Table of Contents

• Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet CountriesAyaz Karimov, Mirka Saarela, Tommi Kärkkäinen. [doi]
• Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent TutorsBlake Castleman, Mehmet Kerem Türkcan. [doi]
• Parametric Constraints for Bayesian Knowledge Tracing from First PrinciplesDenis Shchepakin, Sreecharan Sankaranarayanan, Dawn Zimmaro. [doi]
• Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small ProblemsMehmet Arif Demirtas, Max Fowler, Kathryn Cunningham. [doi]
• Optimizing Human Learning using Reinforcement LearningSamuel Girard, Jill-Jênn Vie, Françoise Tort, Amel Bouzeghoub. [doi]
• De-Identifying Student Personally Identifying Information with GPT-4Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker 0001. [doi]
• Comparing Clustering Methods in Group-level Test Collusion DetectionLuyao Peng. [doi]
• Non-Overlapping Leave Future Out Validation (NOLFO): Implications for Graduation PredictionLief Esbenshade, Jonathan Vitale, Ryan S. Baker 0001. [doi]
• GPT vs. Llama2: Which Comes Closer to Human Writing?Fernando Martinez, Gary M. Weiss, Miguel Palma, Haoran Xue, Alexander Borelli, Yijun Zhao. [doi]
• Automated Assessment in Math Education: A Comparative Analysis of LLMs for Open-Ended ResponsesSami Baral, Eamon Worden, Wen-Chiang Lim, Zhuang Luo, Christopher Santorelli, Ashish Gurung. [doi]
• The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in MathSeiyon M. Lee, Anthony F. Botelho. [doi]
• A page jump recommendation model and result interpretation based on structured annotation methodsWenhao Wang, Etsuko Kumamoto, Chengjiu Yin. [doi]
• Examining the Algorithmic Fairness in Predicting High School DropoutsChenguang Pan, Zhou Zhang. [doi]
• Math Multiple Choice Question Generation via Human-Large Language Model CollaborationJaewook Lee 0006, Digory Smith, Simon Woodhead 0002, Andrew S. Lan. [doi]
• Same Learning Platform, Different Types of Research: A National-Level AnalysisNidhi Nasiar, Ryan S. Baker 0001, Juliana. Ma. Alexandra L. Andres, Namrata Srivastava. [doi]
• Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMsBahar Radmehr, Adish Singla, Tanja Käser. [doi]
• Early Prediction of Student Dropout in Higher Education using Machine Learning ModelsOr Goren, Liron Cohen 0003, Amir Rubinstein. [doi]
• Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring SystemSutapa Dey Tithi, Behrooz Mostafavi, Arun Kumar Ramesh, Tiffany Barnes. [doi]
• Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGsLea Cohausz. [doi]
• Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums' Social-Temporal DynamicsNidia Guadalupe López Flores, Víctor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir. [doi]
• Analyzing Large Language Models for Classroom Discussion AssessmentNhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura. [doi]
• Relation of Linguistic Indicators to Civic Engagement in Special EducationChak Li, Scott Crossley, Meghan Burke, Zach Rossetti. [doi]
• Grading and Clustering Student Programs That Produce Probabilistic OutputYunsung Kim, Jadon Geathers, Chris Piech. [doi]
• Interpreting Latent Student Knowledge Representations in Programming AssignmentsNigel Fernandez, Andrew Lan. [doi]
• Automatic Matchmaking in Two-Versus-Two SportsSören Rüttgers, Ulrike Kuhl, Benjamin Paaßen. [doi]
• Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior DataZifeng Liu, Xinyue Jiao, Chenglu Li, Wanli Xing. [doi]
• Predicting Response Time of Questions Using Linear Mixed-effects ModelLuyao Peng. [doi]
• Uncovering the Evolution of Topics about AI Painting: Dynamic Topic Modeling of 180k Discourse Data in an Online CommunityShiyao Wei, Ran Bi. [doi]
• The Construction and Analysis of Course Grades Across Public UniversitiesHyun Jeong, Gary M. Weiss, Audrey Leung, Daniel D. Leeds. [doi]
• Phone Use While ProgrammingKaden Hart, Christopher M. Warren, Seth Poulsen, John Edwards 0002. [doi]
• What metrics of participation balance predict outcomes of collaborative learning with a robot?Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison. [doi]
• Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions?Jiani Wang, Shiran Dudy, Xinlu He, Zhiyong Wang, Rosy Southwell, Jacob Whitehill. [doi]
• Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher EducationConrad Borchers, Yinuo Xu, Zachary A. Pardos. [doi]
• Beyond Accuracy: Embracing Meaningful Parameters in Educational Data MiningNapol Rachatasumrit, Paulo Carvalho 0004, Kenneth R. Koedinger. [doi]
• Navigating the Sky Together: Investigating Collaboration Dynamics through Annotation in an Immersive Learning EnvironmentYiqiu Zhou, Philo Wang, Jina Kang. [doi]
• Boosting Precision in Educational A/B Tests Using Auxiliary Information and Design-Based EstimatorsYanping Pei, Adam Sales, Johann Gagnon-Bartsch. [doi]
