{"id":695,"date":"2025-04-10T18:48:43","date_gmt":"2025-04-10T18:48:43","guid":{"rendered":"https:\/\/aied2025.itd.cnr.it\/?page_id=695"},"modified":"2025-07-22T16:10:28","modified_gmt":"2025-07-22T16:10:28","slug":"main-track","status":"publish","type":"page","link":"https:\/\/aied2025.itd.cnr.it\/index.php\/program\/accepted-papers\/main-track\/","title":{"rendered":"Main Track"},"content":{"rendered":"\n

Main Track – Accepted Papers<\/strong><\/h2>\n\n\n\n
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AIED Architectures & Tools<\/summary>\n

Full papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Ilkou, Thomai Alexiou, Grigorios Antoniou and Olga Viberg<\/td>Dyslexia and AI: Do Language Models Align with Dyslexic Style Guide Criteria?<\/td><\/tr>
Bla\u017eenka Divjak, Barbi Svetec, Petra Vondra, Josipa Ba\u0111ari and Darko Grabar<\/td>LeDA: Learning Design with an AI Assistant<\/td><\/tr>
Adit Gupta, Jennifer Reddig, Tommaso Cal\u00f2, Daniel Weitekamp and Christopher Maclellan<\/td>Beyond Final Answers: Evaluating Large Language Models for Math Tutoring<\/td><\/tr>
Xinying Hou, Carol Forsyth, Jessica Andrews-Todd, James Rice, Zhiqiang Cai, Yang Jiang, Diego Zapata-Rivera and Art Graesser<\/td>An LLM-enhanced Multi-Agent Architecture for Conversation-Based Assessment<\/td><\/tr>
Dishank Aggarwal, Pritam Sil, Bhaskaran Raman and Pushpak Bhattacharyya<\/td>“I understand why I got this grade”: Automatic Short Answer Grading (ASAG) with Feedback<\/td><\/tr>
Gaurav Tyagi, Meenakshi Mittal, Azalea Bailey, Gireeja Ranade and Narges Norouzi<\/td>Askademia: A Real-Time AI System for Automatic Responses to Student Questions<\/td><\/tr>
Michael Oliverio, Pier Felice Balestrucci, Luca Anselma and Alessandro Mazzei<\/td>AIML+: Enhancing AIML for the Educational Domain through Frames and Large Language Models<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Indronil Bhattacharjee and Christabel Wayllace<\/td>Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students<\/td><\/tr>
Tristan Kneisel, Fabian Vehlken and Thomas Zeume<\/td>Logical Modelling in CS education: Bridging the Natural Language Gap<\/td><\/tr>
Wengxi Li, Roy Pea, Nick Haber and Hariharan Subramonyam<\/td>CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos<\/td><\/tr>
Yongli Mou, Fatemeh Fathi, Ben Thillen and Stefan Decker<\/td>WILLM: A system for academic Writing Improvement based on Large Language Models<\/td><\/tr>
Karan Taneja, Anjali Singh and Ashok Goel<\/td>Towards a Multimodal Document-grounded Conversational AI System for Education<\/td><\/tr>
Zhaohui Li, Feiwen Xiao, Jiaju Lin, Xiaohan Zou, Qingxiao Zheng and Jinjun Xiong<\/td>StoryLab: Empowering Personalized Learning for Children through Teacher-Guided Multimodal Story Generation<\/td><\/tr>
S. Thomas Christie, Anna Rafferty, Zack Lee, Ella Cutler, Yu Tian and Husni Almoubayyed<\/td>An agentic framework for real-time pedagogical plot generation<\/td><\/tr>
Ewelina Gajewska, Micha\u0142 Wawer, Katarzyna Budzynska and Jaros\u0142aw Chudziak<\/td>Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management<\/td><\/tr>
Atsushi Shimada<\/td>Leveraging Lecture and Student Knowledge for Improved AI Chatbot Responses in Education<\/td><\/tr>
Manuel Valle Torre, Thom van der Velden, Marcus Specht and Catharine Oertel<\/td>JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks<\/td><\/tr>
Jaros\u0142aw Chudziak and Adam Kostka<\/td>AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n<\/details>\n\n\n\n

Ethics, Equity, & AIED in Society<\/summary>\n

Full Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Mohammad Hadi Nezhad, Francisco Enrique Vicente Castro, Eugene Mak, Peter Haas, Danielle Allessio, Leon Osterweil, Injila Rasul, Heather Conboy and Ivon Arroyo<\/td>Embedding Ethical Awareness in Computer Science and AI Education: The PEaRCE Approach to Responsible Computing<\/td><\/tr>
Shahina Mohd Azam Ansari, James Bywater, Sarah Lilly, Donald Brown and Jennifer Chiu<\/td>MisstepMath: A Diverse Student Mistake Dataset for AI in Mathematics Teacher Training<\/td><\/tr>
Kaixun Yang, Mladen Rakovi\u0107, Dragan Ga\u0161evi\u0107 and Guanliang Chen<\/td>Does the Prompt-based Large Language Model Recognize Students’ Demographics and Introduce Bias in Essay Scoring?<\/td><\/tr>
Aristoteles Barros, Mateus Monteiro, Luiz Rodrigues, Diego Dermeval, Ig Ibert and Seiji Isotani<\/td>Evaluating Large Language Model Quality in Resource-Constrained Environments: An Educational Stakeholders\u2019 Survey on Accuracy, Completeness, and Readability in Brazil<\/td><\/tr>
Oscar Deho, Srecko Joksimovic, Maria Vieira and Ryan Baker<\/td>Beyond Predictive Accuracy: Fairness and Bias in Predicting Test Anxiety<\/td><\/tr>
Victor Heluy Do Prado, Carla Amor Divino Moreira Delgado and Laura de Oliveira F. Moraes<\/td>A Self-Assessment for Ethical and Transparent Use of Educational Data<\/td><\/tr>
Frank Stinar and Nigel Bosch<\/td>Surveying Contextualized Student Data Sharing Preferences for Educational AI<\/td><\/tr>
Sung-Eun Kim, Kyuwon Kim, Jeanhee Lee, Yeji Ko, Yue Wang and Hyo-Jeong So<\/td>Dilemmas in AI Ethics: A Digital Game for Moral Reasoning and Collective Decision-Making<\/td><\/tr>
Summer Chambers and Matthew C. Kelley<\/td>The misclassification of autistic writing as AI-generated<\/td><\/tr>
James Drimalla, Matthew Korban and Jonathan Foster<\/td>Investigating Racial and Skin Tone Biases in Automated Classification of Teachers\u2019 Activities in Classroom Videos<\/td><\/tr>
Valentina Rossi, Teresa Scantamburlo and Alessandra Melonio<\/td>Generative AI for Non-Techies: Empirical Insights into LLMs in Programming Education for Novice Non-STEM Learners<\/td><\/tr>
Angela Stewart, Jaemarie Solyst, Xinyi Bao, Paras Sharma, Amanda Buddemeyer, Tara Nkrumah, Amy Ogan and Erin Walker<\/td>Who’s Got the Power? Data Feminism as a Lens for Designing AIED Engagement Systems<\/td><\/tr>
