Table of Contents

• How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace LearningJacob Whitehill, Amitai Erfanian. 3-14 [doi]
• A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of UndergraduatesMarzieh Karimi-Haghighi, Carlos Castillo 0001, Davinia Hernández Leo. 15-27 [doi]
• Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop QuizzesAhana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla. 28-40 [doi]
• Learning Profiles to Assess Educational Prediction SystemsAmal Ben Soussia, Célina Treuillier, Azim Roussanaly, Anne Boyer. 41-52 [doi]
• Identifying Student Struggle by Analyzing Facial Movement During Asynchronous Video Lecture Viewing: Towards an Automated Tool to Support InstructorsAdam Linson, Yucheng Xu, Andrea R. English, Robert B. Fisher. 53-65 [doi]
• Preparing Future Learning with Novel Visuals by Supporting Representational CompetenciesJihyun Rho, Martina A. Rau, Barry D. Van Veen. 66-77 [doi]
• Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based LearningAlex Goslen, Dan Carpenter, Jonathan P. Rowe, Nathan L. Henderson, Roger Azevedo, James C. Lester. 78-89 [doi]
• Identifying and Comparing Multi-dimensional Student Profiles Across Flipped ClassroomsPaola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser. 90-102 [doi]
• Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for ChemistryJoel P. Beier, Martina A. Rau. 103-114 [doi]
• How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research?Nidhi Nasiar, Ryan S. Baker, Jillian Li, Weiyi Gong. 115-126 [doi]
• Investigating the Effectiveness of Visual Learning Analytics in Active Video WatchingNegar Mohammadhassan, Antonija Mitrovic. 127-139 [doi]
• Debiasing Politically Motivated Reasoning with Value-Adaptive InstructionNicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer. 140-152 [doi]
• Towards Human-Like Educational Question Generation with Large Language ModelsZichao Wang 0001, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk. 153-166 [doi]
• Towards the Automated Evaluation of Legal Casenote EssaysMladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen. 167-179 [doi]
• Fully Automated Short Answer Scoring of the Trial Tests for Common Entrance Examinations for Japanese UniversityHaruki Oka, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, Tsunenori Ishioka. 180-192 [doi]
• Machine Learning Techniques to Evaluate Lesson ObjectivesPei Hua Cher, Jason Wen Yau Lee, Fernando Bello. 193-205 [doi]
• Towards Generating Counterfactual Examples as Automatic Short Answer FeedbackAnna Filighera, Joel Tschesche, Tim Steuer, Thomas Tregel, Lisa Wernet. 206-217 [doi]
• Combining Artificial Intelligence and Edge Computing to Reshape Distance Education (Case Study: K-12 Learners)Chahrazed Labba, Rabie Ben Atitallah, Anne Boyer. 218-230 [doi]
• Plausibility and Faithfulness of Feature Attribution-Based Explanations in Automated Short Answer ScoringTasuku Sato, Hiroaki Funayama, Kazuaki Hanawa, Kentaro Inui. 231-242 [doi]
• Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for EducationGianni Fenu, Roberta Galici, Mirko Marras. 243-255 [doi]
• Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational DataEfthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi 0003, Alexandra I. Cristea. 256-268 [doi]
• "Teacher, Can You Say It Again?" Improving Automatic Speech Recognition Performance over Classroom Environments with Limited DataDanner Schlotterbeck, Abelino Jiménez, Roberto Araya, Daniela Caballero, Pablo Uribe, Johan Van der Molen Moris. 269-280 [doi]
• Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational ContextsAnthony F. Botelho, Ethan Prihar, Neil T. Heffernan. 281-293 [doi]
• Fine-grained Main Ideas Extraction and Clustering of Online Course ReviewsChenghao Xiao, Lei Shi 0003, Alexandra I. Cristea, Zhaoxing Li, Ziqi Pan. 294-306 [doi]
• Assessing Readability by Filling Cloze Items with TransformersAndrew M. Olney. 307-318 [doi]
• CurriculumTutor: An Adaptive Algorithm for Mastering a CurriculumK. M. Shabana, Chandrashekar Lakshminarayanan, Jude K. Anil. 319-331 [doi]
• Pedagogical Agent Support and Its Relationship to Learners' Self-regulated Learning Strategy Use with an Intelligent Tutoring SystemDaryn A. Dever, Nathan A. Sonnenfeld, Megan D. Wiedbusch, Roger Azevedo. 332-343 [doi]
