Accepted Papers

Long Papers

• Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms – Süleyman Özdel, Can Sarpkaya, Efe Bozkir, Hong Gao and Enkelejda Kasneci
• Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data – Wan Chong Choi, Chan Tong Lam and António José Mendes
• Starting Seatwork Earlier as a Valid Measure of Student Engagement – Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven and Kenneth Koedinger
• Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies – Efe Bozkir, Christian Kosel, Tina Seidel and Enkelejda Kasneci
• An Efficient Linearized Optimization Framework for Designing Balanced and Efficient Degree Plans – Ahmad Slim, Chaouki Abdallah and Ameer Slim
• Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models – Anca Muresan, Mihaela Cardei and Ionut Cardei
• Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features – Shunsuke Yoneda, Valdemar Švábenský, Gen Li, Daisuke Deguchi and Atsushi Shimada
• Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification – Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky and Tanja Käser
• KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery – Yumou Wei, Paulo Carvalho and John Stamper
• Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance – Liang Tang and Nigel Bosch
• 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 Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu and Jiliang Tang
• 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 Mott, Narges Norouzi, James Lester and Bita Akram
• A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning – Rohit Murali, Cristina Conati and David Poole
• Using Webcam-Based Eye Tracking during a Learning Task to Understand Neurodivergence – Grace Jaiyeola, Aaron Wong, Richard Bryck, Caitlin Mills and Stephen Hutt
• Evaluating multidimensional extensions of the Elo rating systems for tracking ability in online learning environments – Hanke Vermeiren, Abe Hofman and Maria Bolsinova
• Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation – Leonidas Zotos, Hedderik van Rijn and Malvina Nissim
• Analysis of Students’ Attempts Trajectories in Learning Programming – Idir Saïdi, Nicolas Durand and Frédéric Flouvat
• 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 and Enkelejda Kasneci
• A Multi-View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics – Halim Acosta, Seung Lee, Daeun Hong, Wookhee Min, Bradford Mott, Cindy Hmelo-Silver and James Lester
• A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors – Juan Pinto and Luc Paquette
• 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 and Nigel Bosch
• Improving the Generalizability of Models of Collaborative Discourse – Chelsea Chandler, Rohit Raju, Jason G. Reitman, William R. Penuel, Monica Ko, Jeffrey B. Bush, Quentin Biddy and Sidney K. D’Mello
• Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information – Hyeongdon Moon, Richard Lee Davis, Seyed Parsa Neshaei and Pierre Dillenbourg
• The Half-Life of Epistemic Emotions: How Motivation Influences Affective Chronometry – Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Kirk Vanacore, Jordan Esiason and Jessica Vandenberg
• Nonstandard English and the Automated Scoring of Open-Ended Math Problems – Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil Heffernan and Eamon Worden
• 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 Martin and Tamara Sumner
• Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning – Anurata Hridi, Muntasir Hoq, Rajeev Sahay, Seyyedali Hosseinalipour, Zhikai Gao, Collin Lynch and Bita Akram
• Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems – Yanping Pei, Adam Sales, Hyeon-Ah Kang and Tiffany Whittaker
• Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations – Jiawei Li, Qianru Lyu, Wei Qiu and Andy W. H. Khong

Short Papers

• Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA – Conrad Borchers
• 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 and Owen Henkel
• Objective Metrics for Evaluating Large Language Models Using External Data Sources – Haoze Du, Richard Li and Ed Gehringer
• Assistant for the detection of potential cheating behavior in synchronous online programming exams – Francisco Ortin, Alonso Gago, Jose Quiroga and Miguel Garcia
• Integrated Curriculum Analytics: Bridging Structure, Pass Rates, and Student Outcomes – Ahmad Slim, Chaouki Abdallah, Elisha Allen and Ameer Slim
• Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback – Victor-Alexandru Pădurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny and Adish Singla
• Data-Knowledge-Driven Automatic Discovery of Teacher Classroom Teaching Behavior Indicator Categories – Ting Cai, Qingyuan Tang, Yu Xiong and Lu Zhang
• Natural Language-Driven Teacher Gesture Recognition – Yu Xiong, Shengyi Chen, Ting Cai, Lulu Chen and Jun Li
• 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 Frijters and Arthur Graesser
• What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks – Jesper Dannath, Alina Deriyeva and Benjamin Paassen
• Enhancing LLM-Based Constructed Response Analysis with RAG – Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik and Jiliang Tang
• srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML – Maciej Pankiewicz, Yang Shi and Ryan S. Baker
• One Model to Score Them All: Unified Scoring of Learning Strategies with LLMs – Andreea Dutulescu, Stefan Ruseti, Mihai Dascalu and Danielle Mcnamara
• Comparing Human and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns – Eric Rudolph, Philipp Steigerwald and Jens Albrecht
• Short answer grading with sentence similarity and a few given grades – Michel Desmarais, Arman Bakhtiari, Ovide Kuichua, Samira Chiny Folefack Temfack and Chahe Nerguizian
• A Holistic Recommendation System for Higher Education Academic Activities – Rafael Alves da Silva and Lucas Nascimento Ferreira
• Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop – Juliette Woodrow, Chris Piech and Sanmi Koyejo
• 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 and Stephen Fancsali
• Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing – Philip I. Pavlik Jr. and Luke Eglington
• Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? – Aylin Ozturk, Robin Schmucker, Tom Mitchell and Alper Tolga Kumtepe
• Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers – Kole Norberg, Husni Almoubayyed and Stephen Fancsali
• Understanding Predictive Models of Student Success with a Multiverse Analysis – Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, Rene Kizilcec and Christopher Brooks
• Multi-Stage Speaker Diarization for Noisy Classrooms – Ali Sartaz Khan, Tolulope Ogunremi, Ahmed Attia and Dorottya Demszky
• From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP – Seehee Park, Danielle Shariff, Mohammad Amin Samadi, Nia Nixon and Sidney D’Mello