• Social Network and Self-representation in Megathread: Group Formation in a Data Science Crowdsourcing CommunityShiyao Wei, Ran Bi. [doi]
• Power Calculations for Randomized Controlled Trials with Auxiliary Observational DataJaylin Lowe, Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch. [doi]
• Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial IntelligencePamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano 0001, Rebeca Cerezo, Cristóbal Romero 0001. [doi]
• Open Science and Educational Data Mining: Which Practices Matter Most?Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks 0001, Namrata Srivastava, Caitlin Mills 0001. [doi]
• Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning EnvironmentsCelestine E. Akpanoko, Ashwin T. S., Grayson Cordell, Gautam Biswas. [doi]
• Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTmentsAswani Yaramala, Soheila Farokhi, Hamid Karimi. [doi]
• Prioritizing the Indicators of Effective Inclusive Education Assessment Framework using TOPSIS Analysis for children with Disabilities: A Case of DelhiUmesh Kumar, Haimanti Banerji. [doi]
• Supporting Theory Building in Design-Based Research through Large Scale Data-Based ModelsGolnaz Arastoopour Irgens, Ibrahim Oluwajoba Adisa, Deepika Sistla, Tolulope Famaye, Cinamon Bailey, Atefeh Behboudi, Adenike Omolara Adefisayo. [doi]
• Causal Inference in Educational Data MiningAnthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore. [doi]
• On Assessing the Faithfulness of LLM-generated Feedback on Student AssignmentsQinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer. [doi]
• A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical StrategiesMd Mirajul Islam, Xi Yang 0019, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi. [doi]
• Intrinsically Interpretable Artificial Neural Networks for Learner ModelingJuan D. Pinto, Luc Paquette, Nigel Bosch. [doi]
• Cultural Diversity in Team Conversations: A Deep Dive into its Effects on Cohesion and Team PerformanceMohammad Amin Samadi, Nia Nixon. [doi]
• Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy TrialCharlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch. [doi]
• How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMsAndreea-Nicoleta Dutulescu, Stefan Ruseti, Mihai Dascalu, Danielle McNamara. [doi]
• Explainability in Educational Data Mining and Learning Analytics: An Umbrella ReviewSachini Gunasekara, Mirka Saarela. [doi]
• Introduction to the Proceedings [doi]
• Generative AI for Peer Assessment Helpfulness EvaluationChengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer. [doi]
• Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational AlgorithmsJade Maï Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis, Tanja Käser. [doi]
• LOOL: Towards Personalization with Flexible \& Robust Estimation of Heterogeneous Treatment EffectsDuy M. Pham, Kirk P. Vanacore, Adam C. Sales, Johann Gagnon-Bartsch. [doi]
• Predicting Cognitive Load Using Sensor Data in a Literacy GameMinghao Cai, Carrie Demmans Epp. [doi]
• On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural SolverYiyao Li, Lu Wang, Jung-jae Kim, Chor Seng Tan, Ye Luo. [doi]
• Tools for Planning and Analyzing Randomized Controlled Trials and A/B TestsAdam C. Sales, Johann A. Gagnon-Bartsch, Duy M. Pham. [doi]
• Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code GenerationMuhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor, Hamid Karimi. [doi]
• Mining Epistemic Actions of Programming Problem Solving with Chat-GPTRwitajit Majumdar, Prajish Prasad, Aamod Sane. [doi]
• Investigating Student Ratings with Features of Automatically Generated Questions: A Large-Scale Analysis using Data from Natural Learning ContextsBenny G. Johnson, Jeffrey S. Dittel, Rachel Van Campenhout. [doi]
• Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom ObservationsJessica Boyle, Scott A. Crossley. [doi]
• Identifying Off-Task Users in a Large-Scale, Game-Based Practice AssessmentMatthew A. Emery, David Laing, Philip Simmons, Jacob Seybert, Katrina Yu, Erica L. Snow, Jack Buckley. [doi]
• Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection AnalysisYiqiu Zhou, Luc Paquette. [doi]
• Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov ModelsParas Sharma, Angela E. B. Stewart, Qichang Li, Krit Ravichander, Erin Walker. [doi]
• Plagiarism Detection Using Keystroke LogsScott A. Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes, Wesley Morris. [doi]
• Tracking Classroom Movement Patterns with Person Re-IDXinlu He, Jiani Wang, Viet Anh Trinh, Andrew A. McReynolds, Jacob Whitehill. [doi]
• Automated Scoring of Students' Annotations When Learning from Multiple TextsAlexandra List. [doi]
• Educational Data Mining in Writing and Literacy InstructionCollin Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola. [doi]