• Evaluating AI-Generated Questions: A Mixed-Methods Analysis Using Question Data and Student PerceptionsRachel Van Campenhout, Martha Hubertz, Benny G. Johnson. 344-353 [doi]
• Representing Scoring Rubrics as Graphs for Automatic Short Answer GradingAubrey Condor, Zachary A. Pardos, Marcia C. Linn. 354-365 [doi]
• Educational Equity Through Combined Human-AI Personalization: A Propensity Matching EvaluationDanielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger. 366-377 [doi]
• Eye to Eye: Gaze Patterns Predict Remote Collaborative Problem Solving Behaviors in TriadsAngelina Abitino, Samuel L. Pugh, Candace E. Peacock, Sidney K. D'Mello. 378-389 [doi]
• Improving Automated Evaluation of Formative Assessments with Text Data AugmentationKeith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings. 390-401 [doi]
• Clustering Learner's Metacognitive Judgment Accuracy and Bias to Explore Learning with AIEd SystemsMegan D. Wiedbusch, Nathan Sonnenfeld, Daryn A. Dever, Roger Azevedo. 402-413 [doi]
• Towards an Inclusive and Socially Committed Community in Artificial Intelligence in Education: A Social Network Analysis of the Evolution of Authorship and Research Topics over 8 Years and 2509 PapersYipu Zheng, Zhuqian Zhou, Paulo Blikstein. 414-426 [doi]
• Scaling Mixed-Methods Formative Assessments (mixFA) in Classrooms: A Clustering Pipeline to Identify Student KnowledgeXinyue Chen, Xu Wang. 427-439 [doi]
• Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement LearningSong Ju, Xi Yang 0019, Tiffany Barnes, Min Chi. 440-452 [doi]
• An Intelligent Interactive Support System for Word Usage Learning in Second LanguagesYo Ehara. 453-464 [doi]
• Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer ScoringHiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui. 465-476 [doi]
• Auxiliary Task Guided Interactive Attention Model for Question Difficulty PredictionVenktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal. 477-489 [doi]
• A Basic Study on Educational Growth Indicators Based on Quantitative Evaluation of Strokes Quality in Drawing WorksKanato Sugii, Takashi Nagai, Mizue Kayama. 490-501 [doi]
• What Is Relevant for Learning? Approximating Readers' Intuition Using Neural Content SelectionTim Steuer, Anna Filighera, Gianluca Zimmer, Thomas Tregel. 505-511 [doi]
• Computer-Aided Response-to-Intervention for Reading Comprehension Based on Recommender SystemMing-Chi Liu, Wei-Yang Lin, Chia-Ling Tsai. 512-518 [doi]
• Improving the Quality of Students' Written Reflections Using Natural Language Processing: Model Design and Classroom EvaluationAhmed Magooda, Diane J. Litman, Ahmed Ashraf, Muhsin Menekse. 519-525 [doi]
• Providing Insights for Open-Response Surveys via End-to-End Context-Aware ClusteringSoheil Esmaeilzadeh, Brian Williams, Davood Shamsi, Onar Vikingstad. 526-532 [doi]
• Towards Aligning Slides and Video Snippets: Mitigating Sequence and Content MismatchesZiyuan Liu, Hady W. Lauw. 533-539 [doi]
• Student Behavior Models in Ill-Structured Problem-Solving EnvironmentDeepti Reddy, Vedant Balasubramaniam, Salman Shaikh, Shreyas Trapasia. 540-545 [doi]
• Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and TransferMark Abdelshiheed, John Wesley Hostetter, Xi Yang 0019, Tiffany Barnes, Min Chi. 546-552 [doi]
• The Impact of Conversational Agents' Language on Self-efficacy and Summary WritingHaiying Li, Fanshuo Cheng, Grace Wang, Art Graeser. 553-559 [doi]
• Measuring Inconsistency in Written Feedback: A Case Study in PolitenessWei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen. 560-566 [doi]
• Reducing Bias in a Misinformation Classification Task with Value-Adaptive InstructionNicholas Diana, John C. Stamper. 567-572 [doi]
• A Generic Interpreting Method for Knowledge Tracing ModelsDeLiang Wang, Yu Lu 0003, Zhi Zhang, Penghe Chen. 573-580 [doi]
• An Automated Writing Evaluation System for Supporting Self-monitored RevisingDiane J. Litman, Tazin Afrin, Omid Kashefi, Christopher Olshefski, Amanda Godley, Rebecca Hwa. 581-587 [doi]
• What Does Shared Understanding in Students' Face-to-Face Collaborative Learning Gaze Behaviours "Look Like"?Qi Zhou, Wannapon Suraworachet, Oya Çeliktutan, Mutlu Cukurova. 588-593 [doi]
• Improving Prediction of Student Performance in a Blended CourseSergey A. Sosnovsky, Almed Hamzah. 594-599 [doi]
• Examining Gender Differences in Game-Based Learning Through BKT Parameter EstimationSaman Rizvi, Andrea Gauthier, Mutlu Cukurova, Manolis Mavrikis. 600-606 [doi]
