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ORCID24th AIED 2023: Tokyo, Japan
- Ning Wang, Genaro Rebolledo-Mendez
, Noboru Matsuda, Olga C. Santos, Vania Dimitrova:
Artificial Intelligence in Education - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Lecture Notes in Computer Science 13916, Springer 2023, ISBN 978-3-031-36271-2
Full Papers
- Machi Shimmei, Norman L. Bier, Noboru Matsuda:
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives. 3-15 - Jaewook Lee, Andrew S. Lan:
SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues. 16-27 - Mingyu Feng, Neil T. Heffernan, Kelly Collins, Cristina Heffernan, Robert F. Murphy:
Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. 28-40 - Janan Saba, Manu Kapur, Ido Roll:
The Development of Multivariable Causality Strategy: Instruction or Simulation First? 41-53 - Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger:
Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples. 54-65 - Maia Caughey, Kasia Muldner:
Investigating the Utility of Self-explanation Through Translation Activities with a Code-Tracing Tutor. 66-77 - Hiroaki Funayama, Yuya Asazuma, Yuichiroh Matsubayashi, Tomoya Mizumoto, Kentaro Inui:
Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer Scoring. 78-89 - Nathalie Rzepka, Katharina Simbeck, Hans-Georg Müller, Niels Pinkwart:
Go with the Flow: Personalized Task Sequencing Improves Online Language Learning. 90-101 - Babette Bühler, Ruikun Hou, Efe Bozkir, Patricia Goldberg, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Automated Hand-Raising Detection in Classroom Videos: A View-Invariant and Occlusion-Robust Machine Learning Approach. 102-113 - Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic:
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. 114-125 - Tasmia Shahriar, Noboru Matsuda:
What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning. 126-138 - Elena G. van Stee, Taylor Heath, Ryan Shaun Baker, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh:
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent. 139-150 - Mutlu Cukurova, Xin Miao, Richard Brooker:
Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers' Engagement. 151-163 - Lele Sha, Ed Fincham, Lixiang Yan, Tongguang Li, Dragan Gasevic, Kobi Gal, Guanliang Chen:
The Road Not Taken: Preempting Dropout in MOOCs. 164-175 - Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine:
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. 176-188 - Yuko Okado, Benjamin D. Nye, Angelica Aguirre, William R. Swartout:
Can Virtual Agents Scale Up Mentoring?: Insights from College Students' Experiences Using the CareerFair.ai Platform at an American Hispanic-Serving Institution. 189-201 - Amy Adair, Michael Sao Pedro, Janice D. Gobert, Ellie Segan:
Real-Time AI-Driven Assessment and Scaffolding that Improves Students' Mathematical Modeling during Science Investigations. 202-216 - Keith Cochran, Clayton Cohn, Jean-François Rouet, Peter M. Hastings:
Improving Automated Evaluation of Student Text Responses Using GPT-3.5 for Text Data Augmentation. 217-228 - Dragos Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara:
The Automated Model of Comprehension Version 3.0: Paying Attention to Context. 229-241 - Linxuan Zhao, Yuanru Tan, Dragan Gasevic, David Williamson Shaffer, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado:
Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis. 242-254 - Thomas Wilschut, Florian Sense, Odette Scharenborg, Hedderik van Rijn:
Improving Adaptive Learning Models Using Prosodic Speech Features. 255-266 - Misato Yamaura, Itsuki Fukuda, Masaki Uto:
Neural Automated Essay Scoring Considering Logical Structure. 267-278 - Bokai Yang, Sungjin Nam, Yuchi Huang:
"Why My Essay Received a 4?": A Natural Language Processing Based Argumentative Essay Structure Analysis. 279-290 - Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi:
Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems. 291-303 - Anisha Gupta, Dan Carpenter, Wookhee Min, Bradford W. Mott, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester:
Enhancing Stealth Assessment in Collaborative Game-Based Learning with Multi-task Learning. 304-315 - Qianru Lyu, Wenli Chen, Junzhu Su, Kok Hui John Gerard Heng, Shuai Liu:
How Peers Communicate Without Words-An Exploratory Study of Hand Movements in Collaborative Learning Using Computer-Vision-Based Body Recognition Techniques. 316-326 - Sahan Bulathwela, Hamze Muse, Emine Yilmaz:
Scalable Educational Question Generation with Pre-trained Language Models. 327-339 - Meng Xia, Xinyi Zhao, Dong Sun, Yun Huang, Jonathan Sewall, Vincent Aleven:
Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study. 340-352 - Andrew Gibson, Lance De Vine, Miguel Canizares, Jill Willis:
Reflexive Expressions: Towards the Analysis of Reflexive Capability from Reflective Text. 353-364 - Hunter McNichols, Mengxue Zhang, Andrew S. Lan:
Algebra Error Classification with Large Language Models. 365-376 - Aner Egaña, Itziar Aldabe, Oier Lopez de Lacalle:
Exploration of Annotation Strategies for Automatic Short Answer Grading. 377-388 - Preya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. 389-400 - Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai:
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. 401-413 - Zhaohui Li, Chengning Zhang, Yumi Jin, Xuesong Cang, Sadhana Puntambekar, Rebecca J. Passonneau:
Learning When to Defer to Humans for Short Answer Grading. 414-425 - Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada:
Contrastive Learning for Reading Behavior Embedding in E-book System. 426-437 - Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. 438-449 - Shamya Karumbaiah, Conrad Borchers, Tianze Shou, Ann-Christin Falhs, Pinyang Liu, Tomohiro Nagashima, Nikol Rummel, Vincent Aleven:
A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom. 450-462 - Vegenshanti Dsilva, Johannes Schleiss, Sebastian Stober:
Trustworthy Academic Risk Prediction with Explainable Boosting Machines. 463-475 - Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan:
Automatic Educational Question Generation with Difficulty Level Controls. 476-488 - Rosy Southwell, Candace E. Peacock, Sidney K. D'Mello:
Getting the Wiggles Out: Movement Between Tasks Predicts Future Mind Wandering During Learning Activities. 489-501 - Seth Poulsen, Shubhang Kulkarni, Geoffrey L. Herman, Matthew West:
Efficient Feedback and Partial Credit Grading for Proof Blocks Problems. 502-514 - Marvin Roski, Ratan Sebastian, Ralph Ewerth, Anett Hoppe, Andreas Nehring:
Dropout Prediction in a Web Environment Based on Universal Design for Learning. 515-527 - Catherine Yeh, Noah Q. Cowit, Iris Howley:
Designing for Student Understanding of Learning Analytics Algorithms. 528-540 - YingAn Chen, Judy Kay, Soojeong Yoo:
Feedback and Open Learner Models in Popular Commercial VR Games: A Systematic Review. 541-552 - Huy Anh Nguyen, Nicole Else-Quest, J. Elizabeth Richey, Jessica Hammer, Sarah Di, Bruce M. McLaren:
Gender Differences in Learning Game Preferences: Results Using a Multi-dimensional Gender Framework. 553-564 - Hannah Deininger, Rosa Lavelle-Hill, Cora Parrisius, Ines Pieronczyk, Leona Colling, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci:
Can You Solve This on the First Try? - Understanding Exercise Field Performance in an Intelligent Tutoring System. 565-576 - Jason G. Reitman, Charis Clevenger, Quinton Beck-White, Amanda Howard, Sierra Rose, Jacob Elick, Julianna Harris, Peter W. Foltz, Sidney K. D'Mello:
A Multi-theoretic Analysis of Collaborative Discourse: A Step Towards AI-Facilitated Student Collaborations. 577-589 - Yanyi Peng, Masato Kikuchi, Tadachika Ozono:
Development and Experiment of Classroom Engagement Evaluation Mechanism During Real-Time Online Courses. 590-601 - Lixiang Yan, Roberto Martínez Maldonado, Linxuan Zhao, Xinyu Li, Dragan Gasevic:
Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative Learning. 602-614 - Toni V. Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric N. Wiebe:
Confusion, Conflict, Consensus: Modeling Dialogue Processes During Collaborative Learning with Hidden Markov Models. 615-626 - K. M. Shabana, Chandrashekar Lakshminarayanan:
Unsupervised Concept Tagging of Mathematical Questions from Student Explanations. 627-638 - Jay Pande, Wookhee Min, Randall D. Spain, Jason D. Saville, James C. Lester:
Robust Team Communication Analytics with Transformer-Based Dialogue Modeling. 639-650 - Deliang Wang, Dapeng Shan, Yaqian Zheng, Gaowei Chen:
Teacher Talk Moves in K12 Mathematics Lessons: Automatic Identification, Prediction Explanation, and Characteristic Exploration. 651-664
Short Papers
- Bingyi Han, Sadia Nawaz, George Buchanan, Dana McKay:
Ethical and Pedagogical Impacts of AI in Education. 667-673 - Qian Xiao, Breanne Pitt, Keith Johnston, Vincent Wade:
Multi-dimensional Learner Profiling by Modeling Irregular Multivariate Time Series with Self-supervised Deep Learning. 674-680 - Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren:
Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game. 681-687 - Han Wei Ng:
Plug-and-Play EEG-Based Student Confusion Classification in Massive Online Open Courses. 688-694 - Angela E. B. Stewart, Arjun Ramesh Rao, Amanda Michaels, Chen Sun, Nicholas D. Duran, Valerie J. Shute, Sidney K. D'Mello:
CPSCoach: The Design and Implementation of Intelligent Collaborative Problem Solving Feedback. 695-700 - Jinsil Hwaryoung Seo, Rohan Chaudhury, Ja-Hun Oh, Caleb Kicklighter, Tomas Arguello, Elizabeth Wells-Beede, Cynthia Weston:
Development of Virtual Reality SBIRT Skill Training with Conversational AI in Nursing Education. 701-707 - Wanyong Feng, Aritra Ghosh, Stephen Sireci, Andrew S. Lan:
Balancing Test Accuracy and Security in Computerized Adaptive Testing. 708-713 - Tengju Li, Xu Wang, Shugang Zhang, Fei Yang, Weigang Lu:
A Personalized Learning Path Recommendation Method for Learning Objects with Diverse Coverage Levels. 714-719 - Ryuki Matsuura, Shungo Suzuki:
Prompt-Independent Automated Scoring of L2 Oral Fluency by Capturing Prompt Effects. 720-726 - Ananya 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:
Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms. 727-732 - Calarina Muslimani, Saba Gul, Matthew E. Taylor, Carrie Demmans Epp, Christabel Wayllace:
C2Tutor: Helping People Learn to Avoid Present Bias During Decision Making. 733-738 - Fandel Lin, Ding-Ying Guo, Jer-Yann Lin:
A Machine-Learning Approach to Recognizing Teaching Beliefs in Narrative Stories of Outstanding Professors. 739-745 - Adam T. Wynn, Jingyun Wang:
BETTER: An Automatic feedBack systEm for supporTing emoTional spEech tRaining. 746-752 - Deniz Sonmez Unal, Catherine M. Arrington, Erin Solovey, Erin Walker:
Eliciting Proactive and Reactive Control During Use of an Interactive Learning Environment. 753-759 - Sébastien Lallé, Özge Nilay Yalçin, Cristina Conati:
How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments. 760-766 - Mariah Bradford, Ibrahim Khebour, Nathaniel Blanchard, Nikhil Krishnaswamy:
Automatic Detection of Collaborative States in Small Groups Using Multimodal Features. 767-773 - Xingran Ruan, Charaka Palansuriya, Aurora Constantin:
Affective Dynamic Based Technique for Facial Emotion Recognition (FER) to Support Intelligent Tutors in Education. 774-779 - Han Wei Ng, Aiden Koh, Anthea Foong, Jeremy Ong:
Real-Time Hybrid Language Model for Virtual Patient Conversations. 780-785 - Bernardo Leite, Henrique Lopes Cardoso:
Towards Enriched Controllability for Educational Question Generation. 786-791 - Sina Rismanchian, Shayan Doroudi:
A Computational Model for the ICAP Framework: Exploring Agent-Based Modeling as an AIED Methodology. 792-797 - Charles Koutcheme, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Automated Program Repair Using Generative Models for Code Infilling. 798-803 - Isaac Alpizar Chacon, Sergey A. Sosnovsky, Peter Brusilovsky:
Measuring the Quality of Domain Models Extracted from Textbooks with Learning Curves Analysis. 804-809 - Vincent Zhang, Bryn Jeffries, Irena Koprinska:
Predicting Progress in a Large-Scale Online Programming Course. 810-816 - Hyo-Jin Kim, Hyo-Jeong So, Young-Joo Suh:
Examining the Impact of Flipped Learning for Developing Young Job Seekers' AI Literacy. 817-823 - Markos Stamatakis, Wolfgang Gritz, Jos Oldag, Anett Hoppe, Sascha Schanze, Ralph Ewerth:
Automatic Analysis of Student Drawings in Chemistry Classes. 824-829 - Charles Koutcheme:
Training Language Models for Programming Feedback Using Automated Repair Tools. 830-835
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