EDM Program Schedule

Please see the full Festival of Learning program schedule for information on all concurrent events.

For individual presentation times, please see the session information at the bottom of this page

Monday, June 29

9:25-10:15	EDM #1: Process Data & Cognition | North 202 (2nd Floor)
10:15-10:45	Coffee Break
10:45-12:00	EDM #2: Assessment Design | North 202 (2nd Floor)
12:00-14:00	Lunch
14:00-15:15	Opening & Local Keynote Speaker: Sooinn Lee | Co-founder & CEO, Enuma, Inc. | Auditorium
15:15-15:45	Coffee Break
15:45-17:00	EDM #3: Knowledge Tracing | North 202 (2nd Floor)		EDM #4: Synthetic Data & Privacy | North 210 (2nd Floor)		Panel Discussion | Auditorium
17:30-20:00	Reception | Grand Ballroom (1st Floor)

Tuesday, June 30

9:00-10:15	L@S Keynote Speaker: Ashok Goel | Georgia Institute of Technology | Auditorium
10:15-10:45	Coffee Break
10:45-12:00	EDM #5: Discourse and Inquiry | North 209 (2nd Floor)
12:00-14:00	Lunch
14:00-15:15	EDM #6: Classroom Dialogue | North 202 (2nd Floor)		Panel Discussion | Auditorium		EDM Doctoral Consortium | R2-Auditorium Meeting 2 (3rd Floor)
15:15-15:45	Coffee Break
15:45-17:00	EDM #7: Tutoring & Personalization | North 202 (2nd Floor)		EDM #8: Learning Trajectories & SRL | North 210 (2nd Floor)

Wednesday, July 1

9:00-10:15	EDM Keynote Speaker: Bongshin Lee | Yonsei University | Auditorium
10:15-10:45	Coffee Break
10:45-12:00	EDM #9: JEDM + IAALDE I | North 202 (2nd Floor)			EDM #10: Multimodal Analytics | North 210 (2nd Floor)
12:00-14:00	Lunch
14:00-15:15	EDM #11: AI Methods & Metrics | North 202 (2nd Floor)
15:15-15:45	Coffee Break
15:45-17:00	EDM Test of Time Award Panel Discussion | Auditorium

Thursday, July 2

9:00-10:15	AIED Keynote Speaker: Vincent Aleven | Carnegie Mellon University
10:15-10:45	Poster Session #1 | North 201-203 (2nd Floor)			Coffee Break
10:45-12:00				EDM #12: Automated Assessment | North 209 (2nd Floor)
12:00-14:00	Lunch
14:00-15:15	Poster Session #2 | North 201-203 (2nd Floor)			EDM #13: Prediction, Modeling, & Recommendation | North 209 (2nd Floor)
15:15-15:45				Coffee Break
15:45-17:00				EDM #14: Language & Reading Analytics | North 209 (2nd Floor)

Friday, July 3

9:00-10:15	EDM #15: JEDM + IAALDE II | North 202 (2nd Floor)			EDM #16: Industry Track | North 209 (2nd Floor)
10:15-10:45	Coffee Break
10:45-12:00	EDM #17: AI Evaluation in Math Learning | North 202 (2nd Floor)			Panel Discussion | Auditorium
12:00-14:00	Lunch
14:00-15:15	EDM #18: Student Modeling | North 202 (2nd Floor)			EDM #19: Programming & Learner Simulation | North 209 (2nd Floor)
15:15-15:45	Coffee Break
15:45-17:00	Closing | Auditorium

EDM Sessions and Presentations

EDM #1: Process Data & Cognition | Monday June 29 @9:25-10:15 | North 202 (2F)
@9:25 | Stability and Contextual Sensitivity of Keystroke Process Features in Longitudinal Student Writing Portfolios Damilola Babalola, Naga Buddarapu, Piotr Mitros, Paul Deane and Collin Lynch @9:50 | To What Extent Do Keystroke Dynamics Differentiate Correct from Incorrect Problem Solving Oscar Deho, Ryan Baker, Digory Smith and Simon Woodhead

