013 Francisco Ortin, Alonso Gago, Jose Quiroga and Miguel Garcia<\/li>\n\n\n\n<li>Integrated Curriculum Analytics: Bridging Structure, Pass Rates, and Student Outcomes \u2013 Ahmad Slim, Chaouki Abdallah, Elisha Allen and Ameer Slim<\/li>\n\n\n\n<li>Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback \u2013 Victor-Alexandru P\u0103durean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny and Adish Singla<\/li>\n\n\n\n<li>Data-Knowledge-Driven Automatic Discovery of Teacher Classroom Teaching Behavior Indicator Categories \u2013 Ting Cai, Qingyuan Tang, Yu Xiong and Lu Zhang<\/li>\n\n\n\n<li>Natural Language-Driven Teacher Gesture Recognition \u2013 Yu Xiong, Shengyi Chen, Ting Cai, Lulu Chen and Jun Li<\/li>\n\n\n\n<li>Using Survival Analysis to Identify the Factors that Mitigate Attrition among Adult Learners with Low Literacy Skills in an ITS-based Literacy Program \u2013 Genghu Shi, Shun Peng, Daphne Greenberg, Jan Frijters and Arthur Graesser<\/li>\n\n\n\n<li>What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks \u2013 Jesper Dannath, Alina Deriyeva and Benjamin Paassen<\/li>\n\n\n\n<li>Enhancing LLM-Based Constructed Response Analysis with RAG \u2013 Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik and Jiliang Tang<\/li>\n\n\n\n<li>srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML \u2013 Maciej Pankiewicz, Yang Shi and Ryan S. Baker<\/li>\n\n\n\n<li>One Model to Score Them All: Unified Scoring of Learning Strategies with LLMs \u2013 Andreea Dutulescu, Stefan Ruseti, Mihai Dascalu and Danielle Mcnamara<\/li>\n\n\n\n<li>Comparing Human and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns \u2013 Eric Rudolph, Philipp Steigerwald and Jens Albrecht<\/li>\n\n\n\n<li>Short answer grading with sentence similarity and a few given grades \u2013 Michel Desmarais, Arman Bakhtiari, Ovide Kuichua, Samira Chiny Folefack Temfack and Chahe Nerguizian<\/li>\n\n\n\n<li>A Holistic Recommendation System for Higher Education Academic Activities \u2013 Rafael Alves da Silva and Lucas Nascimento Ferreira<\/li>\n\n\n\n<li>Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop \u2013 Juliette Woodrow, Chris Piech and Sanmi Koyejo<\/li>\n\n\n\n<li>Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software \u2013 Pranjli Khanna, Kaleb Mathieu, Kole Norberg, Husni Almoubayyed and Stephen Fancsali<\/li>\n\n\n\n<li>Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing \u2013 Philip I. Pavlik Jr. and Luke Eglington<\/li>\n\n\n\n<li>Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? \u2013 Aylin Ozturk, Robin Schmucker, Tom Mitchell and Alper Tolga Kumtepe<\/li>\n\n\n\n<li>Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers \u2013 Kole Norberg, Husni Almoubayyed and Stephen Fancsali<\/li>\n\n\n\n<li>Understanding Predictive Models of Student Success with a Multiverse Analysis \u2013 Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, Rene Kizilcec and Christopher Brooks<\/li>\n\n\n\n<li>Multi-Stage Speaker Diarization for Noisy Classrooms \u2013 Ali Sartaz Khan, Tolulope Ogunremi, Ahmed Attia and Dorottya Demszky<\/li>\n\n\n\n<li>From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP \u2013 Seehee Park, Danielle Shariff, Mohammad Amin Samadi, Nia Nixon and Sidney D\u2019Mello<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Industry papers<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Practical Evaluation of Deep Knowledge Tracing Models for use in Learning Platforms \u2013 Bogdan Yamkovenko, Charles Hogg, Maya Miller-Vedam, Phillip Grimaldi and Walt Wells<\/li>\n\n\n\n<li>A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification \u2013 Mohammad Arif Ul Alam, Geeta Verma, Eumie Jhong, Justin Barber and Ashis Kumer Biswas<\/li>\n\n\n\n<li>Preserving the integrity of study behaviour in online retrieval practice using quantified learner dynamics \u2013 Maarten van der Velde, Malte Krambeer and Hedderik van Rijn<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Posters &amp; Demos<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Choosing to Learn: Achievement Goals, Immersion, and Competition in Non-Educational Gaming Contexts \u2013 Farshid Farzan, Israt Naiyer, Shaeekh Al Jahan and Brandon M Booth<\/li>\n\n\n\n<li>Implementation, Not Capabilities: How Chatbot Utilization Shapes Learners\u2019 Navigation Patterns in MOOCs \u2013 Songhee Han, Hunhui Na and Chaewon Kim<\/li>\n\n\n\n<li>Extracting Causal Relations in Deep Knowledge Tracing \u2013 Kevin Hong, Kia Karbasi and Gregory Pottie<\/li>\n\n\n\n<li>Coping with ADHD in College: Topic Modeling and Sentiment Analysis of Online Peer Discussions on Reddit \u2013 Sihan Jian, Saptarshi Bhowmik and Bret Staudt Willet<\/li>\n\n\n\n<li>Visualization of Solution Processes to Reach the Correct Answer in Online Math Tests \u2013 Tomoki Takada, Saburo Higuchi and Yasuyuki Nakamura<\/li>\n\n\n\n<li>Building Explainable Recommender System for Engineering Students\u2019 Work-Integrated Learning (WIL) \u2013 Woorin Hwang, Hongming Li, Anna Pauline Aguinalde, Yilin Zhang, Jinnie Shin, Kent Crippen and Bruce Carroll<\/li>\n\n\n\n<li>Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness \u2013 Arisha Khan, Nathaniel Li, Tori Shen and Anna Rafferty<\/li>\n\n\n\n<li>Does Student Learning Rate Depend on Feedback Type and Prior Knowledge? \u2013 Hendrik Fleischer, Arne Noglik, Conrad Borchers and Sascha Schanze<\/li>\n\n\n\n<li>Predicting Teacher Interventions in K-12 Classrooms Using Disengagement, Struggle and Help-Seeking \u2013 Qiao Jin, Conrad Borchers, Stephen Fancsali and Vincent Aleven<\/li>\n\n\n\n<li>Mining for Knowledge, Not Trouble: GDPR\u2019s Impact on Educational Data Mining \u2013 Aytaj Ismayilzada, Mirka Saarela and Ayaz Karimov<\/li>\n\n\n\n<li>Generating Competitive Distractors from Student Error Data \u2013 Myrthe Braam, Maarten van der Velde and Hedderik van Rijn<\/li>\n\n\n\n<li>Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance \u2013 Kyosuke Takami, Satoshi Sekine and Yusuke Miyao<\/li>\n\n\n\n<li>Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers \u2013 Mark Kim, Shreyas Raghuraman, Arno Puder, Craig Hayward and Hui Yang<\/li>\n\n\n\n<li>LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data \u2013 Chaewon Kim, Fengfeng Ke, Nuodi Zhang and Alex Barrett<\/li>\n\n\n\n<li>Quest-Genius: An AI-Driven Personalised Learning Platform Bridging Educational Gaps for Secondary Students \u2013 A Quasi-Experimental Study on Academic Performance, Engagement, and Equity \u2013 Vijay Prakash, Rishabh Bansal and Sanjay Sharma<\/li>\n\n\n\n<li>Multi-Agent Collaborative Framework For Math Problem Generation \u2013 Kia Karbasi, Kevin Hong, Mohammad Amin Samadi and Gregory Pottie<\/li>\n\n\n\n<li>On the Practicality of Differential Privacy for Knowledge Tracing \u2013 Anika Kabir, Chandan Tankala and Daniel Lowd<\/li>\n\n\n\n<li>Can GPT-4o Grade Algebra Worked Solution Responses? Evaluating an LLM-Based Autograder Against Human Grading. \u2013 Shreya Bhandari and Zach Pardos<\/li>\n\n\n\n<li>Effect estimates using publicly available school-level data in a cluster-randomized educational experiment \u2013 Adam Sales, Charlotte Mann, Johann Gagnon-Bartsch and Neil Heffernan<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Long Papers Short Papers Industry papers Posters &amp; Demos<\/p>\n","protected":false},"author":26,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-436","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages\/436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/comments?post=436"}],"version-history":[{"count":2,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages\/436\/revisions"}],"predecessor-version":[{"id":685,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages\/436\/revisions\/685"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/media?parent=436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/categories?post=436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/tags?post=436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}