Matheus Arataque Uema, Seiji Isotani, Talita de Paula Cypriano de Souza, Ig Ibert Bittencourt and Diego Dermeval<\/td>A long-term AIEd Unplugged framework<\/td><\/tr>
Zhilin Fan, Penghe Chen and Yu Lu<\/td>Why Did the AI Suggest That? Designing an Explainable Educational Counseling System<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Paulo Vitor Teodoro, Vinicius Freire, Deuzelita Gomes and Liliane Silva<\/td>Exploring the Use of Artificial Intelligence and Qualitative Reasoning in Science Education: A Review of Lusophone Literature (2000\u20132024)<\/td><\/tr>
Valeria Cesaroni, Eleonora Pasqua, Piercosma Bisconti and Martina Galletti<\/td>A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach<\/td><\/tr>
Camila Hidalgo and Noha Lea Halim<\/td>Generative AI in K-12 Education Policy: A Global Review<\/td><\/tr>
Thilo Dieing and Lea Cohausz<\/td>Where’s the f***ing filter? A Survey on Handling Problematic and Sensitive Questions in Open Educational Chatbots<\/td><\/tr>
Shashank Sonkar, Naiming Liu and Richard Baraniuk<\/td>MSR: Many-Shot Regurgitation Prompting for Long Educational Text Documents<\/td><\/tr>
Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field Watts, Ehsan Latif, Lei Liu, Ninghao Liu and Xiaoming Zhai<\/td>AI Bias and Disparities on English Language Learners<\/td><\/tr>
Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steve Ritter, Ryan Baker, Jaclyn Ocumpaugh and Nigel Bosch<\/td>Exploring Student Identity in Adaptive Learning Systems through Qualitative Data<\/td><\/tr>
Abdelghafour Aboukacem, Loubna Mekouar, Youssef Iraqi, El Houcine Bergou and Ismail Berrada<\/td>On the Fairness of Ensemble Learning Methods in Student Dropout Prediction<\/td><\/tr>
Venkata Nagaraju Buddarapu and Collin Lynch<\/td>Embedding Conversational Safety in AI for Education<\/td><\/tr>
Daniela Inclezan and Luis I. Pradanos<\/td>Where is the Environment in AI Ethics? Integrating Ecoliteracy into AI Literacy<\/td><\/tr>
Artur Cavalcante de Jesus, Leonardo Brand\u00e3o Marques, Diego Carvalho Do Nascimento and Bruno Almeida Pimentel<\/td>Understanding Public School Enrollment Trends in the Northeast of Brazil: unraveling features through AI related to the learning process for low-income students<\/td><\/tr>
Jaeyoon Choi and Nia Nixon<\/td>Agentic Men, Communal Women?: Exploring Gender Bias in LLM-Based Leadership Identification for Collaboration Analytics<\/td><\/tr>
Jihyun Rho and Shamya Karumbaiah<\/td>Authenticity or alienation: Latine students\u2019 perceptions of stereotypes in AI-generated educational materials<\/td><\/tr>
Yue Wang, Yeji Ko, Kyuwon Kim, Sung-Eun Kim and Hyo-Jeong So<\/td>FLIP: Tabletop Role-Play Game for AI Ethics Education through Cognitive Dissonance<\/td><\/tr>
Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke and Rene Kizilcec<\/td>Evaluating an AI Tutor for Bias Across Different Foundation Models<\/td><\/tr>
Ashwin T S, Nihar Sanda, Umesh Timalsina and Gautam Biswas<\/td>Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias<\/td><\/tr>
Miri Sarid, Rony Tutian, Hilit Maizel and Maya Kalman Halevi<\/td>AI Dependency and adjustment to Higher Education: A Comparative Study of Students with Diagnosed, Suspected, and No Learning Disabilities<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n<\/details>\n\n\n\n

Human-Centered Design & Design-Based Research<\/summary>\n

Full Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Tomohiro Nagashima, Martina Vincoli, Niklas Scholz and Man Su<\/td>Understanding Students\u2019 Nuanced Views on AI-Supported Classroom Learning through Perspective Taking<\/td><\/tr>
Shamya Karumbaiah, Yaxuan Yin and Aayush Bharadwaj<\/td>AIBAT: AI Behavior Analysis Tool for Teacher-Driven Contextual Evaluation of Language Models in Education<\/td><\/tr>
Ratan Sebastian and Anett Hoppe<\/td>Supporting Teachers through AI-augmented Web Search for Educational Resource Discovery<\/td><\/tr>
Stefano D’Urso, Ziqi Pan, Alexandra Cristea and Filippo Sciarrone<\/td>From Test Scores to Neural Spikes: Predicting Students\u2019 Abstract Reasoning Ability Using EEG with Attention-Based Models<\/td><\/tr>
Soo Hyoung Joo and Eunhye Grace Ko<\/td>\u201c[AI peers] are people learning from the same standpoint\u201d: Perception of AI characters in a Collaborative Science Investigation<\/td><\/tr>
Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi and G\u00e1bor Kismih\u00f3k<\/td>Designing Effective LLM-Assisted Interfaces for Curriculum Development<\/td><\/tr>
Xinyi Lu, Aditya Mahesh, Zejia Shen, Mitchell Dudley, Larissa Sano and Xu Wang<\/td>Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use<\/td><\/tr>
Burcu Arslan, Thomas Wilschut, Hedderik van Rijn and Maarten van der Velde<\/td>Evidence-Based Dynamic Personalization for Learning and Assessment Tools (ED-PLAT): Machine- and Learner-Driven Adaptation to Support All Learners<\/td><\/tr>
Sandra Sawaya and Sidney D’Mello<\/td>Sense-Making with an AI-Enhanced Coaching Tool: A Think-Aloud Study<\/td><\/tr>
Alina A. Karl, Emily Theophilou and Davinia Hernandez-Leo<\/td>Artificial Fantasy: The Effect of Generative AI on Cognitive Empathy in Creative Problem Solving<\/td><\/tr>
Zihan Wu, Yicheng Tang and Barbara Ericson<\/td>Learner and Instructor Needs in AI-Supported Programming Learning Tools: Design Implications for Features and Adaptive Control<\/td><\/tr>
Julian Marvin Joers and Ernesto William De Luca<\/td>LLM-Enhanced Exploratory Learning with LaLaMoSuLe: Understanding the Interplay between AI-Powered Educational Interfaces, Eudaimonic Experience, Autonomy, and Competence Perceptions<\/td><\/tr>
Momin Siddiqui, Vryan Feliciano, Roy Pea and Hari Subramonyam<\/td>AI in the Writing Process: How Purposeful AI Support Fosters Student Writing<\/td><\/tr>
Annie Yuan, Andrew Fang, Danny Liu and Judy Kay<\/td>OLiMent: Conversations about Open Learner Modelling to Help Learners Understand and Self-assess Learning Goals<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Alyssa Olthof, Isabella Saccardi and Judith Masthoff<\/td>Decoding Peer Assessment: an Algorithm to Navigate Group Problems Detection<\/td><\/tr>
