Table of Contents

• Machine-Generated Questions Attract Instructors When Acquainted with Learning ObjectivesMachi Shimmei, Norman L. Bier, Noboru Matsuda. 3-15 [doi]
• SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual CuesJaewook Lee 0006, Andrew Lan. 16-27 [doi]
• Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons LearnedMingyu Feng, Neil T. Heffernan, Kelly Collins, Cristina Heffernan, Robert F. Murphy. 28-40 [doi]
• The Development of Multivariable Causality Strategy: Instruction or Simulation First?Janan Saba, Manu Kapur, Ido Roll. 41-53 [doi]
• Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked ExamplesNapol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger. 54-65 [doi]
• Investigating the Utility of Self-explanation Through Translation Activities with a Code-Tracing TutorMaia Caughey, Kasia Muldner. 66-77 [doi]
• Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer ScoringHiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Kentaro Inui. 78-89 [doi]
• Go with the Flow: Personalized Task Sequencing Improves Online Language LearningNathalie Rzepka, Katharina Simbeck, Hans-Georg Müller, Niels Pinkwart. 90-101 [doi]
• Automated Hand-Raising Detection in Classroom Videos: A View-Invariant and Occlusion-Robust Machine Learning ApproachBabette Bühler, Ruikun Hou, Efe Bozkir, Patricia Goldberg, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci. 102-113 [doi]
• Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced DatasetsJionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du 0002, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic. 114-125 [doi]
• What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor LearningTasmia Shahriar, Noboru Matsuda. 126-138 [doi]
• Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor AgentElena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh. 139-150 [doi]
• Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers' EngagementMutlu Cukurova, Xin Miao, Richard Brooker. 151-163 [doi]
• The Road Not Taken: Preempting Dropout in MOOCsLele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen. 164-175 [doi]
• Does Informativeness Matter? Active Learning for Educational Dialogue Act ClassificationWei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du 0002, Wray L. Buntine. 176-188 [doi]
• Can Virtual Agents Scale Up Mentoring?: Insights from College Students' Experiences Using the CareerFair.ai Platform at an American Hispanic-Serving InstitutionYuko Okado, Benjamin D. Nye, Angelica Aguirre, William R. Swartout. 189-201 [doi]
• Real-Time AI-Driven Assessment and Scaffolding that Improves Students' Mathematical Modeling during Science InvestigationsAmy Adair, Michael Sao Pedro, Janice D. Gobert, Ellie Segan. 202-216 [doi]
• Improving Automated Evaluation of Student Text Responses Using GPT-3.5 for Text Data AugmentationKeith Cochran, Clayton Cohn, Jean-François Rouet, Peter M. Hastings. 217-228 [doi]
• The Automated Model of Comprehension Version 3.0: Paying Attention to ContextDragos Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara. 229-241 [doi]
• Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network AnalysisLinxuan Zhao, Yuanru Tan, Dragan Gasevic, David Williamson Shaffer, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado. 242-254 [doi]
• Improving Adaptive Learning Models Using Prosodic Speech FeaturesThomas Wilschut, Florian Sense, Odette Scharenborg, Hedderik van Rijn. 255-266 [doi]
• Neural Automated Essay Scoring Considering Logical StructureMisato Yamaura, Itsuki Fukuda, Masaki Uto. 267-278 [doi]
• "Why My Essay Received a 4?": A Natural Language Processing Based Argumentative Essay Structure AnalysisBokai Yang, SungJin Nam, Yuchi Huang. 279-290 [doi]
• Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring SystemsMark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi. 291-303 [doi]
• Enhancing Stealth Assessment in Collaborative Game-Based Learning with Multi-task LearningAnisha Gupta, Dan Carpenter, Wookhee Min, Bradford W. Mott, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester. 304-315 [doi]
• How Peers Communicate Without Words-An Exploratory Study of Hand Movements in Collaborative Learning Using Computer-Vision-Based Body Recognition TechniquesQianru Lyu, Wenli Chen, Junzhu Su, Kok Hui John Gerard Heng, Shuai Liu. 316-326 [doi]