EDM #2: Assessment Design | Monday June 29 @10:45-12:00 | North 202 (2F)

@10:45 | The Cognitive Cost of Poor Item Design: How Item-Writing Flaws Shape Response Time and Difficulty Across Assessment Domains Steven Moore @11:10 | Toward LLM-supported Automated Assessment of Critical Thinking Subskills Marisa Peczuh, Nischal Ashok Kumar, Ryan Baker, Blair Lehman, Danielle Eisenberg, Caitlin Mills, Payu Wittawatolarn, Kushaan Naskar, Keerthi Chebrolu, Sudhip Nashi, Cadence Young, Brayden Liu, Sherry Lachman and Andrew Lan @11:35 | Measuring Math or Mouse Skills? Behavioral Dimensions and Multiple Pathways to Test-Taking Efficiency in Computer-Based Testing Xinman Liu and Eunjung Myoung

EDM #3: Knowledge Tracing | Monday June 29 @15:45-17:00 | North 202 (2F)

@15:45 | Time as a geometric property of the latent space: An empirical study of Time-and-Order RoPE in Knowledge Tracing Willian Costa, Filipe Dwan Pereira, Gabriel Alves, André Nascimento, Luiz Rodrigues, Mario A. P. Santos, Tyagi M. Lima and Rafael Ferreira Mello @16:10 | Fair When Sparse, Accurate When Rich: RL-Gated Conversational Fusion for Temporally Equitable Knowledge Tracing Fan Zhang, Rui Guo and Hai Li @16:25 | Federated Code-Aware Knowledge Tracing for Privacy-Preserving Student Performance Forecasting Anurata Prabha Hridi, Muntasir Hoq, Seyyedali Hosseinalipour, Rajeev Sahay and Bita Akram @16:40 | To What Extent Can Early Keystroke Patterns Predict Knowledge Gain in Mathematics Oscar Deho, Ryan Baker, Digory Smith, Jiayi Zhang and Simon Woodhead

EDM #4: Synthetic Data & Privacy | Monday June 29 @15:45-17:00 | North 210 (2F)

@15:45 | Real Enough to Matter? Implications of Synthetic Data for Reproducible Learning Analytics Elena Tiukhova, Grzegorz Meller, Dimitri Van Landuyt, Tinne De Laet, Bart Baesens and Monique Snoeck @16:10 | Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick and Richard Baraniuk @16:35 | Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Zhuqian Zhou, Kirk Vanacore, Bakhtawar Ahtisham, Doug Pietrzak, Daryl Hedley, Jorge Dias, Jinsook Lee, René Kizilcec, Chris Shaw and Ruth Schäfer

EDM #5: Discourse and Inquiry | Tuesday, June 30 @10:45-12:00 | North 209 (2F)

@10:45 | LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse Bakhtawar Ahtisham, Kirk Vanacore, Zhuqian Zhou, Jinsook Lee and Rene F. Kizilcec @11:10 | Cross-Context Urgency Detection in MOOC Forums Shreya Singhal @11:25 | The Medium is the Message: How Lecture Q&A Channel Structure Shapes Student Questioning Meenakshi Mittal, Kaden Tang, Christopher Mach and Narges Norouzi @11:40 | Mining how curiosity spreads in student-led online discussions Farhan Ali

EDM #6: Classroom Dialogue | Tuesday, June 30 @14:00-15:15 | North 202 (2F)

@14:00 | Do interviews change participants’ behaviors?: Using log data to investigate student reactivity during data-driven classroom interview Hyeongjo Kim, Luc Paquette, Yiqiu Zhou, Qianhui Liu, Jaclyn Ocumpaugh, Andres Felipe Zambrano and Amanda Barany @14:25 | CantoTalk: Probing Teacher Expertise From Fine-Tuned Talk Move Representations Mayank Sharma, Xinman Liu and Gordon Yeung @14:50 | Leveraging Privileged Multimodal Data to Model Cognitive States in an Interactive Learning Platform Deniz Sonmez Unal, Theresa Mowad, Catherine Arrington, Erin Solovey and Erin Walker