Adrienn Toth, Neele Roch, No\u00e9 Zufferey and Verena Zimmermann<\/td>“I would share it, but…” Exploring Ways to Optimize the Privacy-Personalization Trade-Off in Intelligent Tutoring Systems<\/td><\/tr>
Alina Guha, Shamya Karumbaiah, Cynthia Baeza, Mariana Castro, Kiyo White and Diego Roman<\/td>Teacher Perceptions on AI Support for Bi\/multilingual Learners: Superpowers and Constraints<\/td><\/tr>
Si Chen, Reid Metoyer, Khiem Le, Adam Acunin, Izzy Molnar, Alex Ambrose, James Lang, Nitesh Chawla and Ronald Metoyer<\/td>Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors<\/td><\/tr>
Conrad Borchers, Cindy Peng, Qianru Lyu, Paulo F. Carvalho, Kenneth R. Koedinger and Vincent Aleven<\/td>Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study<\/td><\/tr>
Jordan Barria-Pineda, Deniz Sonmez Unal, Kamil Akhuseyinoglu, Erin Walker and Peter Brusilovsky<\/td>Using Self-Regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming<\/td><\/tr>
Seiyon Lee, Hongming Li, Shan Zhang, Eric Zhong, Ji-Eun Lee and Anthony F. Botelho<\/td>So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making<\/td><\/tr>
Eman Ganaiem, Tanja K\u00e4ser and Ido Roll<\/td>Towards A Student-Facing Dashboard to Support Learning of Inquiry Competencies in Interactive Simulations<\/td><\/tr>
Ailiya Borjigin and Zhiqi Shen<\/td>Co-Creation Through Collaboration-of-Experts (CoE): A Multi-Agent Approach to Enhancing Creative Risk-Taking and Equity in AI-Driven Education<\/td><\/tr>
Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger and Vincent Aleven<\/td>Involving Parents and Caregivers in Intelligent Tutoring Systems: A Design Probe Study<\/td><\/tr>
Qingxiao Zheng, Abhinav Choudhry, Zihan Liu, Parisa Rabbani, Yuting Hu, Abbie Olszewski, Yun Huang and Jinjun Xiong<\/td>Towards AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals<\/td><\/tr>
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho and Kenneth Koedinger<\/td>AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks<\/td><\/tr>
Kole Norberg, April Murphy, Logan De Ley, Ethan Shafran Moltz, Husni Almoubayyed and Steve Ritter<\/td>Using Generative AI to Foster Student Sense of Belonging in Mathematics<\/td><\/tr>
Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta, Shazia Sadiq and Hassan Khosravi<\/td>From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning<\/td><\/tr>
Qianru Lyu, Wenli Chen and Kok Hui John Gerard Heng<\/td>From Screens to Peers: Using Deep Learning Models for Visual Attention Shifts Analysis in Technology-Enhanced Classrooms<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n
Learning, Teaching, & Pedagogy<\/summary>\n

Full Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla and Christopher Brooks<\/td>Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education<\/td><\/tr>
Catherine Chase and Ross Venook<\/td>ChatGPT as a Peer Review Support: Impact on Feedback Quality, Quantity, and Student Perceptions<\/td><\/tr>
Konrad Maciborski, Karolina Wysocka, Karolina \u017belazowska-Byczkowska, Styliani Kleanthous and Adam Wierzbicki<\/td>Boosting Data Literacy: The Role of AI in Teaching Detection of the Deceptive Charts<\/td><\/tr>
Guangji Yuan, Monica Ong, Chew Lee Teo, Peter Seow, Munirah Binte Shaik Kadir, Shu Shing Lee, Nanditha Das and Beverly Anne Devakishen<\/td>Designing an innovative learning space for building a better community: AI-Coding Hackathon<\/td><\/tr>
Olga Manakina and Kasia Muldner<\/td>Do students learn more if given access to LLMs and self-explanation prompts?<\/td><\/tr>
Newnew Deng, Edward Liu and Xiaoming Zhai<\/td>Understanding University Students\u2019 Uses of Generative AI: The Role of Demographics and Personality Traits<\/td><\/tr>
Percy Jardine<\/td>Towards Smarter Decision-Making in Collaborative Problem Solving With Optimized Communication Networks<\/td><\/tr>
Mahir Akgun and Sacip Toker<\/td>Struggle First, Prompt Later: How Task Complexity Shapes Learning with GenAI-Assisted Pretesting<\/td><\/tr>
Yuki Nagae, Lechen Zhang and Liliana Farias<\/td>The Effects of Professional Development Training in AI on Teachers’ AI Literacy<\/td><\/tr>
Pingjing Yang, Jennifer Cromley and Jana Diesner<\/td>More Expert-like Eye Gaze Movement Patterns are Related to Better X-ray Reading<\/td><\/tr>
Anna Radtke, Jennifer Meyer and Nikol Rummel<\/td>Learners\u2019 Awareness of AI as Originator of an Academic Text During Revision: An Exploratory Study<\/td><\/tr>
James Bywater, Sarah Lilly and Jennie Chiu<\/td>Labeling Disagreements: Illuminating the Classification of Mathematics Teacher Questions<\/td><\/tr>
Ilona Buchem, Robin Bedemann and Felix Gers<\/td>Job Interview Training with RAG-LLM: An Experimental Study with the Furhat Robot<\/td><\/tr>
Annamarie Brosnihan, Megan Wiedbusch, Cameron Marano, Maral Karimi, Matthew Moreno, Tara Delgado, Oscar Tidwell and Roger Azevedo<\/td>Balancing Emotional and Motivational Self-Regulatory Processes during Complex Learning with Intelligent Tutoring Systems<\/td><\/tr>
Rahul Dass, Rochan Madhusudhana, Erin Deye, Shashank Verma, Timothy Bydlon, Grace Brazil and Ashok Goel<\/td>Enhanced Question-Answering for Skill-based Learning using Knowledge-based AI and Generative AI<\/td><\/tr>
Anna Wr\u00f3blewska, Bartosz Grabek, Jakub \u015awistak and Daniel Dan<\/td>Evaluating LLM-Generated Q\\&A Test: A Student-Centered Study<\/td><\/tr>
Jamie Mikeska, Beata Beigman Klebanov, Aakanksha Bhatia, Shreyashi Halder and Michael Suhan<\/td>Evaluating the Use of Generative Artificial Intelligence to Support Learning Opportunities for Teachers to Practice Engaging in Key Instructional Skills<\/td><\/tr>
Juliana Barros, Laura O. Moraes, Fernanda Duarte Vilela Reis Oliveira and Carla Delgado<\/td>Large Language Models Generating Feedback for Students of Introductory Programming Courses<\/td><\/tr>
