Table of Contents

• Data Efficient Machine Learning for Educational Content CreationGanesh Ramakrishnan, Ayush Maheshwari. [doi]
• Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course ConceptsYo Ehara. [doi]
• Analyzing the impact of metacognition prompts on learning in CBLEJyoti Shaha, Ramkumar Rajendran. [doi]
• "Can we reach agreement?": A context- and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative feedbackM. Parvez Rashid, Divyang Doshi, Sai Venkata Vinay, Qinjin Jia, Edward F. Gehringer. [doi]
• Early Prediction of Student Performance in a Health Data Science MOOCNarjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki. [doi]
• Investigating teams' Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environmentVishwas Badhe, Chandan Dasgupta, Ramkumar Rajendran. [doi]
• The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communitiesAyaz Karimov, Mirka Saarela, Tommi Kärkkäinen. [doi]
• Effective Evaluation of Online Learning Interventions with Surrogate MeasuresEthan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan. [doi]
• Towards Automated Assessment of Scientific Explanations in Turkish using Language TransferTanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron. [doi]
• Clustering to define interview participants for analyzing student feedback: a case of Legends of LearningAyaz Karimov, Mirka Saarela, Tommi Kärkkäinen. [doi]
• How to Open Science: Debugging Reproducibility within the Educational Data Mining ConferenceAaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan. [doi]
• Discovering prerequisite relationships between knowledge components from an interpretable learner modelOlivier Allègre, Amel Yessad, Vanda Luengo. [doi]
• Auto-scoring Student Responses with Images in MathematicsSami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan. [doi]
• An Analysis of Diffusion of Teacher-curated Resources on PinterestHamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank. [doi]
• Can ChatGPT Detect Student Talk Moves in Classroom Discourse? A Preliminary Comparison with BertDeLiang Wang, Dapeng Shan, Yaqian Zheng, Kai Guo, Gaowei Chen, Yu Lu 0003. [doi]
• Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion ForumsHarshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon. [doi]
• Course Concepts: How Readable Are They for ESL Learners?Yo Ehara. [doi]
• Tool Usage and Efficiency in an Online TestGyanesh Jain, Aditya Sharma, Nirmal Patel, Amit Anil Nanavati. [doi]
• Mining Detailed Course Transaction Records for Semantic InformationYinuo Xu, Zachary A. Pardos. [doi]
• Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response DataBrad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron. [doi]
• Response Process Data in Educational and Psychological Assessment: A Scoping Review of Empirical StudiesGuanyu Chen, Yan Liu. [doi]
• Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic TutorPreya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes. [doi]
• Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms LayoutsTianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven. [doi]
• Analyzing Team Cognition and Combined Efficacy In Makerspaces Using Multimodal DataK. Nisumba Soodhani. [doi]
• Learning through Wikipedia and Generative AI TechnologiesPraveen Garimella, Vasudeva Varma. [doi]
• The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time FluctuationWei Chu, Philip I. Pavlik Jr.. [doi]
• A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing TasksDebarshi Nath, Dragan Gasevic, Ramkumar Rajendran. [doi]
• Partner Keystrokes can Predict Attentional States during Chat-based ConversationsVishal Kiran Kuvar, Lauren E. Flynn, Laura K. Allen, Caitlin Mills 0001. [doi]
• Timing Matters: Inferring Educational Twitter Community Switching from Membership CharacteristicsConrad Borchers, Lennart Klein, Hayden Johnson, Christian Fischer 0007. [doi]
• To speak or not to speak, and what to speak, when doing task actions collaborativelyJauwairia Nasir, Aditi Kothiyal, Haoyu Sheng, Pierre Dillenbourg. [doi]
• Exploring the effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill ModelingBoxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui, Yuji Ando. [doi]
• Generalizing Predictive Models of Reading Ability in Adaptive Mathematics SoftwareHusni Almoubayyed, Stephen Fancsali, Steven Ritter 0001. [doi]
• Investigating the Importance of Demographic Features for EDM-PredictionsLea Cohausz, Andrej Tschalzev, Christian Bartelt, Heiner Stuckenschmidt. [doi]
• In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation VideosZilin Dai, Andrew A. McReynolds, Jacob Whitehill. [doi]
• Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming CourseMuntasir Hoq, Peter Brusilovsky, Bita Akram. [doi]
• Understanding Revision Behavior in Adaptive Writing Support Systems for EducationLuca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser. [doi]
• A Data Mining Approach for Detecting Collusion in Unproctored Online ExamsJanine Langebein, Till Massing, Jens Klenke, Michael Striewe, Michael Goedicke, Christoph Hanck, Natalie Reckmann. [doi]
• Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student ModelsMélina Verger, Sébastien Lallé, François Bouchet, Vanda Luengo. [doi]