EDM #7: Tutoring & Personalization | Tuesday, June 30 @15:45-17:00 | North 202 (2F)

@15:45 | The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics Ricky Gole and Jamell Dacon @16:10 | Personalization in Educational Data Mining and Learning Analytics: A Systematic Review (2015 – 2025) Sylvio Rüdian @16:35 | Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs Ashish Gurung, Ge Gao, Boyuan Guo, Alex Houk, Erin Gatz, Danielle R Thomas, Shivang Gupta, Lee Branstetter, Emma Brunskill, Vincent Aleven, Kenneth Koedinger and Jordan Gutterman

EDM #8: Learning Trajectories & SRL | Tuesday, June 30 @15:45-17:00 | North 210 (2F)

@15:45 | Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning Muntasir Hoq, Griffin Pitts, Tirth Bhatt, Aum Pandya, Andrew Lan, Peter Brusilovsky and Bita Akram @16:10 | Tracing Conceptual Overgeneralization in Middle School Students’ Reasoning about Quantum Randomness Jihyun Rho, Jiwon Kim, Zeynep G. Akdemir-Beveridge and Muhsin Menekse @16:25 | A Human-in-the-Loop Pipeline for Multi-Class SRL Classification Andreas Sebastian Kissmehl, Olga Viberg, Olov Engwall and Richard Lee Davis @16:40 | Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks Ali Mohammadiasl, Bita Akram, Seyyedali Hosseinalipour and Rajeev Sahay

EDM #9: JEDM + IAALDE I | Wednesday, July 1 @10:45-12:00 | North 202 (2F)

@10:45 | Seeing Is Solving: MLLMs, Reasoning, and Refusal in Visual Math | Invited JEDM Presentation Ethan Croteau and Neil Heffernan @11:10 | Using Bayesian Knowledge Tracing to Evaluate Perceptual Scaffolding and Desirable Difficulties in a Math Intervention | Invited JEDM Presentation Puyuan Zhang, Siddhartha Pradhan, Morgan Lee, Yanping Pei, Adam Sales and Erin Ottmar @11:35 | Understanding the Triggers and Dynamics of Socially Shared Metacognitive Regulation in Teams with Divergent Outcomes | ICCE 2025 Best Paper Award Winner Vishwas Badhe, Ramkumar Rajendran and Chandan Dasgupta

EDM #10: Multimodal Analytics | Wednesday, July 1 @10:45-12:00 | North 210 (2F)

@10:45 | MTBU-Bench: a Multimodal Benchmark for Evaluating Video-LLMs in Teacher Behavior Understanding Zhiyi Duan, Jiangshan Guan, Lei Gao and Qianli Xing @11:10 | TS-Interact: A Multimodal Dataset for Characterizing Classroom Teacher- and Student-Led Instructional Behaviors Weigang Lu, Yaoxuan Peng, Saisai Ye and Cunling Bian @11:25 | Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context Viet Anh Trinh, Xinlu He and Jacob Whitehill

EDM #11: AI Methods & Metrics | Wednesday, July 1 @14:00-15:15 | North 202 (2F)

@14:00 | No Single Metric Tells the Whole Story: Interpreting Multiple Pattern Mining Metrics Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Zhanlan Wei, Xiner Liu, Hyeongjo Kim, Qianhui Liu, Jeffrey Ginger, Luc Paquette and Amanda Barany @14:25 | Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan and Sebastian Simon @14:50 | Characterizing Students’ LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks Minju Park, Ivan Orozco Vasquez and Cristina Conati

EDM #12: Automated Assessment | Thursday, July 2 @10:45-12:00 | North 209 (2F)