Maomi Ueno, Emiko Tsutsumi and Yoshimitsu Miyazawa<\/td>Probability-based scaffolding system using Sliding Hidden Markov IRT for longitudinal learning<\/td><\/tr>
Yang Pian<\/td>Leveraging Large Language Models to Enhance the Inner Loops of Intelligent Tutoring Systems<\/td><\/tr>
Liqun He, Xin Guan, Xianyu Yi, Kazuya Saito, Mutlu Cukurova and Manolis Mavrikis<\/td>Supporting L2 Learners’ English Oral Proficiency Development with a GenAI Voice Chatbot: The Case of KELLY<\/td><\/tr>
Nicholas Diana and John Stamper<\/td>Detecting Informal Reasoning Errors in Spoken Arguments: A Difficulty Factors Assessment of Distracted Reasoning<\/td><\/tr>
Toni V. Earle-Randell, Shan Zhang, Noah Schroeder, Kristy Elizabeth Boyer and Emmanuel Dorley<\/td>How Virtual Agents Can Shape Human-Human Collaboration: A Systematic Review<\/td><\/tr>
Shatha N. Alkhasawneh, Davinia Hern\u00e1ndez-Leo and Georgios Lampropoulos<\/td>Generative AI in Learning Design: A Systematic Review<\/td><\/tr>
Conrad Borchers, Alex Houk, Vincent Aleven and Kenneth R. Koedinger<\/td>Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring<\/td><\/tr>
Harsh Kumar, David Rothschild, Daniel Goldstein and Jake Hofman<\/td>Math Education With Large Language Models: Peril or Promise?<\/td><\/tr>
Sandra Sawaya, Jennifer Jacobs, Robert Moulder, Chelsea Chandler, Brent Milne, Tom Fischaber and Sidney D\u2019Mello<\/td>Improving Tutor Discourse Practices via AI-Enhanced Coaching: A Piecewise Latent Growth Curve Modeling Approach<\/td><\/tr>
Candace Walkington, Theodora Beauchamp, Andrew Lan and Tiffini Pruitt-Britton<\/td>The Efficiency of Teacher-Driven Context Personalization in Mathematics with Large Language Models<\/td><\/tr>
Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing, G\u00f6khan G\u00fclfidan and Linlin Wu<\/td>Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application<\/td><\/tr>
Andrew Olney and Whitney Cade<\/td>Learning by Correcting AI Errors: Effort is Essential<\/td><\/tr>
Chloe Qianhui Zhao, Jie Cao, Eason Chen, Kenneth R. Koedinger and Jionghao Lin<\/td>SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions<\/td><\/tr>
Ashish Gurung, Jionghao Lin, Jordan Gutterman, Danielle R Thomas, Alex Houk, Shivang Gupta, Emma Brunskill, Lee Branstetter, Kenneth Koedinger and Vincent Aleven<\/td>Human Tutoring Increases AI Tutor Use, Leading to Better Learning Outcomes<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Steven Moore, Lydia Eckstein, Christine Kwon and John Stamper<\/td>Exploring GenAI\u2019s Role in Instructional Design: An A\/B Experiment on Learning and Self-Efficacy<\/td><\/tr>
Shi Ding, Jason Brent Smith and Brian Magerko<\/td>Considering Large Language Models Integrations in Expressive Computer Science Learning Environments for Blind and Visually Impaired Learners through Co-design<\/td><\/tr>
Mohamed Elhayany and Christoph Meinel<\/td>When GPT-4 Goes to Class: Benchmarking MOOCs and Enhancing Course Design with AI<\/td><\/tr>
Yushuang Liu, Ido Davidesco, Bruce McLaren, J Elizabeth Richey, Xiaorui Xue, Leah Teffera, Hayden Stec, Jiayi Zhang, Suyi Liu and Elana Golumbic<\/td>Utilizing Log-based and Neurophysiological Measures to Understand Engagement and Learning with Intelligent Tutoring Systems<\/td><\/tr>
Xiaoshan Huang, Haolun Wu, Xue Liu and Susanne Lajoie<\/td>What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System<\/td><\/tr>
Adetunji Adeniran and Manal Ali Alhathli<\/td>Beyond Code: Leveraging ChatGPT to Enhance (Not Replace) Traditional Programming Education.<\/td><\/tr>
Ivan Orozco Vasquez, Romina Mahinpei, Cristina Conati and Noureddine Elouazizi<\/td>An Emergent Bottom-Up Categorization of Students\u2019 LLMs Usage in an Undergraduate Research Course<\/td><\/tr>
Lingxi Jin, Baicheng Lin, Mengze Hong, Hyo-Jeong So and Kun Zhang<\/td>Learning by Teaching: Enhancing Music Learning Through LLM-Based Teachable Agents<\/td><\/tr>
David Otten, Pantelis Papadopoulos, Maryam Amir Heari and Maaike Endedijk<\/td>Searching for Transactivity in a Collaborative Chat: Analysis of Novelty and Reference with GenAI<\/td><\/tr>
Tami Seifert and Taly Tzamir Levi<\/td>Risk or Promise: Educators\u2019 Perspectives on Student Use of ChatGPT<\/td><\/tr>
Snigdha Agarwal, Vinay Namboodiri and C.V Jawahar<\/td>LipMOOC: A Modular Synthetic MOOC for Lipreading<\/td><\/tr>
Boxuan Ma, Liyuan Guo, Tianyuan Yang and Jihong Ding<\/td>How Generative AI Impact Student Emotion and Engagement in Programming Tasks?<\/td><\/tr>
Debarshi Nath, Dragan Gasevic, Yizhou Fan and Ramkumar Rajendran<\/td>How do learners read the content in a multi-source reading-to-write task? – A multimodal study<\/td><\/tr>
Andrew Olney, Sidney D’Mello, Natalie Person, Whitney Cade, Patrick Hays, Claire Dempsey, Blair Lehman, Betsy Sanders and Arthur Graesser<\/td>Efficacy of a Computer Tutor that Models Expert Human Tutors<\/td><\/tr>
Cameron Marano, Megan Wiedbusch, Annamarie Brosnihan, Matthew Moreno, Milla Sherman, Maral Karimi, Tara Delgado and Roger Azevedo<\/td>Examining the Influence of Students\u2019 Personality on Self-Regulatory Behaviors and Learning Outcomes During Complex Learning with MetaTutor<\/td><\/tr>
Sonia Proust-Androwkha, Val\u00e9ry Psych\u00e9, Revekka Kyriakoglou, Anis Boubaker, S\u00e9bastien Lall\u00e9, Lamprini Chartofylaka, Guilherme Medeiros Machado and Nour El Mawas<\/td>Beyond Programming Assistance towards the Integration of Generative AI into Computer Science Education : A Scoping Review<\/td><\/tr>
Erfan Mirhaji, Nikhil Krishnaswamy, Jill Zarestky, Lisa Mason, Sarath Sreedharan and Nathaniel Blanchard<\/td>HuTCH: Human Teachable Concept Highlighter for Post-hoc Visual Explanations<\/td><\/tr>
Yun He, Elaine Chen and Richard Fletcher<\/td>Exploring Generative AI in Learning: Neurodivergent and Disabled Students’ Voices in Higher Education<\/td><\/tr>