• SingPAD: A Knowledge Tracing Dataset Based on Music Performance AssessmentYing Zhang, Yan Zhang, Wei Xu, Zhifeng Wang, Jianwen Sun. [doi]
• Auditing an Automatic Grading Model with deep Reinforcement LearningAubrey Condor, Zachary A. Pardos. [doi]
• Replicating an "Astonishing Regularity in Student Learning Rate"Mary Ann Simpson, Kole A. Norberg, Stephen E. Fancsali. [doi]
• Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student AssessmentsBoris Thome, Friederike Hertweck, Stefan Conrad 0001. [doi]
• Says Who? How different ground truth measures of emotion impact student affective modelingAndres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang 0004, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt. [doi]
• Feeling the Difficulty of MathematicsBledar Fazlija. [doi]
• This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly PracticesHongming Li, Seiyon Lee, Anthony F. Botelho. [doi]
• Predicting GRE Scores from Application Materials in Test-Optional AdmissionsYijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang, Gary M. Weiss. [doi]
• Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based LearningHalim Acosta, Seung Y. Lee, Bradford W. Mott, Haesol Bae, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester. [doi]
• Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment ApplicationsSubhankar Maity, Aniket Deroy, Sudeshna Sarkar. [doi]
• How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?Subhankar Maity, Aniket Deroy, Sudeshna Sarkar. [doi]
• An Evaluation of a Placement Assessment for an Adaptive Learning SystemJeffrey Matayoshi, Eric Cosyn, Christopher Lechuga, Hasan Uzun. [doi]
• Deductive Coding's Role in AI vs. Human PerformanceJeanne McClure, Daria Smyslova, Amanda Hall, Shiyan Jiang. [doi]
• Designing Simulated Students to Emulate Learner Activity Data in an Open-Ended Learning EnvironmentParas Sharma, Qichang Li. [doi]
• Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Features Captured Using Traditional vs 360-Degree Cameras in Collaborative LearningRobin Jephthah Rajarathinam, Christian Palaguachi, Jina Kang. [doi]
• 8th Educational Data Mining in Computer Science Education (CSEDM) WorkshopYang Shi 0004, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen 0001, Kenneth R. Koedinger, Andrew S. Lan. [doi]
• Complex Conversations: LLM vs. Knowledge Engineering Conversation-based AssessmentCarol M. Forsyth, Diego Zapata-Rivera, Edith Aurora Graf, Yang Jiang. [doi]
• Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational ArtifactsXiaoyi Tian, Amogh Mannekote, Carly E. Solomon, Yukyeong Song, Christine Fry Wise, Tom McKlin, Joanne Barrett, Kristy Elizabeth Boyer, Maya Israel. [doi]
• Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention WeightsMasaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi. [doi]
• Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 CourseZhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin F. Lynch, Sarah Heckman. [doi]
• Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring?Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger, Vincent Aleven. [doi]
• Uncertainty-preserving deep knowledge tracing with state-space modelsS. Thomas Christie, Carson Cook, Anna N. Rafferty. [doi]
• How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended ResponsesJionghao Lin, Eason Chen, Zifei FeiFei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger. [doi]
• A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge GraphsThomas Trask, Dr. Nick Lytle, Michael Boyle, David Joyner, Ahmed Mubarak. [doi]
• Human-Centric eXplainable AI in Education (HEXED) WorkshopJuan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz. [doi]
• More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy InductionGyuhun Jung, Markel Sanz Ausin, Tiffany Barnes, Min Chi. [doi]
• Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?Hunter McNichols, Jaewook Lee 0006, Stephen Fancsali, Steve Ritter 0001, Andrew S. Lan. [doi]
• The Cleaned Repository of Annotated Personally Identifiable InformationLangdon Holmes, Scott A. Crossley, Jiahe Wang, Weixuan Zhang. [doi]
• Propositional Extraction from Natural Speech in Small Group Collaborative TasksVideep Venkatesha, Abhijnan Nath, Ibrahim Khebour, Avyakta Chelle, Mariah Bradford, Jingxuan Tu, James Pustejovsky, Nathaniel Blanchard, Nikhil Krishnaswamy. [doi]
• Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential EssaysMohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Kumer Biswas, Justin Barbern. [doi]
• Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category LearningMeng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang. [doi]
• E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book SystemsYuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada. [doi]