• Popularity Prediction in MOOCs: A Case Study on UdemyLin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen. 607-613 [doi]
• Extensive Reading at Home: Extracting Self-directed Reading Habits from Learning LogsChia-Yu Hsu, Rwitajit Majumdar, Huiyong Li, Yuanyuan Yang, Hiroaki Ogata. 614-619 [doi]
• Extraction of Useful Observational Features from Teacher Reports for Student Performance PredictionMenna Fateen, Tsunenori Mine. 620-625 [doi]
• Two-Stage Uniform Adaptive Testing to Balance Measurement Accuracy and Item ExposureMaomi Ueno, Yoshimitsu Miyazawa. 626-632 [doi]
• Multi-label Disengagement and Behavior Prediction in Online LearningManisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara. 633-639 [doi]
• Real-Time Spoken Language Understanding for Orthopedic Clinical Training in Virtual RealityHan Wei Ng, Aiden Koh, Anthea Foong, Jeremy Ong, Jun Hao Tan, Eng Tat Khoo, Gabriel Liu. 640-646 [doi]
• Modeling Perspective Taking and Knowledge Use in Collaborative Explanation: Investigation by Laboratory Experiment and Computer Simulation Using ACT-RYugo Hayashi, Shigen Shimojo. 647-652 [doi]
• Are Students Aware of How Much Help They Need? The Relationship Between Awareness, Help Seeking, and Self-assessmentMichael Smalenberger. 653-659 [doi]
• Automated Support to Scaffold Students' Written Explanations in SciencePurushartha Singh, Rebecca J. Passonneau, Mohammad Wasih, Xuesong Cang, ChanMin Kim, Sadhana Puntambekar. 660-665 [doi]
• GARFIELD: A Recommender System to Personalize Gamified LearningLuiz A. L. Rodrigues, Armando M. Toda, Filipe D. Pereira, Paula T. Palomino, Ana C. T. Klock, Marcela Pessoa, David B. F. Oliveira, Isabela Gasparini, Elaine H. T. Oliveira, Alexandra I. Cristea, Seiji Isotani. 666-672 [doi]
• Technology Ecosystem for Orchestrating Dynamic Transitions Between Individual and Collaborative AI-Tutored Problem SolvingKexin Bella Yang, Zijing Lu, Vanessa Echeverría, Jonathan Sewall, LuEttaMae Lawrence, Nikol Rummel, Vincent Aleven. 673-678 [doi]
• Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial LearningAlexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur 0001, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André. 679-684 [doi]
• Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and ExpressionsSami Baral, Karthik Seetharaman, Anthony F. Botelho, Anzhuo Wang, George T. Heineman, Neil T. Heffernan. 685-690 [doi]
• Automated Scoring for Reading Comprehension via In-context BERT TuningNigel Fernandez, Aritra Ghosh 0001, Naiming Liu, Zichao Wang 0001, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan. 691-697 [doi]
• Deep Learning for Automatic Detection of Qualitative Features of LecturingAnna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Seng Chee Tan, Tomasz Trzcinski, Janusz A. Holyst. 698-703 [doi]
• Predicting Second Language Learners' Actual Knowledge Using Self-perceived KnowledgeYo Ehara. 704-710 [doi]
• Investigating Student Interest and Engagement in Game-Based Learning EnvironmentsJiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Nathan L. Henderson, Alex Goslen, Jonathan P. Rowe, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester. 711-716 [doi]
• Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCsMohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea. 717-723 [doi]
• Raising Student Completion Rates with Adaptive Curriculum and Contextual BanditsRobert Belfer, Ekaterina Kochmar, Iulian Vlad Serban. 724-730 [doi]
• Self-attention in Knowledge Tracing: Why It WorksShi Pu, Lee Becker. 731-736 [doi]
• Student Low Achievement PredictionAndrea Zanellati, Stefano Pio Zingaro, Maurizio Gabbrielli. 737-742 [doi]
• Automatic Question Generation for Scaffolding Self-explanations for Code ComprehensionLasang Jimba Tamang, Rabin Banjade, Jeevan Chapagain, Vasile Rus. 743-748 [doi]
• Incorporating AI and Analytics to Derive Insights from E-exam LogsHatim Lahza, Hassan Khosravi, Gianluca Demartini. 749-755 [doi]
• Multitask Summary Scoring with LongformersRobert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara. 756-761 [doi]
• Investigating the Effects of Mindfulness Meditation on a Digital Learning Game for MathematicsHuy A. Nguyen, Zsofia K. Takacs, Eniko O. Bereczki, J. Elizabeth Richey, Michael Mogessie Ashenafi, Bruce M. McLaren. 762-767 [doi]