Leo Lepp\u00e4nen, Lili Aunimo, Arto Hellas, Jukka K. Nurminen and Linda Mannila<\/td>Emergence of LLMs: (Not-so-)Significant Delving in Essay Answers in a MOOC on the Ethics of AI<\/td><\/tr>
Alka Bhushan, Nirav Bhatt, Anik Bhowmick, Patrick Vincent Ndowo, Sukanya Tukaram Naik, Ramadhan Mwinyi Pembe and Adhil Ahmed P M Shums<\/td>Can Open Source LLMs Generate Math Questions at Graduate Level Courses? An Empirical Study of Linear Algebra Course<\/td><\/tr>
Ehsan Bojnordi, Antonija Mitrovic, Matthias Galster, Sanna Malinen and Jay Holland<\/td>Fostering Interactive Engagement in Active Video Watching via Adaptive Comment Recommendations<\/td><\/tr>
Lukas Spirgi<\/td>The Role of AI Disclosure in Academic Grading: Lecturer Perceptions, Challenges, and Implications<\/td><\/tr>
Charanya Ramakrishnan, Steve Cassidy and Matt Bower<\/td>Analysis of Students’ GenAI Prompts during a Practical SQL Test<\/td><\/tr>
Zhen Xu, Xinjin Li, Yingqi Huan, Veronica Minaya and Renzhe Yu<\/td>When and Where Are LLMs Good for Curricular Analytics? A Comprehensive Evaluation of Skill Extraction Tasks<\/td><\/tr>
Ahsen \u00c7ini, Pantelis Papadopoulos, Adelson de Araujo and Jara Martens<\/td>The Impact of AI-Based Collaborative Conversational Agents on Metacognitive Awareness<\/td><\/tr>
Nicholas Diana<\/td>Reducing the Impact of Bias on the Identification of Logical Fallacies in Spoken Arguments with Value-Adaptive Instruction<\/td><\/tr>
Shatha N. Alkhasawneh, Davinia Hern\u00e1ndez-Leo and Yannis Dimitriadis<\/td>Experts\u2019 Views on Generative AI\u2019s Speculative Functions in Learning Design<\/td><\/tr>
Lukas Erle, Thomas Hoss, Isabel Peltzer and Sabrina C. Eimler<\/td>Opportunities and Challenges of Generative AI in Education through the Eyes of Students and Educators: A Qualitative Interview Approach<\/td><\/tr>
Yugo Hayashi, Shigen Shimojo and Tatsuyuki Kawamura<\/td>Collaborative Learning Driven by an Erroneous Teachable Agent Leveraging Different Perspectives: Comparing Egocentric vs. Exocentric Feedback using ACT-R<\/td><\/tr>
Maria Mercedes T. Rodrigo, Samantha Castaneda, James Alvir Maclin V. Alaan, Paolo Santino P. Caoile, Alec Isaiah Dayupay, Roswold Jemuel Sanchez and Eric Cesar Jr. E. Vidal<\/td>Evaluation of a GenAI-based Virtual Patient for Philippine Medical Education<\/td><\/tr>
Salome Aguilar Llanes, Mar\u00eda Fernanda Albo Alarc\u00f3n and Bernardo Garc\u00eda Bulle Bueno<\/td>Expanding Access to Tutoring: A Scalable Platform for Personalized Learning and Data-Driven Research<\/td><\/tr>
Rahul Divekar, Sophia Guerra, Lisette Gonzalez, Natasha Boos and Yalun Zhou<\/td>From Course to Skill: Evaluating Large Language Model Performance in Curricular Analytics<\/td><\/tr>
Fatma Bet\u00fcl G\u00fcre\u015f, Tanya Nazaretsky, Bahar Radmehr, Martina Rau and Tanja K\u00e4ser<\/td>Explore First, Transfer Far: How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning<\/td><\/tr>
Olga Viberg, Jacqueline Wong, Yael Feldman Maggor, Nora Dunder and Carrie Demmans Epp<\/td>Chatting with Code: Exploring LLMs as Learning Partners in Programming Education<\/td><\/tr>
Ethel P. Beluzzi, Bruna O. Cassetari, Renan L. A. Vital, Tyagi M. Lima, Marcela N. Pianucci, Mario A. P. Santos and Mariana G. Mello<\/td>Designing LLM-Based Study Guides and Personalized Feedback in Brazilian Higher Education: A Skill-Focused Approach to Learning and Assessment Perceptions<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n
Machine Learning & Generative AI<\/summary>\n

Full Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Zhaohui Li, Yusuf Akemoglu, Jincheng Lyu, Qingxiao Zheng and Jinjun Xiong<\/td>ASD-HI: A New Parent-child Interaction Dataset for Automated Assessment of an ASD Home-based Intervention<\/td><\/tr>
Manh Hung Nguyen, Victor-Alexandru P\u0103durean, Alkis Gotovos, Sebastian Tschiatschek and Adish Singla<\/td>Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents<\/td><\/tr>
Sergio Chevtchenko, Nikhil Navas, Rafaella Vale, Franco Ubaudi, Sipumelele Lucwaba, Cally Ardington, Soheil Afshar, Mark Antoniou and Saeed Afshar<\/td>An End-to-End Approach for Child Reading Assessment in the Xhosa Language<\/td><\/tr>
Badmavasan Kirouchenassamy, Amel Yessad, S\u00e9bastien Jolivet, Matthieu Branth\u00f4me, S\u00e9bastien Lall\u00e9 and Vanda Luengo<\/td>Learning Feedback Policy from Historical Data: An Offline Approach within Pyrates<\/td><\/tr>
Manikandan Ravikiran, Tarun Sharma, Arnav Bhavsar and Rohit Saluja<\/td>GISA: Gradual Information Selection Attention for MCQ Difficulty Estimation<\/td><\/tr>
Zhonghua Sheng, Shuyu Shen, Leixian Shen, Qiqi Duan, Nan Tang, Pan Hui, Huamin Qu and Yuyu Luo<\/td>Automatic Modeling and Analysis of Students’ Problem-Solving Handwriting Trajectories<\/td><\/tr>
Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard Baraniuk and Andrew Lan<\/td>Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues<\/td><\/tr>
Vimukthini Jayalath, Abhinava Barthakur, Shane Dawson, Joanne Tingey, Lin Crase and Vitomir Kovanovi\u0107<\/td>Scaling Curriculum Mapping in Higher Education: Evaluating Generative AI\u2019s Role in Curriculum Analytics<\/td><\/tr>
Sinuo Wang, Wei Liu, Jixuan Wang, Yingying Yi and Jing Xu<\/td>DrawAA-Net: An AI-Supported Evaluation Tool for Children\u2019s Drawings<\/td><\/tr>
Danielle R Thomas, Conrad Borchers, Shambhavi Bhushan, Sanjit Kakarla, Alex Houk, Ralph Abboud, Erin Gatz, Shivang Gupta and Kenneth R Koedinger<\/td>Improving Open-Response Assessment with LearnLM<\/td><\/tr>
Kester Wong, Bin Wu, Sahan Bulathwela, and Mutlu Cukurova<\/td>Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models<\/td><\/tr>
Mehmet Arif Demirtas, Claire Zheng, Max Fowler and Kathryn Cunningham<\/td>Generating Planning Feedback for Open-Ended Programming Exercises with LLMs<\/td><\/tr>
Abigail O’Neill, Kanav Mittal, Hanna Schlegel, Gireeja Ranade and Narges Norouzi<\/td>Modeling Student Knowledge Progression in Intelligent Tutoring Interactions<\/td><\/tr>