• Scalable Educational Question Generation with Pre-trained Language ModelsSahan Bulathwela, Hamze Muse, Emine Yilmaz. 327-339 [doi]
• Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping StudyMeng Xia, Xinyi Zhao, Dong Sun, Yun Huang, Jonathan Sewall, Vincent Aleven. 340-352 [doi]
• Reflexive Expressions: Towards the Analysis of Reflexive Capability from Reflective TextAndrew Gibson, Lance De Vine, Miguel Canizares, Jill Willis. 353-364 [doi]
• Algebra Error Classification with Large Language ModelsHunter McNichols, Mengxue Zhang, Andrew Lan. 365-376 [doi]
• Exploration of Annotation Strategies for Automatic Short Answer GradingAner Egaña, Itziar Aldabe, Oier Lopez de Lacalle. 377-388 [doi]
• Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic TutorPreya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes. 389-400 [doi]
• Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science EducationXuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai. 401-413 [doi]
• Learning When to Defer to Humans for Short Answer GradingZhaohui Li, Chengning Zhang, Yumi Jin, Xuesong Cang, Sadhana Puntambekar, Rebecca J. Passonneau. 414-425 [doi]
• Contrastive Learning for Reading Behavior Embedding in E-book SystemTsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada. 426-437 [doi]
• Generalizable Automatic Short Answer Scoring via Prototypical Neural NetworkZijie Zeng, Lin Li 0039, Quanlong Guan, Dragan Gasevic, Guanliang Chen. 438-449 [doi]
• A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled ClassroomShamya Karumbaiah, Conrad Borchers, Tianze Shou, Ann-Christin Falhs, Pinyang Liu, Tomohiro Nagashima, Nikol Rummel, Vincent Aleven. 450-462 [doi]
• Trustworthy Academic Risk Prediction with Explainable Boosting MachinesVegenshanti Dsilva, Johannes Schleiss, Sebastian Stober. 463-475 [doi]
• Automatic Educational Question Generation with Difficulty Level ControlsYing Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan. 476-488 [doi]
• Getting the Wiggles Out: Movement Between Tasks Predicts Future Mind Wandering During Learning ActivitiesRosy Southwell, Candace E. Peacock, Sidney K. D'Mello. 489-501 [doi]
• Efficient Feedback and Partial Credit Grading for Proof Blocks ProblemsSeth Poulsen, Shubhang Kulkarni, Geoffrey L. Herman, Matthew West 0001. 502-514 [doi]
• Dropout Prediction in a Web Environment Based on Universal Design for LearningMarvin Roski, Ratan Sebastian, Ralph Ewerth, Anett Hoppe, Andreas Nehring. 515-527 [doi]
• Designing for Student Understanding of Learning Analytics AlgorithmsCatherine Yeh, Noah Q. Cowit, Iris Howley. 528-540 [doi]
• Feedback and Open Learner Models in Popular Commercial VR Games: A Systematic ReviewYingAn Chen, Judy Kay, SooJeong Yoo. 541-552 [doi]
• Gender Differences in Learning Game Preferences: Results Using a Multi-dimensional Gender FrameworkHuy A. Nguyen, Nicole Else-Quest, J. Elizabeth Richey, Jessica Hammer, Sarah Di, Bruce M. McLaren. 553-564 [doi]
• Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring SystemHannah Deininger, Rosa Lavelle-Hill, Cora Parrisius, Ines Pieronczyk, Leona Colling, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci. 565-576 [doi]
• A Multi-theoretic Analysis of Collaborative Discourse: A Step Towards AI-Facilitated Student CollaborationsJason G. Reitman, Charis Clevenger, Quinton Beck-White, Amanda Howard, Sierra Rose, Jacob Elick, Julianna Harris, Peter Foltz, Sidney K. D'Mello. 577-589 [doi]
• Development and Experiment of Classroom Engagement Evaluation Mechanism During Real-Time Online CoursesYanyi Peng, Masato Kikuchi, Tadachika Ozono. 590-601 [doi]
• Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative LearningLixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Xinyu Li, Dragan Gasevic. 602-614 [doi]
• Confusion, Conflict, Consensus: Modeling Dialogue Processes During Collaborative Learning with Hidden Markov ModelsToni V. Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric N. Wiebe. 615-626 [doi]
• Unsupervised Concept Tagging of Mathematical Questions from Student ExplanationsK. M. Shabana, Chandrashekar Lakshminarayanan. 627-638 [doi]
• Robust Team Communication Analytics with Transformer-Based Dialogue ModelingJay Pande, Wookhee Min, Randall D. Spain, Jason D. Saville, James C. Lester. 639-650 [doi]