• Principals' use of data analytics in Finnish schoolsAyaz Karimov, Mirka Saarela, Tommi Kärkkäinen, Sabina Aghayeva. [doi]
• Building Predictive Models for CS Students Help-Seeking Behaviors with Coding Log DataZhikai Gao, Collin Lynch. [doi]
• EduQuest: Lecture Texts and Questions for Higher EducationOliver Holl, Filipe Szolnoky Cunha, David Streuli, Timothé Laborie. [doi]
• Developing Explainable AI Systems to Support Feedback for StudentsHongming Li, Anthony F. Botelho. [doi]
• FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysisS. Thomas Christie, Baptiste Moreau-Pernet, Yu Tian, John Whitmer. [doi]
• Generating Feedback-Ladders for Logical Errors in Programming using Large Language ModelsHasnain Heickal, Andrew Lan. [doi]
• Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and ContainersAaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan. [doi]
• Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino StudentsValdemar Svábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker 0001, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé, Atsushi Shimada. [doi]
• Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language LearningElena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser. [doi]
• Multimodal, Multi-Class Bias Mitigation for Predicting Speaker ConfidenceAndrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar, Chee Wee Leong. [doi]
• Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud ProtocolsJiayi Zhang 0004, Conrad Borchers, Vincent Aleven, Ryan S. Baker 0001. [doi]
• Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom DialogAnanya Ganesh, Chelsea Chandler, Sidney D'Mello, Martha Palmer, Katharina Kann. [doi]
• Evaluating and Optimizing Educational Content with Large Language Model JudgmentsJoy He-Yueya, Noah D. Goodman, Emma Brunskill. [doi]
• Problem-Solving Behavior and EdTech Effectiveness: A Model for Exploratory Causal AnalysisAdam C. Sales, Kirk P. Vanacore, Hyeon-Ah Kang, Tiffany A. Whittaker. [doi]
• Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning EnvironmentsHongming Li, Shan Zhang, Seiyon Lee, Ji-eun Lee, Zirui Zhong, Erik Weitnauer, Anthony F. Botelho. [doi]
• DISTO: Textual Distractors for Multiple Choice Reading Comprehension Questions using Negative SamplingBilal Ghanem, Alona Fyshe. [doi]
• Beyond Tutor Logs: Utilizing sensor data for measuring student behaviorDavid G. Cooper. [doi]
• How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent TutorNazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes. [doi]
• Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in ProgrammingYang Shi 0004, Min Chi, Tiffany Barnes, Thomas W. Price. [doi]
• Be back in 5 minutes: Exploring correlations between short breaks with student performanceYu-Chia Kao, Anthony Botelho. [doi]
• Logistic Knowledge Tracing Tutorial: Practical Educational ApplicationsPhilip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu. [doi]
• Identifying and Evaluating Novel Knowledge Component Models for Programming SkillsMehmet Arif Demirtas. [doi]
• Exploring Simultaneous Knowledge and Behavior TracingSiqian Zhao, Sherry Sahebi. [doi]
• Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep LearningTianyuan Yang, Baofeng Ren, Boxuan Ma, Md Akib Zabed Khan, Tianjia He, Shin'ichi Konomi. [doi]
• When Chatting Isn't Cheating: Mining and Evaluating Student Use of Chatbots and Other Resources During Open-Internet ExamsDavid Joyner, Zoey Anne Beda, Michael Cohen, Melanie Duffin, Amy Garcia Fernandez, Liz Hayes-Golding, Jonathan Hildreth, Alex Houk, Rebecca Johnson, Kayla Matchek, Ana Santos. [doi]
• Towards Modeling Learner Performance with Large Language ModelsSeyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser. [doi]
• Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceOwen Henkel, Zachary Levonian, Chenglu Li, Millie-Ellen Postle. [doi]
• Leveraging Large Language Models for Next-Generation Educational TechnologiesNeil T. Heffernan, Rose Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden. [doi]
• From Reaction to Anticipation: Predicting Future AffectAndres Felipe Zambrano, Ryan S. Baker 0001, Sami Baral, Neil T. Heffernan, Andrew S. Lan. [doi]
• Tailored analysis of dropout in UBA distance postgraduate courses: first resultsAntonio R. Anaya, Pablo M. Gómez, Ariel Lutenberg. [doi]
• An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle GameJing Zhang, Luc Paquette. [doi]
• LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and InstructorsQinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer. [doi]
• Investigating the Dynamic Change of Pre- and In-service Teachers' Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic ModelingShan Zhang, Hai Li, Hongming Li, Anthony F. Botelho, Maya Israel. [doi]
• Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual ProgrammingManh-Hung Nguyen, Sebastian Tschiatschek, Adish Singla. [doi]