S\u00e9bastien Lall\u00e9, Sina Nikneshan, Sol\u00e8ne Lambert, Vanda Luengo and Ali Abou-Hassan<\/td>Automated Detection of Attention and Memory in Educational Videos Using Eye-Tracking, Dynamic Areas of Interest and Feature Fusion<\/td><\/tr>
Jessica Vitale, Berk Kocabagli, Shyamoli Sanghi, Alyssa Van Camp, Sarah Miller and Berk Coker<\/td>From Noisy Classroom Transcripts to Actionable Feedback: Fine-Tuning GPT-4o to Detect Teachers\u2019 Opportunities to Respond<\/td><\/tr>
Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger and Jionghao Lin<\/td>From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation<\/td><\/tr>
Cheng Tang, Bin Li, Haichuan Yang, Gen Li, Li Chen, Boxuan Ma and Atsushi Shimada<\/td>Ensemble dendritic neuron models for visual analytics of learning behavior and early risk prediction<\/td><\/tr>
Eduardo Davalos, Yike Zhang, Namrata Srivastava, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas and Amanda Goodwin<\/td>LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports<\/td><\/tr>
Sierra Wang, John Mitchell and Chris Piech<\/td>AI Web Agents Can Effectively Guide Lesson Design and Predict Student Outcomes<\/td><\/tr>
Markos Stamatakis, Joshua Berger, Christian Wartena, Ralph Ewerth and Anett Hoppe<\/td>Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos<\/td><\/tr>
Yang Jiang, Jiangang Hao, Wenju Cui, Emily Kerzabi and Patrick Kyllonen<\/td>Uncovering Transferable Collaboration Patterns Across Tasks Using Large Language Models<\/td><\/tr>
Conrad Borchers and Tianze Shou<\/td>Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study<\/td><\/tr>
Hyeon Jin, Chaewon Yoon and Hyun-Je Song<\/td>Curriculum Planning for Independent Majors with Large Language Models<\/td><\/tr>
Samuel Hum, Matt Gadbury, Jeffrey Ginger and H. Chad Lane<\/td>BarrelBots: ChatGPT Feedback for Middle School Student Creative Minecraft Artifacts<\/td><\/tr>
Yeo Jin Kim, Daeun Hong, Wookhee Min, Snigdha Chaturvedi, Cindy Hmelo-Silver and James Lester<\/td>Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering<\/td><\/tr>
Sebastian Simon, Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Sreecharan Sankaranarayanan, Francesco Balzan, Sebastian Strauss, Sree Aurovindh Viswanathan, Amine Hatun Ata\u015f, Mia \u010carapina, Li Liang and Berkan Celik<\/td>Comparing Human and LLM-Generated Inductive Thematic Analyses: Assessing Agreement in Coding Consistency and Interpretative Accuracy<\/td><\/tr>
Priyanka Khare, Halim Acosta, Dan Carpenter, Haesol Bae, Chen Feng, Bradford Mott, Seung Lee, Krista Glazewski, Cindy Hmelo-Silver and James Lester<\/td>Predicting Facilitator Interventions in Collaborative Game-Based Learning with Student Dialogue Analysis<\/td><\/tr>
Mariah Bradford, Nikhil Krishnaswamy and Nathaniel Blanchard<\/td>The Impact of Background Speech on Interruption Detection in Collaborative Groups<\/td><\/tr>
Zhifei Hu, Alexandra I Cristea and Feng Xia<\/td>Integrating GNN and Knowledge Graph Patches in MOOC Recommendation<\/td><\/tr>
Yu Wang, Madhumitha Gopalakrishnan and Yoav Bergner<\/td>Using Generated Rubrics to Provide a Window into Item Evaluation with Multi-Agent LLMs<\/td><\/tr>
Jadon Geathers, Yann Hicke, Colleen Chan, Niroop Rajashekar, Sarah Young, Justin Sewell, Susannah Cornes, Rene Kizilcec and Dennis Shung<\/td>Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs)<\/td><\/tr>
Soroush Hashemifar and Sherry Sahebi<\/td>Personalized Student Knowledge Modeling for Future Learning Resource Prediction<\/td><\/tr>
Zhiwei Huang and Zitao Liu<\/td>HCGKT: Hierarchical Contrastive Graph Knowledge Tracing with Multi-level Feature Learning<\/td><\/tr>
Ange Tato and Roger Nkambou<\/td>Can LLM Generate Accurate Bayesian Networks to Enhance Knowledge Tracing ?<\/td><\/tr>
Daniel Weitekamp, Momin Siddiqui and Christopher Maclellan<\/td>TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students<\/td><\/tr>
Inti Bistolfi, Susanne de Mooij, Joep van der Graaf and Inge Molenaar<\/td>Towards Real-time Automated Self-Regulated Learning Detection in Essays<\/td><\/tr>
Md Mirajul Islam, Xi Yang, Rajesh Debnath, Adittya Soukarjya Saha and Min Chi<\/td>A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies<\/td><\/tr>
Martha Shaka, Diego Carraro and Kenneth N. Brown<\/td>Personalised Code and Error predictions in programming education via Large Language Models<\/td><\/tr>
Wolfgang Gritz, Hewi Salih, Ralph Ewerth and Anett Hoppe<\/td>From Formulas to Figures: How Visual Elements Impact User Interactions in Educational Videos<\/td><\/tr>
Shir Drive and Ido Roll<\/td>Towards a Task-Agnostic Assessment of Self-Regulated Learning in Modeling Activities<\/td><\/tr>
Chenyan Zhao, Mariana Silva and Seth Poulsen<\/td>Language Models are Few-Shot Graders<\/td><\/tr>
Wanyong Feng, Peter Tran, Stephen Sireci and Andrew Lan<\/td>Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs<\/td><\/tr>
Alessio Ferrato, Carla Limongelli, Daniele Schicchi, Davide Taibi and Edoardo Cipriano<\/td>Leveraging Large Language Models to Assist Teachers in Code Grading<\/td><\/tr>
Ying Na and Shihui Feng<\/td>LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding<\/td><\/tr>
Boxuan Ma, Sora Fukui, Yuji Ando and Shinichi Konomi<\/td>Personalized Language Learning Using Spaced Repetition Scheduling<\/td><\/tr>
Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Cam\u00e9lia Guerraoui, Michael Zock, Keisuke Sakaguchi and Kentaro Inui<\/td>Annotating Errors in English Learners\u2019 Written Language Production: Advancing Automated Written Feedback Systems<\/td><\/tr>
Jaewook Lee, Jeongah Lee, Wanyong Feng and Andrew Lan<\/td>From Text to Visuals: Using Large Language Models to Generate Math Diagrams with Vector Graphics<\/td><\/tr>
Naiming Liu, Shashank Sonkar and Richard Baraniuk<\/td>Do LLMs Make Mistakes Like Students? Exploring Natural Alignment in Language Model and Human Error Patterns<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Anisha Gupta, Wookhee Min, Dan Carpenter, Roger Azevedo and James Lester<\/td>Improving Student Modeling in Game-Based Learning with Multi-Task Learning for Stealth Assessment and Goal Recognition<\/td><\/tr>
