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ORCID26th AIED 2025: Palermo, Italy - Part VI
- Alexandra I. Cristea
, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani:
Artificial Intelligence in Education - 26th International Conference, AIED 2025, Palermo, Italy, July 22-26, 2025, Proceedings, Part VI. Lecture Notes in Computer Science 15882, Springer 2025, ISBN 978-3-031-98464-8
Short Papers
- Chang Liu, Loc Hoang, Andrew Stolman, René F. Kizilcec, Bo Wu:
Understanding Student Engagement with Large Language Model-Powered Course Assistants. 3-10 - Jaeyoon Choi, Nia Nixon:
Agentic Men, Communal Women?: Exploring Gender Bias in LLM-Based Leadership Identification for Collaboration Analytics. 11-18 - Cédric Pruski, Célia da Costa Pereira, Marcos Da Silveira, Gabriele Marconi, Marie Gallais, Andrea Tettamanzi:
Bridging Skill Gaps: Combining Generative and Symbolic AI for Personalized Lifelong Learning Pathways. 19-27 - Ailiya Borjigin, Zhiqi Shen:
Co-creation Through Collaboration-of-Experts (CoE): A Multi-agent Approach to Creative Risk-Taking and Equity. 28-35 - Leo Leppänen, Lili Aunimo, Arto Hellas, Jukka K. Nurminen, Linda Mannila:
Emergence of LLMs: (Not-so-)Significant Delving in Essay Answers in a MOOC on the Ethics of AI. 36-43 - Scott Frohn, Tyler J. Burleigh, Jing Chen:
Automated Scoring of Short Answer Questions with Large Language Models: Impacts of Model, Item, and Rubric Design. 44-51 - Alka Bhushan, Nirav Bhatt, Anik Bhowmick, Patrick Vincent Ndowo, Sukanya Tukaram Naik, Ramadhan Mwinyi Pembe, Adhil Ahmed P. M. Shums:
Can Open Source LLMs Generate Math Questions at Graduate Level Courses? An Empirical Study of Linear Algebra Course. 52-59 - Lui Yoshida:
Do We Need a Detailed Rubric for Automated Essay Scoring Using Large Language Models? 60-67 - Manuel Valle Torre, Thom van der Velden, Marcus Specht, Catharine Oertel:
JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks. 68-75 - Xunyi Gao, Shamya Karumbaiah, Adi Dalal, Indrani Dey, Dana Gnesdilow, Sadhana Puntambekar:
A Comparative Analysis of LLM and Specialized NLP System for Automated Assessment of Science Content. 76-82 - Ehsan Bojnordi, Antonija Mitrovic, Matthias Galster, Sanna Malinen, Jay Holland:
Fostering Interactive Engagement in Active Video Watching via Adaptive Comment Recommendations. 83-90 - Hasnain Heickal, Andrew S. Lan:
Learning Code-Edit Embeddings to Model Student Debugging Behavior. 91-98 - Luiz A. L. Rodrigues, Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Baker:
Usage Patterns and Performance Gains in Gamified Online Judges: A Data-Driven Analysis Informed by Cognitive Psychology in CS1. 99-106 - Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Involving Parents in Tutoring Systems to Increase Content Confidence: A Design Probe Study. 107-114 - Abisha Thapa Magar, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal:
Analyzing Strategies in MATHia with BERT. 115-122 - Yuya Asano, Diane J. Litman, Paras Sharma, Daniel Fritsch, Quentin King-Shepard, Timothy Nokes-Malach, Adriana Kovashka, Erin Walker:
Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot. 123-131 - Qingxiao Zheng, Abhinav Choudhry, Zihan Liu, Parisa Rabbani, Yuting Hu, Abbie Olszewski, Yun Huang, Jinjun Xiong:
AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals. 132-140 - Nazia Alam, Kimia Fazeli, Xiaoyi Tian, Min Chi, Tiffany Barnes:
Determining Problem Type Using Deep Reinforcement Learning in a Data-Driven Intelligent Tutor. 141-148 - Lukas Spirgi:
