| 2025 | 2nd Workshop on Educational Data Mining in Writing and Literacy Instruction. Collin Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola |
| 2025 | 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop. Bita Akram, Yang Shi, Peter Brusilovsky, Thomas W. Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew S. Lan, Juho Leinonen |
| 2025 | A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification. Mohammad Arif Ul Alam, Geeta Verma, Eumie Jhong, Justin Otto Barber, Ashis Kumer Biswas |
| 2025 | A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning. Rohit Murali, Cristina Conati, David Poole |
| 2025 | A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors. Juan D. Pinto, Luc Paquette |
| 2025 | A Holistic Recommendation System for Higher Education Academic Activities. Rafael Alves da Silva, Lucas N. Ferreira |
| 2025 | A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang |
| 2025 | A Multi-View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics. Halim Acosta, Seung Y. Lee, Daeun Hong, Wookhee Min, Bradford W. Mott, Cindy E. Hmelo-Silver, James C. Lester |
| 2025 | Accelerating Practical Knowledge Sharing in Teachers' Communities with Human-aware Artificial Intelligence. Xinyi He |
| 2025 | An Efficient Linearized Optimization Framework for Designing Balanced and Efficient Degree Plans. Ahmad Slim, Chaouki T. Abdallah, Ameer Slim |
| 2025 | Analysis of Students' Attempts Trajectories in Learning Programming. Idir Saidi, Nicolas Durand, Frédéric Flouvat |
| 2025 | Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data. Jade Cock, Frank Stinar, René F. Kizilcec, Tanja Käser |
| 2025 | Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation. Leonidas Zotos, Hedderik van Rijn, Malvina Nissim |
| 2025 | Assistant for the detection of potential cheating behavior in synchronous online programming exams. Francisco Ortin, Alonso Gago, José Quiroga, Miguel García |
| 2025 | Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram |
| 2025 | Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies. Efe Bozkir, Christian Kosel, Tina Seidel, Enkelejda Kasneci |
| 2025 | Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification. Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky, Tanja Käser |
| 2025 | Bringing Generative Artificial Intelligence (GenAI) to Education. Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang |
| 2025 | Building Explainable Recommender System for Engineering Students Work-Integrated Learning (WIL). Woorin Hwang, Hongming Li, Anna Pauline Aguinalde, Yilin Zhang, Jinnie Shin, Kent J. Crippen, Bruce F. Carroll |
| 2025 | Can Language Models Grade Algebra Worked Solutions? Evaluating LLM-Based Autograders Against Human Grading. Shreya Bhandari, Zach A. Pardos |
| 2025 | CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. Kirk Vanacore, Anthony F. Botelho, Avery Closser, Adam Sales, Neil T. Heffernan |
| 2025 | Choosing to Learn: Achievement Goals, Immersion, and Competition in Non-Educational Gaming Contexts. Farshid Farzan, Israt Naiyer, Shaeekh Al Jahan, Brandon M. Booth |
| 2025 | Comparing Human Roleplayers and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns. Eric Rudolph, Philipp Steigerwald, Jens Albrecht |
| 2025 | Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data. Wan-Chong Choi, Chan-Tong Lam, António José Mendes |
| 2025 | Concept Drift Detection for Knowledge Tracing. Morgan P. Lee, Neil T. Heffernan |
| 2025 | Coping with ADHD in College: Topic Modeling and Sentiment Analysis of Online Peer Discussions on Reddit. Sihan Jian, Saptarshi Bhowmik, K. Bret Staudt Willet |
| 2025 | Data-Knowledge-Driven Automatic Discovery of Teacher Classroom Teaching Behavior Indicator Categories. Ting Cai, Qingyuan Tang, Yu Xiong, Lu Zhang |
| 2025 | Does Student Learning Rate Depend on Feedback Type and Prior Knowledge? Hendrik Fleischer, Arne Noglik, Conrad Borchers, Sascha Schanze |
| 2025 | Effect estimates using publicly available school-level data in a cluster-randomized educational experiment. Adam Sales, Charlotte Z. Mann, Johann Gagnon-Bartsch, Neil T. Heffernan |
| 2025 | Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang |
| 2025 | Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance. Kyosuke Takami, Satoshi Sekine, Yusuke Miyao |
| 2025 | Evaluating multidimensional extensions of the Elo rating systems for tracking ability in online learning environments. Hanke Vermeiren, Abe D. Hofman, Maria Bolsinova |
| 2025 | Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing. Philip I. Pavlik Jr., Luke Eglington |
| 2025 | Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms. Süleyman Özdel, Can Sarpkaya, Efe Bozkir, Hong Gao, Enkelejda Kasneci |
| 2025 | Extracting Causal Relations in Deep Knowledge Tracing. Kevin Hong, Kia Karbasi, Gregory J. Pottie |
| 2025 | Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch |
| 2025 | From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP. Seehee Park, Danielle Shariff, Mohammad Amin Samadi, Nia Nixon, Sidney D'Mello |
| 2025 | Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems. Yanping Pei, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker |
| 2025 | Generating Competitive Distractors from Student Error Data. Myrthe Braam, Maarten van der Velde, Hedderik van Rijn |
| 2025 | Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? Aylin Ozturk, Robin Schmucker, Tom M. Mitchell, Alper Tolga Kumtepe |
| 2025 | How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson. Jiayi Zhang, Kirk Vanacore, Ryan S. Baker, Nabil Ch, Caitlin Mills, Owen Henkel |
| 2025 | Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance. Liang Tang, Nigel Bosch |
| 2025 | Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback. Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla |
| 2025 | Implementation, Not Capabilities: How Chatbot Utilization Shapes Learners' Navigation Patterns in MOOCs. Songhee Han, Hunhui Na, Chaewon Kim |
| 2025 | Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations. Jiawei Li, Qianru Lyu, Wei Qiu, Andy W. H. Khong |
| 2025 | Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop. Juliette Woodrow, Chris Piech, Sanmi Koyejo |
| 2025 | Improving the Generalizability of Models of Collaborative Discourse. Chelsea Chandler, Rohit Raju, Jason G. Reitman, William R. Penuel, Monlin Monica Ko, Jeffrey B. Bush, Quentin Biddy, Sidney K. D'Mello |
| 2025 | Integrated Curriculum Analytics: Bridging Structure, Pass Rates, and Student Outcomes. Ahmad Slim, Chaouki T. Abdallah, Elisha Allen, Ameer Slim |
| 2025 | Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA). Peter W. Foltz, Gautam Biswas, Sidney D'Mello |
| 2025 | Investigating Cognitive Strategies in a Mental Rotation Task using Eye Tracking Heat Maps. Kabyashree Khanikar |
| 2025 | Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness. Arisha Khan, Nathaniel Li, Tori Shen, Anna N. Rafferty |
| 2025 | KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery. Yumou Wei, Paulo Carvalho, John C. Stamper |
| 2025 | LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data. Chaewon Kim, Fengfeng Ke, Nuodi Zhang, Alex Barrett |
| 2025 | Leveraging KOALA for Programming Data Collection: A Half-Day Tutorial for Research Application. Daniil Karol, Ilya Vlasov, Katsiaryna Dzialets, Anna Potriasaeva, Anastasiia Birillo |
| 2025 | Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers. Kole Norberg, Husni Almoubayyed, Stephen Fancsali |
| 2025 | Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software. Pranjli Khanna, Kaleb Mathieu, Kole Norberg, Husni Almoubayyed, Stephen Fancsali |
| 2025 | Mining for Knowledge, Not Trouble: GDPR's Impact on Educational Data Mining. Aytaj Ismayilzada, Mirka Saarela, Ayaz Karimov |
| 2025 | Multi-Agent Collaborative Framework For Math Problem Generation. Kia Karbasi, Kevin Hong, Mohammad Amin Samadi, Gregory J. Pottie |
| 2025 | Multi-Stage Speaker Diarization for Noisy Classrooms. Ali Sartaz Khan, Tolúlopé Ògúnrèmí, Ahmed Adel Attia, Dorottya Demszky |
| 2025 | Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach. Ruikun Hou, Babette Bühler, Tim Fütterer, Efe Bozkir, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci |
| 2025 | Natural Language-Driven Teacher Gesture Recognition. Yu Xiong, Shengyi Chen, Ting Cai, Lulu Chen, Jun Li |
| 2025 | Nonstandard English and the Automated Scoring of Open-Ended Math Problems. Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil T. Heffernan, Eamon Worden |