Shengxin Hong, Chang Cai, Haiyue Feng, Sixuan Du, Siyuan Liu and Xiuyi Fan<\/td>“My Grade is Wrong!”: A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays<\/td><\/tr>
Jade Mai Cock, Valentine Delevaux, Ido Roll, Richard Lee Davis and Tanja K\u00e4ser<\/td>One Code to Predict Them All: Universal Encoding for Inquiry Modeling<\/td><\/tr>
Mitra Purandare, Tobias Rothlin, Frieder Loch, Lars-Jochen Thoms and Johannes Huwer<\/td>SMARE: Structure Matching and Recognition Engine For Hand-Drawn Chemical Formulas<\/td><\/tr>
Tengju Li, Cunling Bian, Kaiquan Chen and Weigang Lu<\/td>Large Language Models for Zero-Shot Exercise Recommendation in Adaptive Learning<\/td><\/tr>
Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji and G\u00e1bor Kismih\u00f3k<\/td>LLM-Driven Personalized Answer Generation and Evaluation<\/td><\/tr>
Matthew Perez, Berk Coker, Kemal Berk Kocabagli, Jessica Vitale and Alyssa Van Camp<\/td>Multimodal Classroom Diarization with GPT Re-Scoring: Teacher or Student?<\/td><\/tr>
Sungjin Nam<\/td>Ordinal Classification for Transformer-Based Automated Essay Scoring Models<\/td><\/tr>
Wenting Sun and Jiangyue Liu<\/td>Leveraging Speech Data and Text Classification for Socially Shared Regulation Identification in Collaborative Problem Solving<\/td><\/tr>
Rick Dijkstra, Max Hinne, Eliane Segers, Josh Ring and Inge Molenaar<\/td>Predicting self-regulated learning support needs during learning<\/td><\/tr>
Tsubasa Minematsu and Atsushi Shimada<\/td>Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge<\/td><\/tr>
Xiner Liu, Zhanlan Wei, Ryan S. Baker, Shari J. Metcalf, Jiayi Zhang, Amanda Barany, Stefan Slater, Luke Swanson and David Gagnon<\/td>Integrating Large Language Models and Machine Learning to Detect Struggle in Educational Games<\/td><\/tr>
Vitor Rolim, Cleon Xavier, Luiz Rodrigues, Newarney Torrez\u00e3o da Costa, Rafael Dueire Lins, Dragan Gasevic and Rafael Ferreira Mello<\/td>The Impact of Oversampling Techniques on the Detection of Cognitive Presence<\/td><\/tr>
Yongan Yu, Alexandre Krantz and Nikki G. Lobczowski<\/td>From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models<\/td><\/tr>
Yuyan Wu, Miguel Arevalillo-Herr\u00e1ez and David Arnau<\/td>A study of the Influence of the Attention Mechanism on Knowledge Tracing<\/td><\/tr>
Takahiro Saito, Hung Tuan Nguyen, Kanako Komiya, Tsunenori Ishioka and Masaki Nakagawa<\/td>Similarity-based Scoring Model for Handwritten Answers in Japanese Workbooks<\/td><\/tr>
Chang Liu, Loc Hoang, Andrew Stolman, Ren\u00e9 F. Kizilcec and Bo Wu<\/td>Understanding Student Engagement with Large Language Model-Powered Course Assistants<\/td><\/tr>
C\u00e9dric Pruski, Marcos Da Silveira, Marie Gallais, Gabriele Marconi, Celia da Costa Pereira and Andrea Tettamanzi<\/td>Bridging Skill Gaps: Combining generative and symbolic AI for personalized lifelong learning pathways<\/td><\/tr>
Scott Frohn, Tyler Burleigh and Jing Chen<\/td>Automated Scoring of Short Answer Questions with Language Models: Impact of Model, Item, and Rubric Design<\/td><\/tr>
Lui Yoshida<\/td>Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?<\/td><\/tr>
Xunyi Gao, Shamya Karumbaiah, Adi Dalal, Indrani Dey, Dana Gnesdilow and Sadhana Puntambekar<\/td>A Comparative Analysis of LLM and Specialized NLP System for Automated Assessment of Science Content<\/td><\/tr>
Hasnain Heickal and Andrew Lan<\/td>Learning Code-Edit Embeddings to Model Student Debugging Behavior<\/td><\/tr>
Luiz Rodrigues, Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany and Ryan Baker<\/td>Usage Patterns and Performance Gains in Gamified Online Judges: A Data-driven Analysis informed by Cognitive Psychology in CS1<\/td><\/tr>
Abisha Thapa Magar, Stephen Fancsali, Vasile Rus, April Murphy, Steve Ritter and Deepak Venugopal<\/td>Analyzing Strategies in MATHia with BERT<\/td><\/tr>
Nazia Alam, Kimia Fazeli, Xiaoyi Tian, Min Chi and Tiffany Barnes<\/td>Determining Problem Type Using Deep Reinforcement Learning in an Intelligent Tutor<\/td><\/tr>
Pauline Aguinalde, Jinnie Shin, Sara Smith and Mar\u00eda S. Carlo<\/td>Modeling Linguistic Synchrony in Online L2 Tutoring: A Transformer-Based Perspective<\/td><\/tr>
Wesley Morris, Langdon Holmes, Joon Suh Choi and Scott Crossley<\/td>Uncovering Differential Sensitivity toward Linguistic Features of Cohesion in Large Language Models<\/td><\/tr>
Mark Ti\u010d, Miguel Arevalillo-Herr\u00e1ez, Yuyan Wu and Dejan Lavbi\u010d<\/td>On using Large Language Models for Rubric-Based Open Question Evaluation<\/td><\/tr>
Hai Li and Wanli Xing<\/td>Enhanced Knowledge Tracing: Leveraging Multi-Time Series Features from Interaction Process via an Attention-Based Framework<\/td><\/tr>
Adam Wynn, Jingyun Wang and Xiangyu Tan<\/td>Semi-Supervised Speech Confidence Detection using Pseudo-Labelling and Whisper Embeddings<\/td><\/tr>
Gen Li, Li Chen, Cheng Tang, Daisuke Deguchi, Takayoshi Yamashita and Atsushi Shimada<\/td>From Reflections to Motifs: A Graph-Based Analysis of Learners\u2019 Knowledge Construction<\/td><\/tr>
Andreea Dutulescu, Stefan Ruseti, Denis Iorga, Mihai Dascalu and Danielle Mcnamara<\/td>YMCQ: Reasoning-Enhanced MCQ Generation<\/td><\/tr>
Salima Lamsiyah, Aria Nourbakhsh, Samir El-Amrany and Christoph Schommer<\/td>Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI<\/td><\/tr>
Mengfei Liu, Xian Sheng, Xuequn Shang and Yupei Zhang<\/td>Learning Path Planning via Prior-Guided Reinforcement Learning<\/td><\/tr>
Rina Suzuki, Takahiro Saito, Hisao Usui, Hiroaki Ozaki, Hung Tuan Nguyen, Kanako Komiya, Tsunenori Ishioka and Masaki Nakagawa<\/td>Investigating the Influence of Automated Transcription Error Correction on Automated Grading for Handwritten Japanese Answers<\/td><\/tr>