The Role of AI Disclosure in Academic Grading: Lecturer Perceptions, Challenges, and Implications. 149-156 - Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth R. Koedinger:
Identifying Effective Praise in Tutoring: Large Language Models with Transparent Explanations. 157-163 - Pauline Pauline Aguinalde, Jinnie Shin, Sara Smith, María S. Carlo:
Modeling Linguistic Synchrony in Online L2 Tutoring: A Transformer-Based Perspective. 164-171 - Marshall An, John C. Stamper:
Deceptive Overgeneralization in Adaptive Learning. 172-179 - Charanya Ramakrishnan, Steve Cassidy, Matt Bower:
Analysis of Students' GenAI Prompts During a Practical SQL Test. 180-187 - Kole Norberg, April Murphy, Logan De Ley, Ethan Shafran Moltz, Husni Almoubayyed, Steven Ritter:
Using Generative AI to Foster Student Sense of Belonging in Mathematics. 188-195 - Jihyun Rho, Shamya Karumbaiah:
Authenticity or Alienation: Latine Students' Perceptions of Stereotypes in AI-Generated Educational Materials. 196-202 - Zhen Xu, Xinjin Li, Yingqi Huan, Veronica Minaya, Renzhe Yu:
From Course to Skill: Evaluating Large Language Model Performance in Curricular Analytics. 203-211 - Ahsen Çini, Pantelis M. Papadopoulos, Adelson de Araujo, Jara Martens:
The Impact of AI-Based Collaborative Conversational Agents on Metacognitive Awareness. 212-218 - Nicholas Diana:
Reducing the Impact of Bias on the Identification of Logical Fallacies in Spoken Arguments with Value-Adaptive Instruction. 219-226 - Wesley Morris, Langdon Holmes, Joon Suh Choi, Scott A. Crossley:
Uncovering Differential Sensitivity Toward Linguistic Features of Cohesion in Large Language Models. 227-234 - Shatha N. Alkhasawneh, Davinia Hernández-Leo, Yannis A. Dimitriadis:
Experts' Views on Generative AI's Speculative Functions in Learning Design. 235-242 - Mark Tic, Miguel Arevalillo-Herráez, Yuyan Wu, Dejan Lavbic:
On Using Large Language Models for Rubric-Based Open Question Evaluation. 243-249 - Hai Li, Wanli Xing:
Enhanced Knowledge Tracing: Leveraging Multi-time Series Features from Interaction Process via an Attention-Based Framework. 250-258 - Krzysztof Michalik:
AI for Education, Education of AI: Exploring the Role of Explainable AI (XAI) Through LogosXAI. 259-265 - Adam T. Wynn, Jingyun Wang, Xiangyu Tan:
Semi-supervised Speech Confidence Detection Using Pseudo-labelling and Whisper Embeddings. 266-274 - Nora Patricia Hernández López, Xiao Hu, Davy Tsz Kit Ng:
Insights from Culturally Relevant AI Education Programme for Secondary School Students. 275-282 - Daniel Ritchie, Tamara P. Tate, Yi Zhang, Kristi Werry, Mark Warschauer:
Supporting Middle School English Teachers' AI Literacy Goals Through a Generative AI Tutor. 283-290 - Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi:
From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning. 291-298 - Gen Li, Li Chen, Cheng Tang, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada:
From Reflections to Motifs: A Graph-Based Analysis of Learners' Knowledge Construction. 299-307 - Andreea-Nicoleta Dutulescu, Stefan Ruseti, Denis Iorga, Mihai Dascalu, Danielle S. McNamara:
YMCQ: Reasoning-Enhanced MCQ Generation. 308-315 - Lukas Erle, Thomas Hoss, Isabel Peltzer, Sabrina C. Eimler:
Opportunities and Challenges of Generative AI in Education Through the Eyes of Students and Educators: A Qualitative Interview Approach. 316-323 - Salima Lamsiyah, Aria Nourbakhsh, Samir El-amrany, Christoph Schommer:
Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI. 324-332 - Mengfei Liu, Xian-Sheng Hua, Xuequn Shang, Yupei Zhang:
Learning Path Planning via Prior-Guided Reinforcement Learning. 333-340 - Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke, René F. Kizilcec:
Evaluating an AI Tutor for Bias Across Different Foundation Models. 341-348 - Yugo Hayashi, Shigen Shimojo, Tatsuyuki Kawamura:
Collaborative Learning Driven by an Erroneous Teachable Agent Leveraging Different Perspectives: Comparing Egocentric vs. Exocentric Feedback Using ACT-R. 349-356 - Maria Mercedes T. Rodrigo, Samantha Castañeda, James Alvir Maclin V. Alaan, Paolo Santino P. Caoile, Alec Isaiah Dayupay, Roswold Jemuel C. Sanchez, Eric Cesar E. Vidal Jr.:
Initial Evaluation of a GenAI-Based Virtual Patient for Philippine Medical Education. 357-363 - Salome Aguilar Llanes, Bernardo García Bulle Bueno, Fernanda Albo Alarcón, Sabastián Guevara Cota:
Expanding Access to Tutoring: A Scalable Platform for Personalized Learning and Data-Driven Research. 364-371 - Rina Suzuki, Takahiro Saito, Hisao Usui, Hiroaki Ozaki, Hung Tuan Nguyen, Kanako Komiya, Tsunenori Ishioka, Masaki Nakagawa:
Investigating the Influence of Automated Transcription Error Correction on Automated Grading for Handwritten Japanese Answers. 372-379 - Rahul R. Divekar, Sophia Guerra, Lisette Gonzalez, Natasha Boos, Yalun Zhou:
Exploring Undercurrents of Learning Tensions in an LLM-Enhanced Landscape: A Student-Centered Qualitative Perspective on LLM vs Search. 380-387 - T. S. Ashwin, Nihar Sanda, Umesh Timalsina, Gautam Biswas:
Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias. 388-395 - Miriam Sarid, Rony Tutian, Hilit Maizel, Maya Kalman-Halevi:
AI Dependency and Adjustment to Higher Education: A Comparative Study of Students with Diagnosed, Suspected, and No Learning Disabilities. 396-404 - Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk:
Turing-Like Test for Personalized Educational AI. 405-412 - Qianru Lyu, Wenli Chen, Kok Hui John Gerard Heng:
From Screens to Peers: Using Deep Learning Models for Visual Attention Shifts Analysis in Technology-Enhanced Classrooms. 413-421 - Fatma Betül Güres, Tanya Nazaretsky, Bahar Radmehr, Martina A. Rau, Tanja Käser:
How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning. 422-429 - Gerben van der Hoek, Johan Jeuring, Rogier Bos:
Combining Model Tracing and Constraint-Based Modeling for Multistep Strategy Diagnoses. 430-436 - Kiyoshige Garcés, Gloria Milena Fernández Nieto, Mladen Rakovic, Xinyu Li, Tongguang Li, Linxuan Zhao, Dragan Gasevic, Junyu Xuan, Hua Zuo:
Transfer Reinforcement Learning for Self-Regulated Learning Support: An Evaluation Using Successor Representations. 437-445 - Kai Löser:
Reading and Writing at a Distance - Integrating Corpus and AI Literacy in the Classroom. 446-452 - Olga Viberg, Jacqueline Wong, Yael Feldman-Maggor, Nora Dunder, Carrie Demmans Epp:
Chatting with Code: Exploring LLMs as Learning Partners in Programming Education. 453-461 - Jaroslaw A. Chudziak, Adam Kostka:
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education. 462-469 - Ethel P. Beluzzi, Bruna O. Cassetari, Renan L. A. Vital, Tyagi M. Lima, Marcela N. Pianucci, Mario A. P. Santos, Mariana G. Mello:
Designing LLM-Based Study Guides and Personalized Feedback in Brazilian Higher Education: A Skill-Focused Approach to Learning and Assessment Perceptions. 470-477
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