| 2025 | Objective Metrics for Evaluating Large Language Models Using External Data Sources. Haoze Du, Richard Li, Edward F. Gehringer |
| 2025 | On the Practicality of Differential Privacy for Knowledge Tracing. Anika Kabir, Chandan Tankala, Daniel Lowd |
| 2025 | One Model to Score Them All: Unified Scoring of Learning Strategies with LLMs. Andreea-Nicoleta Dutulescu, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara |
| 2025 | Practical Evaluation of Deep Knowledge Tracing Models for use in Learning Platforms. Bogdan Yamkovenko, Charles Hogg, Maya Miller-Vedam, Phillip Grimaldi, Walt Wells |
| 2025 | Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers. Mark Kim, Shreyas Raghuraman, Arno Puder, Craig Hayward, Hui Yang |
| 2025 | Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models. Anca O. Muresan, Mihaela Cardei, Ionut Cardei |
| 2025 | Preserving the integrity of study behaviour in online retrieval practice using quantified learner dynamics. Maarten van der Velde, Malte Krambeer, Hedderik van Rijn |
| 2025 | Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram |
| 2025 | Proceedings of the 18th International Conference on Educational Data Mining, EDM 2025, Palermo, Italy, July 20-23, 2025 Caitlin Mills, Giora Alexandron, Davide Taibi, Giosuè Lo Bosco, Luc Paquette |
| 2025 | Quest-Genius: An AI-Driven Personalised Learning Platform Bridging Educational Gaps for Secondary Students - A Quasi-Experimental Study on Academic Performance, Engagement, and Equity. Vijay Prakash, Rishabh Bansal, Sanjay Sharma |
| 2025 | Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features. Shunsuke Yoneda, Valdemar Svábenský, Gen Li, Daisuke Deguchi, Atsushi Shimada |
| 2025 | Scaffolding AI Literacy Through Student-AI Collaboration in Chatbot Development. Shan Zhang, Anthony F. Botelho |
| 2025 | Short answer grading with sentence similarity and a few given grades. Michel C. Desmarais, Arman Bakhtiari, Ovide Kuichua, Samira Chiny Folefack Temfack, Chahé Nerguizian |
| 2025 | Starting Seatwork Earlier as a Valid Measure of Student Engagement. Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth R. Koedinger |
| 2025 | The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. Vinitra Swamy, Jakub Kuzilek, Juan D. Pinto, Luc Paquette, Tanja Käser, Qianhui Liu, Lea Cohausz |
| 2025 | The Half-Life of Epistemic Emotions: How Motivation Influences Affective Chronometry. Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Kirk Vanacore, Jordan Esiason, Jessica Vandenberg |
| 2025 | Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA. Conrad Borchers |
| 2025 | Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue. Jannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, James H. Martin, Tamara Sumner |
| 2025 | Understanding Predictive Models of Student Success with a Multiverse Analysis. Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, René F. Kizilcec, Christopher Brooks |
| 2025 | Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information. Hyeongdon Moon, Richard Lee Davis, Seyed Parsa Neshaei, Pierre Dillenbourg |
| 2025 | Using Survival Analysis to Identify the Factors that Mitigate Attrition among Adult Learners with Low Literacy Skills in an ITS-based Literacy Program. Genghu Shi, Shun Peng, Daphne Greenberg, Jan C. Frijters, Arthur C. Graesser |
| 2025 | Using Webcam-Based Eye Tracking during a Learning Task to Understand Neurodivergence. Grace D. Jaiyeola, Aaron Y. Wong, Richard L. Bryck, Caitlin Mills, Stephen Hutt |
| 2025 | Visualization of Solution Processes to Reach the Correct Answer in Online Math Tests. Tomoki Takada, Saburo Higuchi, Yasuyuki Nakamura |
| 2025 | What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks. Jesper Dannath, Alina Deriyeva, Benjamin Paassen |
| 2025 | When LLMs Hallucinate: Examining the Effects of Erroneous Feedback in Math Tutoring Systems. Marlene Steinbach, Shreya Bhandari, Jennifer Meyer, Zach A. Pardos |
| 2025 | Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring. Qiao Jin, Conrad Borchers, Stephen Fancsali, Vincent Aleven |
| 2025 | srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML. Maciej Pankiewicz, Yang Shi, Ryan S. Baker |