@10:45 | Confusion-Aware Rubric Optimization for LLM-based Automated Grading Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin and Jiliang Tang @11:10 | A Three-GenAI Consensus Model for Deductive Analysis of Response Data Amruth Kumar, Renée McCauley, Bonnie MacKellar and Tammy Vandegrift @11:25 | From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin and Hui Liu @11:40 | Estimating IRT Parameters from Text via an ICC-Based Supervised and Contrastive Loss Yoshiki Hori, Takumi Itamiya, Iwao Tanuma and Emiko Yoshihara

EDM #13: Prediction, Modeling, & Recommendation | Thursday, July 2 @14:00-15:15 | North 209 (2F)

@14:00 | From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning Eric S. Qiu, Danielle R Thomas, Boyuan Guo, Vincent Aleven and Conrad Borchers @14:25 | An Ensemble Stacking with Perception-aware Meta-learning (ESPM) for Apprenticeship Dropout Prediction in France Duaa Baig, Diana Nurbakova, Sylvie Calabretto and Baba Mbaye @14:40 | Improved Power in a Reanalysis of an ASSISTments Efficacy Trial by Leveraging Auxiliary Data Adam Sales, Kevin Huang, Mingyu Feng and Johann Gagnon-Bartsch @14:55 | Augmenting Student Profiles and Course Attributes with Large Language Models for Course Recommendation Tianyuan Yang, Ren Baofeng, Chenghao Gu, Feike Xu, Boxuan Ma and Shinichi Konomi

EDM #14: Language & Reading Analytics | Thursday, July 2 @15:45-17:00 | North 209 (2F)

@15:45 | Engagement-Driven Differences in Acoustic Features During Online Reading Comprehension Conversations E. Margaret Perkoff, Megan Lyons, Alexandria Mulqueen, Ryan S. Baker, Alan Gee, Jaclyn Ocumpaugh, Adam Porsch, Neville Ryant, Julia Parish-Morris and Lyle Ungar @16:10 | Exploring Temporal Dynamics Underlying Eye Gaze, EEG, and Text Characteristics during Naturalistic Reading with Multi-Level Vector Autoregression Megan Caruso, Robert Moulder, Rosy Southwell and Sidney D’Mello @16:35 | What Do LIWC Features Capture in Multilingual Classroom Talk? A Systemic Functional Linguistic Analysis Kaycie Barron, Ananya Ganesh, Shamya Karumbaiah and Mariana Castro

EDM #15: JEDM, IAALDE, and More | Friday, July 3 @9:00-10:15 | North 202 (2F)

@9:00 | Personalizing Second Language Learning: Integrating AI with Learner Preference, Proficiency, and Engagement | Invited JEDM Presentation Alireza Gharahighehi, Pedro Ilídio, Sameh Said-Metwaly, Ann-Sophie Noreillie, Robbe D’hondt, Anaïs Tack, Felipe Kenji Nakano, Changsheng Chen, Ann Fastré, Lucy Van Kleunen, Helena Van Nuffel, Fien Depaepe, Wim Van Den Noortgate, Celine Vens, Piet Desmet and Frederik Cornillie @9:25 | Embracing Mess: Reflection on How We Engage with QE | ICQE 2025 Best Paper Award Winner Danielle P. Espino and Adaurennaya C. Onyewuenyi @9:50 | How Do Analytic Design Choices Shape MLLM-Based Detection of Non-Verbal Behaviors in 360° Classroom Video Yiqiu Zhou, Chris Palaguachi, Jina Kang, Luc Paquette, Noah Schroeder, Zhenhailong Wang and Yuji Zhang

EDM #16: Industry Track | Friday, July 3 @9:00-10:15 | North 209 (2F)