Kiyoshige Garces, Gloria Milena Fernandez-Nieto, Mladen Rakovic, Xinju Li, Tongguang Li, Linxuan Zhao, Dragan Gasevic, Junyu Xuan and Hua Zuo<\/td>Transfer Reinforcement Learning for Self-Regulated Learning Support: An evaluation using Successor Representations<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n
Teaching AI<\/summary>\n

Full Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Xiaofei Zhou, Hanjia Lyu, Yuxin Sa, Mengfan Li, Advait Sarkar, Jiebo Luo, Michael Daley and Zhen Bai<\/td>Empower K-12 Teachers to Create ML-Supported Scientific Inquiries<\/td><\/tr>
Yiling Zhao, Audrey Michal, Nithum Thain and Hari Subramonyam<\/td>Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy?<\/td><\/tr>
Mahir Akgun and Hadi Hosseini<\/td>AI Education in a Mirror: Challenges Faced by Academic and Industry Experts<\/td><\/tr>
Cansu Koyuturk, Emily Theophilou, Sabrina Patania, Gregor Donabauer, Andrea Martinenghi, Chiara Antico, Alessia Telari, Alessia Testa, Sathya Bur\u0161i\u0107, Franca Garzotto, Davinia Hernandez-Leo, Udo Kruschwitz, Davide Taibi, Simona Amenta, Martin Ruskov and Dimitri Ognibene<\/td>Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines<\/td><\/tr>
Nurun Nahar, David Howard, Kater Akeren, Paul Hollins, Emmanuel Ngele and Graeme Prescott<\/td>Cultivating AI literacy in Higher Education students: A four-step conceptual framework<\/td><\/tr>
Jacob Puthipiroj, Thepchai Supnithi and Nongnuch Ketui<\/td>Structured Hackathons: A Pedagogical Model For AI Education<\/td><\/tr>
Zach Anthis and Manolis Mavrikis<\/td>In Search of Answers: Supporting Educators to Understand AI through Heuristic Thinking<\/td><\/tr>
Min Zhuang, Shiyan Jiang, Daria Smyslova, Carolyn Rose and Jie Chao<\/td>Epistemic Curiosity in K-12 AI education: A Trajectory Analysis<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Lechen Zhang, Linda Mannila and Jalal Nouri<\/td>Mapping the Landscape of AI Literacy: A Review of Systematic Reviews on Research Trends and Gaps<\/td><\/tr>
Chang Cai, Jamie Duell, Daisy Minghui Chen, Weng Kin Ho, Bernett Teck Kwong Lee, Fang Li, Siyuan Liu, Olivia Ng, Vidya Sudarshan, Shangming Zhou, Gaoxia Zhu and Xiuyi Fan<\/td>Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development and Training Program Design<\/td><\/tr>
Krzysztof Michalik<\/td>AI for Education, Education of AI: Exploring the Role of Explainable AI (XAI) through LogosXAI<\/td><\/tr>
Nora Patricia Hernandez Lopez, Xiao Hu and Davy Tsz Kit Ng<\/td>Insights from Culturally Relevant AI Education Programme for Secondary School Students<\/td><\/tr>
Daniel Ritchie, Tamara Tate, Yi Zhang, Kristi Werry and Mark Warschauer<\/td>Supporting Middle School English Teachers\u2019 AI Literacy Goals Through a Generative AI Tutor<\/td><\/tr>
Kai L\u00f6ser<\/td>Reading and Writing at a Distance: Integrating Corpus Literacy and AI Literacy in the Classroom<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n
Theoretical Aspects of AIED & AI-Based Modeling for Education<\/summary>\n

Full Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Zhenhui Gu, Alyssa Sha, Bernardo Nunes and Juan Perez<\/td>Effectiveness of Forgetting and Question Difficulty in Deep Knowledge Tracing<\/td><\/tr>
Vedant Bahel, Harshinee Sriram and Cristina Conati<\/td>Personalizing explanations of AI-driven hints to users\u2019 characteristics: an empirical evaluation<\/td><\/tr>
Dmitri Droujkov, Andrew Emerson, Dan Carpenter, Xiaoyi Tian, Roger Azevedo and Tiffany Barnes<\/td>Investigating the Impact of Confusion and Agency on Motivation in a Game-Based Learning Environment<\/td><\/tr>
Gerben van der Hoek, Johan Jeuring and Rogier Bos<\/td>Buggy rule diagnosis for combined steps through final answer evaluation in stepwise tasks<\/td><\/tr>
Minghao Cai, Michael Guevarra, Yalmaz Abdullah and Carrie Demmans Epp<\/td>Unveiling the Interplay Between Affect and Cognitive Load During Simulation-based Training<\/td><\/tr>
Martina Vincoli, Niklas Scholz and Tomohiro Nagashima<\/td>Multidimensional Student Agency in Learning with AI: A Conceptual Framework and Design Implications<\/td><\/tr>
Paras Sharma, Daniel Fritsch, Yuya Asano, Quentin King-Shepard, Tyree Langley, Tristan Maidment, Diane Litman, Timothy Nokes-Malach, Adriana Kovashka, Nikki Lobczowski and Erin Walker<\/td>Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot<\/td><\/tr>
Zhiwei Yang, Longtao Wang, Jiahua Yang, Rongxin Huo, Huiru Lin, Yuxuan Zhou and Weiqi Luo<\/td>Local-Global Cascaded Ensemble Learning on Hybrid Experts for Knowledge Concept Tagging<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Short Papers<\/strong><\/h3>\n\n\n\n
AUTHORS<\/th>TITLE<\/th><\/tr><\/thead>
Pablo Arnau-Gonz\u00e1lez, Yuyan Wu, Sergi Solera-Monforte, David Arnau and Miguel Arevalillo-Herr\u00e1ez<\/td>Predicting User Actions in Algebra Intelligent Tutoring Systems with Markov Models<\/td><\/tr>
Chidimma Opara<\/td>Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis of Stylometric Features<\/td><\/tr>
Guher Gorgun, Minghao Cai and Carrie Demmans Epp<\/td>Modeling Intrinsic Load: Can Item Difficulty Be a Reasonable Proxy?<\/td><\/tr>
Sein Minn and Roger Nkambou<\/td>Enhanced Interpretable Knowledge Tracing for Students\u2019 Performance Prediction with Human-understandable Feature Space<\/td><\/tr>
Yuya Asano, Diane Litman, Paras Sharma, Daniel Fritsch, Quentin King-Shepard, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker<\/td>Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot<\/td><\/tr>
Marshall An and John Stamper<\/td>Deceptive Overgeneralization in Adaptive Learning<\/td><\/tr>
Shashank Sonkar, Naiming Liu, Xinghe Chen and Richard Baraniuk<\/td>The Imitation Game for Educational AI<\/td><\/tr>
Gerben van der Hoek, Johan Jeuring and Rogier Bos<\/td>Combining model tracing and constraint-based modeling for multistep strategy diagnoses<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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