Industry papers

• Practical Evaluation of Deep Knowledge Tracing Models for use in Learning Platforms – Bogdan Yamkovenko, Charles Hogg, Maya Miller-Vedam, Phillip Grimaldi and Walt Wells
• A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification – Mohammad Arif Ul Alam, Geeta Verma, Eumie Jhong, Justin Barber and Ashis Kumer Biswas
• Preserving the integrity of study behaviour in online retrieval practice using quantified learner dynamics – Maarten van der Velde, Malte Krambeer and Hedderik van Rijn

Posters & Demos

• Choosing to Learn: Achievement Goals, Immersion, and Competition in Non-Educational Gaming Contexts – Farshid Farzan, Israt Naiyer, Shaeekh Al Jahan and Brandon M Booth
• Implementation, Not Capabilities: How Chatbot Utilization Shapes Learners’ Navigation Patterns in MOOCs – Songhee Han, Hunhui Na and Chaewon Kim
• Extracting Causal Relations in Deep Knowledge Tracing – Kevin Hong, Kia Karbasi and Gregory Pottie
• Coping with ADHD in College: Topic Modeling and Sentiment Analysis of Online Peer Discussions on Reddit – Sihan Jian, Saptarshi Bhowmik and Bret Staudt Willet
• Visualization of Solution Processes to Reach the Correct Answer in Online Math Tests – Tomoki Takada, Saburo Higuchi and Yasuyuki Nakamura
• Building Explainable Recommender System for Engineering Students’ Work-Integrated Learning (WIL) – Woorin Hwang, Hongming Li, Anna Pauline Aguinalde, Yilin Zhang, Jinnie Shin, Kent Crippen and Bruce Carroll
• Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness – Arisha Khan, Nathaniel Li, Tori Shen and Anna Rafferty
• Does Student Learning Rate Depend on Feedback Type and Prior Knowledge? – Hendrik Fleischer, Arne Noglik, Conrad Borchers and Sascha Schanze
• Predicting Teacher Interventions in K-12 Classrooms Using Disengagement, Struggle and Help-Seeking – Qiao Jin, Conrad Borchers, Stephen Fancsali and Vincent Aleven
• Mining for Knowledge, Not Trouble: GDPR’s Impact on Educational Data Mining – Aytaj Ismayilzada, Mirka Saarela and Ayaz Karimov
• Generating Competitive Distractors from Student Error Data – Myrthe Braam, Maarten van der Velde and Hedderik van Rijn
• Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance – Kyosuke Takami, Satoshi Sekine and Yusuke Miyao
• Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers – Mark Kim, Shreyas Raghuraman, Arno Puder, Craig Hayward and Hui Yang
• LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data – Chaewon Kim, Fengfeng Ke, Nuodi Zhang and Alex Barrett
• 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 and Sanjay Sharma
• Multi-Agent Collaborative Framework For Math Problem Generation – Kia Karbasi, Kevin Hong, Mohammad Amin Samadi and Gregory Pottie
• On the Practicality of Differential Privacy for Knowledge Tracing – Anika Kabir, Chandan Tankala and Daniel Lowd
• Can GPT-4o Grade Algebra Worked Solution Responses? Evaluating an LLM-Based Autograder Against Human Grading. – Shreya Bhandari and Zach Pardos
• Effect estimates using publicly available school-level data in a cluster-randomized educational experiment – Adam Sales, Charlotte Mann, Johann Gagnon-Bartsch and Neil Heffernan