@9:00 | Early Prediction of Student Dropout in a Large-Scale Cram School Using Longitudinal Test Performance Data Masanori Yamada, Xuewang Geng, Ryosuke Oogushi, Kouki Nakao, Hiroyuki Iwashita, Koji Takano, Yuji Hirata, Masaki Miyazono, Hiroshi Kamio and Toshihide Tsutsui @9:25 | Assessing Early Literacy at Scale: Format Effects in Unsupervised Digital Assessment Harriet Crisp and Amar Lalwani @9:50 | Decoding Chinese Pinyin Keystrokes by Comparing Transcription and Composition Tasks Qizhi Xu, Zedi Lin, Zongting Ge, Mo Zhang and Mengxiao Zhu

EDM #17: AI Evaluation in Math Learning | Friday, July 3 @10:45-12:00 | North 202 (2F)

@10:45 | A Causal Framework for Estimating Local Effects of On-Demand Tutoring Kirk Vanacore, Danielle R Thomas, Digory Smith, Bibi Groot, Justin Reich and Rene Kizilcec @11:10 | Identifying Items on Which Humans and Chatbots Diverge Using Differential Item Functioning Licol Zeinfeld, Alona Strugatski, Ziva Bar-Dov, Ron Blonder, Shelley Rap and Giora Alexandron @11:25 | Multimodal LLM-based approach for detecting Disengagement from Task Goal (DTG) in Math problem solving Nidhi Nasiar, Ryan S. Baker, Jaclyn Ocumpaugh, Zeyneb S. Sarioglan, Caitlin Mills and Samuel Rhodes @11:40 | Simulating Learners’ Task-Selection Strategies and System Constraints in Mastery Learning Haley Noh, Aarna Chowdhary, Jeroen Ooge, Vincent Aleven and Conrad Borchers

EDM #18: Student Modeling | Friday, July 3 @14:00-15:15 | North 202 (2F)

@14:00 | UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Carson Cook, Ahmed Zerouali, Anthony Schmidt, Reginald Ziedzor, Paul Lin and Luke Eglington @14:25 | A New Domain-Informed Learner Model with Uncertainty-Aware Knowledge Mastery Propagation Rania Ait Chabane, Armelle Brun and Azim Roussanaly @14:50 | Multi-dimensional Trajectories of Expertise in Engineering: Perspective from Epistemic Frame Theory Amit Paikrao, Vishwas Badhe, Indrayani Nishane, Jyoti Shaha, Ramkumar Rajendran and Ritayan Mitra

EDM #19: Programming & Learner Simulation | Friday, July 3 @14:00-15:15 | North 209 (2F)

@14:00 | A Psychometric Framework for Context-Conditional Evaluation of LLM Tutoring in Programming Education Jinnie Shin, Zhe Li, Pauline Aguinalde and Laura Cruz Castro @14:25 | Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation Charles Koutcheme, Juho Leinonen and Arto Hellas @14:40 | Simulating Students’ Java Programming Errors with Large Language Models Ali Keramati, Jie Cao, Iman Mohammadi, Mark Warschauer and Yang Shi @14:55 | Multimodal Learning Analytics for Programming: Cognitive Difficulties, Attention Dynamics, and Physiological Regulation Huiyong Li and Boxuan Ma

Poster Session 1 | Thursday, July 2 @10:15-13:15 | North 201-203 (2F)