• Self-Assessment Task Processing Behavior of Students in Higher EducationRegina Kasakowskij, Jörg M. Haake, Niels Seidel. [doi]
• Automated Search for Logistic Knowledge Tracing ModelsPhilip I. Pavlik Jr., Luke G. Eglington. [doi]
• Knowledge Tracing Over Time: A Longitudinal AnalysisMorgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan. [doi]
• Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational DataAnup Shakya, Vasile Rus, Deepak Venugopal. [doi]
• Pre-selecting Text Snippets to provide formative Feedback in Online LearningSylvio Rüdian, Clara Schumacher, Jakub Kuzilek, Niels Pinkwart. [doi]
• Predicting Bug Fix Time in Students' Programming with Deep Language ModelsStav Tsabari, Avi Segal, Kobi Gal. [doi]
• Session-based Course Recommendation Frameworks using Deep LearningMd. Akib Zabed Khan, Agoritsa Polyzou. [doi]
• Exploring students' learning processes by logging and analyzing their interaction behavior in a Virtual Reality learning environmentAntony Prakash. [doi]
• Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement LearningJean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger. [doi]
• Modeling and Analyzing Scorer Preferences in Short-Answer Math QuestionsMengxue Zhang, Neil T. Heffernan, Andrew S. Lan. [doi]
• Sequencing Educational Content Using Diversity Aware BanditsColton Botta, Avi Segal, Kobi Gal. [doi]
• Help Me Read! Expanding Students' Reading with Wikipedia ArticlesArun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda. [doi]
• Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay ScoringAfrizal Doewes, Nughthoh Arfawi Kurdhi, Akrati Saxena. [doi]
• Unfolding Learners' Response to Different Versions of Automated Feedback in a MOOC for Programming - A Sequence Analysis ApproachHagit Gabbay, Anat Cohen. [doi]
• The Right To Be Forgotten and Educational Data Mining: Challenges and Paths ForwardStephen Hutt, Sanchari Das, Ryan Baker 0001. [doi]
• LECTOR: An attention-based model to quantify e-book lecture slides and topics relationshipsErwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada. [doi]
• Can't Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small DataMachi Shimmei, Noboru Matsuda. [doi]
• Using Markov Matrix to Analyze Students' Strategies for Solving Parsons PuzzlesAmruth N. Kumar. [doi]
• Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log DataHaoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi. [doi]
• Towards Generalizable Detection of Urgency of Discussion Forum PostsValdemar Svábenský, Ryan Baker 0001, Andrés Zambrano, Yishan Zou, Stefan Slater. [doi]
• Introduction to Neural Networks and Uses in EDMAgathe Merceron, Ange Tato. [doi]
• Designing a Learning Environment to Foster Critical ThinkingRam Das Rai. [doi]
• Exploring the Implementation of NLP Topic Modeling for Understanding the Dynamics of Informal Learning in an AI Painting CommunityRan Bi, Shiyao Wei. [doi]
• Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner ProficiencyYunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille. [doi]
• Data Driven Online Training Program for Education Robotics CompetitionSuprabha Jadhav, Sridhar Iyera, Kavi Aryaa. [doi]
• How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining CommunityAaron Haim, Stacy T. Shaw, Neil T. Heffernan. [doi]
• Fast Dynamic Difficulty Adjustment for Intelligent Tutoring Systems with Small DatasetsAnan Schütt, Tobias Huber, Ilhan Aslan, Elisabeth André. [doi]
• A comparative analysis of the cognitive levels of Science and Mathematics secondary school board examination questions in IndiaAnirban Roy Chowdhury, Nandagopal K. S., Vijay Prakash, Syaamantak Das. [doi]
• Explainable models for feedback design: An argumentative writing exampleAntonette Shibani, Ratnavel Rajalakshmi, Srivarshan Selvaraj, Faerie Mattins, Dhivya Chinnappa. [doi]
• Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning ObjectivesAmir Zur, Isaac Applebaum, Jocelyn Nardo, Dory DeWeese, Sameer Sundrani, Shima Salehi. [doi]
• Generating High-Precision Feedback for Programming Syntax Errors using Large Language ModelsTung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares. [doi]
• A Multimodal Language Learning System for Chinese Character Using Foundation ModelJinglei Yu, Zitao Liu, Mi Tian, DeLiang Wang, Yu Lu 0003. [doi]
• KC-Finder: Automated Knowledge Component Discovery for Programming ProblemsYang Shi 0004, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price. [doi]
• Can the Paths of Successful Students Help Other Students With Their Course Enrollments?Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart. [doi]
• Fostering Interaction in Computer-Supported Collaborative Learning EnvironmentPratiksha Virendra Patil, Ashwin T. S, Ramkumar Rajendran. [doi]
• Understanding Learners' Alternative Conceptions through Interaction Patterns During analogical reasoningMeera Pawar, Sahana Murthy. [doi]
• A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingNischal Ashok Kumar, Wanyong Feng, Jaewook Lee 0006, Hunter McNichols, Aritra Ghosh 0001, Andrew S. Lan. [doi]
• Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writingAntonette Shibani, Ratnavel Rajalakshmi, Faerie Mattins, Srivarshan Selvaraj, Simon Knight 0001. [doi]