• Teacher Talk Moves in K12 Mathematics Lessons: Automatic Identification, Prediction Explanation, and Characteristic ExplorationDeLiang Wang, Dapeng Shan, Yaqian Zheng, Gaowei Chen. 651-664 [doi]
• Ethical and Pedagogical Impacts of AI in EducationBingyi Han, Sadia Nawaz, George Buchanan 0001, Dana McKay. 667-673 [doi]
• Multi-dimensional Learner Profiling by Modeling Irregular Multivariate Time Series with Self-supervised Deep LearningQian Xiao, Breanne Pitt, Keith Johnston, Vincent Wade. 674-680 [doi]
• Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning GameHuy A. Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren. 681-687 [doi]
• Plug-and-Play EEG-Based Student Confusion Classification in Massive Online Open CoursesHan Wei Ng. 688-694 [doi]
• CPSCoach: The Design and Implementation of Intelligent Collaborative Problem Solving FeedbackAngela E. B. Stewart, Arjun Ramesh Rao, Amanda Michaels, Chen Sun, Nicholas D. Duran, Valerie J. Shute, Sidney K. D'Mello. 695-700 [doi]
• Development of Virtual Reality SBIRT Skill Training with Conversational AI in Nursing EducationJinsil Hwaryoung Seo, Rohan Chaudhury, Ja-Hun Oh, Caleb Kicklighter, Tomas Arguello, Elizabeth Wells-Beede, Cynthia Weston. 701-707 [doi]
• Balancing Test Accuracy and Security in Computerized Adaptive TestingWanyong Feng, Aritra Ghosh 0001, Stephen Sireci, Andrew S. Lan. 708-713 [doi]
• A Personalized Learning Path Recommendation Method for Learning Objects with Diverse Coverage LevelsTengju Li, Xu Wang, Shugang Zhang, Fei Yang 0003, Weigang Lu. 714-719 [doi]
• Prompt-Independent Automated Scoring of L2 Oral Fluency by Capturing Prompt EffectsRyuki Matsuura, Shungo Suzuki. 720-726 [doi]
• Navigating Wanderland: Highlighting Off-Task Discussions in ClassroomsAnanya Ganesh, Michael Alan Chang, Rachel Dickler, Michael Regan, Jon Z. Cai, Kristin Wright-Bettner, James Pustejovsky, James H. Martin, Jeffrey Flanigan, Martha Palmer, Katharina Kann. 727-732 [doi]
• 2Tutor: Helping People Learn to Avoid Present Bias During Decision MakingCalarina Muslimani, Saba Gul, Matthew E. Taylor, Carrie Demmans Epp, Christabel Wayllace. 733-738 [doi]
• A Machine-Learning Approach to Recognizing Teaching Beliefs in Narrative Stories of Outstanding ProfessorsFandel Lin, Ding-Ying Guo, Jer-Yann Lin. 739-745 [doi]
• BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRainingAdam T. Wynn, Jingyun Wang. 746-752 [doi]
• Eliciting Proactive and Reactive Control During Use of an Interactive Learning EnvironmentDeniz Sonmez Unal, Catherine M. Arrington, Erin Solovey, Erin Walker. 753-759 [doi]
• How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning EnvironmentsSébastien Lallé, Özge Nilay Yalçin, Cristina Conati. 760-766 [doi]
• Automatic Detection of Collaborative States in Small Groups Using Multimodal FeaturesMariah Bradford, Ibrahim Khebour, Nathaniel Blanchard, Nikhil Krishnaswamy. 767-773 [doi]
• Affective Dynamic Based Technique for Facial Emotion Recognition (FER) to Support Intelligent Tutors in EducationXingran Ruan, Charaka Palansuriya, Aurora Constantin. 774-779 [doi]
• Real-Time Hybrid Language Model for Virtual Patient ConversationsHan Wei Ng, Aiden Koh, Anthea Foong, Jeremy Ong. 780-785 [doi]
• Towards Enriched Controllability for Educational Question GenerationBernardo Leite, Henrique Lopes Cardoso. 786-791 [doi]
• A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED MethodologySina Rismanchian, Shayan Doroudi. 792-797 [doi]
• Automated Program Repair Using Generative Models for Code InfillingCharles Koutcheme, Sami Sarsa, Juho Leinonen 0001, Arto Hellas, Paul Denny. 798-803 [doi]
• Measuring the Quality of Domain Models Extracted from Textbooks with Learning Curves AnalysisIsaac Alpizar Chacon, Sergey A. Sosnovsky, Peter Brusilovsky. 804-809 [doi]
• Predicting Progress in a Large-Scale Online Programming CourseVincent Zhang, Bryn Jeffries, Irena Koprinska. 810-816 [doi]
• Examining the Impact of Flipped Learning for Developing Young Job Seekers' AI LiteracyHyo-Jin Kim, Hyo-Jeong So, Young-Joo Suh. 817-823 [doi]
• Automatic Analysis of Student Drawings in Chemistry ClassesMarkos Stamatakis, Wolfgang Gritz, Jos Oldag, Anett Hoppe, Sascha Schanze, Ralph Ewerth. 824-829 [doi]
• Training Language Models for Programming Feedback Using Automated Repair ToolsCharles Koutcheme. 830-835 [doi]