C1 | Multi-Feature Knowledge Tracing with Time-Series Interpretability for Mathematics Teacher Micro-Credentials Hai Li and Chenglu Li C2 | From Tool to Teammate: LLM Coding Agents as Collaborative Partners for Behavioral Labeling in Educational Dialogue Analysis Eason Chen, Yumo Wang, Mingyu Yuan, Sophia Judicke, Kayla Beigh and Xinyi Tang C3 | Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on a Math Textbook Eason Chen, Chuangji Li, Shizhuo Li, Zimo Xiao, Jionghao Lin and Ken Koedinger C4 | Bias in MOOC Completion Prediction: A Fairness Analysis Across African Countries and Socio-Economic Contexts Jade Mai Cock, Sébastien Lallé, Mélina Verger and François Bouchet C5 | Divergent Patterns of Attention and Exploratory Behavior Under Increasing Task Difficulty in an XR Diagnostic Kukhyeon Kim and Jeeheon Ryu C6 | PIAS: Transparent Multimodal Assessment of Presentation Delivery Nina Hosseini-Kivanani, Nafiseh Taghva and Oliver Niebuhr C7 | Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs Prarthana Bhattacharyya, Joshua Mitton, Ralph Abboud and Simon Woodhead C8 | Who Benefits from Looking-for-Team Forums? Examining Expert-Novice Differences in Online Team Formation Ran Bi and Shiyao Wei C10 | Examining Problem Solving in Computational Thinking Activities in Minecraft Samuel Hum, Chris Palaguachi, Kobe Duda, Jeff Ginger and H. Chad Lane C11 | Positive or Negative? Exploring Graph-based Augmentation for Contrastive Learning in Knowledge Tracing Soobin Ahn, Shinyoung Lee, Lee Hyojun and Shin Insub C12 | Do Online Quiz-Taking Behaviors Matter? An Event-Level Log Analysis in Computer Science Courses Steve Geinitz C13 | Predicting Disagreement with Human Raters in LLM-as-a-Judge Difficulty Assessment without Using Generation-Time Probability Signals Yo Ehara C14 | Evaluating Private Training in Educational Prediction Beyond Utility and Privacy Audit Xianghui Meng, Yujing Zhang, Xian Chen and Jionghao Li C16 | Identifying Learning Progression Profiles in a Psychomotor Task Using Sequence Clustering Emily Jensen C17 | Investigating Patterns of Iterative Code Changes in the VEXcode VR environment by Combining Heuristic Pat-terns with Hidden Markov Modeling Hyeongjo Kim, Luc Paquette and Jennie Lee C18 | Process-Level Analysis of Block-Based Robotics Programming Using Markov Chains Liljana Puskar, Leon Stjepan Uroic and Ana Sovic Krzic D1 | MCAR-IITA: A Procedure for Identifying Structures among Items from Incomplete Data Peter Steiner, Aliaksei Badnarchuk, Debora De Chiusole, Milan Segedinac, Goran Savić, Luca Stefanutti and Jan Hochweber D2 | Beyond Idealized Cooperation: Epistemic Noise in Collaborative Problem Solving Videep Venkatesha, Ethan Seefried, Changsoo Jung and Nathaniel Blanchard D3 | Unsupervised Anomaly Detection of Learning Behaviors Considering Contextual Information Yoshihiro Yasuda, Takayoshi Yamashita, Tsubasa Hirakawa and Hironobu Fujiyoshi D4 | Measuring Feature-Level Changes in Preprocessing Unfairness Mitigation Hanning Lin and Frank Stinar D6 | Constrained Multimodal Neural Networks for Interpretable Adaptation Rule Extraction in Game-Based Learning Ange Tato and Roger Nkambou D7 | Permutation-Based Significance Testing for Temporal Sequential Patterns in Learning Event Logs Tianwei Peng, Jinwang Song, Sijing Yu, Sijie Zhang and Yingbin Zhang D9 | The “Easy Trap”: Why LLMs Underestimate Misconception-Driven Difficulty Amanda La Hadi, Johan Alibasa, Guanliang Chen and A. Taufiq Asyhari D8 | Mining the Sequential Dependencies in Learning Events with a Self-Attentive Hawkes Process Sijing Yu, Tianwei Peng, Sijie Zhang, Zengcan Xue, Su Mu and Yingbin Zhang D10 | MetaPal: A New Paradigm for Human-Computer Interaction — From Command Response to Emotional Empathy Hui Shao, Zizhuo Wu, Jing Chen, Shiyu Wang, Jiaqi Song and Yan Wang D11 | Enhancing Diversity of LLM-Generated Educational Tasks Manh Hung Nguyen, Sebastian Tschiatschek and Adish Singla

Poster Session 2 | Thursday, July 2 @14:00-17:00 | North 201-203 (2F)

C10 | Temporal Clustering of Flight Simulator Data for Learner Profiling: A Methodological Comparison Cheker Neffati, Ange Adrienne Nyamen Tato, Georges Ghazi and Hakim Trachet C11 | A demonstration of the Quick Red Fox (QRF) system: An application for conducting Data-Driven Classroom inter-views Luc Paquette and Jaclyn Ocumpaugh C12 | Scalable Argumentative Writing Support: The Efficacy of Small Open-Source Models in K-12 Writing Instruction Venkata Nagaraju Buddarapu, Collin Lynch and Damilola Babalola C13 | Accounting for Classroom Effects in Student-Level Randomized Online Experiments: The Ordered LOOP Estimator Yanping Pei, Adam Sales and Johann Gagnon-Bartsch C14 | When the Finish Line Moves: Immediate Corrective Practice and Implications for Design in Digital Math Learning Wen Chiang Lim, Yanping Pei, Adam Sales and Neil Heffernan C15 | Automating Literature Screening with Multi-Agent Consensus Seeking: A Preliminary Study Deliang Wang, Xian Chen, Joy Yu and Gaowei Chen C16 | Simulating Programming Traces and State Spaces for Hint Generation Jesper Dannath and Benjamin Paaßen C17 | PedRAG: Do LLM Tutors Practice What They Preach? Preventing Behavioral Hallucinations through Theory-Grounded Runtime Control Roger Nkambou, Esperance Nfor and Daril Kengne C18 | Prompt Sensitivity in LLM-Based Essay Scoring is Model-Specific Giulio Corsi, Alexandru Marcoci, Maryam Abo-Tabik, Georgiana Thorpe Apreutesei, Lyba Razzaq, Roni Tibon, Yael Benn and Deborah Talmi D1 | Cognitive and Metacognitive Process Differences in High and Low Writing Performers: A Trace-Based SRL Analysis of Web Log Data Hyeeun Kim, Minju Kang, Jeongyun Han and Young Hoan Cho D2 | Does Math Reason the Same Across Languages? Prompting Trade-offs in Multilingual Math Support Louis Alfred Antoine Colbus, Christoph Schommer and Nina Hosseini-Kivanani D3 | Enhanced Student Engagement through Supervised Assessment: Evidence from Kenya Amar Lalwani, Aidan Frieberg, Pedro Freitas, Guillermo Romero, Sharnic Djaker and Noam Angrist D4 | Separating Math Errors from Language Barriers: The AI Whisperer Effect in Cross-Lingual Knowledge Tracing Mario Pureco-Razo and Maria Ceron-Ponce D5 | Explicit and Deterministic Process-Aware Assessment of Complex Student-Produced Artifacts Pasquale Ardimento and Nicola Boffoli D6 | Toward a Cyclic Evidence–Task Design Framework: A Preliminary Study of Generating Formative Scaffolding Tasks from Solution Logs with a Large Language Model Yoonji Song, Insub Shin and Yunjoo Yoo D7 | Predicting Student Success in Higher Education Using an Ontology-Enhanced Learning Analytics Framework on OULAD Ben Khalifa Ghada D8 | Detecting Self-Reported Cognitive-Affective States in Collaborative Problem Solving from Prosodic and Linguistic Features Videep Venkatesha, Sifatul Anindho and Nathaniel Blanchard D9 | Vizart: A Multimodal LLM System to support visual learning Susanna Atanessian and Narges Norouzi D10 | Extracting Curriculum Rules: Formal Modelling of the Study Entry and Orientation Phase Selina Reinhard, Tom Breuer and René Röpke D11 | Coordination Regimes in Student–GenAI Interaction: The Integration Trap and Toward Enactment-Aware Scaffolding Fangwei Lin, Mengchen Zhang, Zhihan Guo, Long Zhang and Khe Foon Hew D12 | Would a Brief Explanation Immediately Help? Investigating Causal Effects of Students’ Help-Seeking in Math Shan Zhang, Eamon Worden, Walter Leite, Neil T. Heffernan and Anthony F. Botelho