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ORCID26th AIED 2025: Palermo, Italy - Part V
- 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 V. Lecture Notes in Computer Science 15881, Springer 2025, ISBN 978-3-031-98461-7
Short Papers
- Mohamed Elhayany, Christoph Meinel:
When GPT-4 Goes to Class: Benchmarking MOOCs and Enhancing Course Design with AI. 3-10 - Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam:
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos. 11-18 - Yushuang Liu, Ido Davidesco, Bruce M. McLaren, J. Elizabeth Richey, Xiaorui Xue, Leah Teffera, Hayden Stec, Hyosun Lee, Jiayi Zhang, Suyi Liu, Elana Zion-Golumbic:
Utilizing Log-Based and Neurophysiological Measures to Understand Engagement and Learning with Intelligent Tutoring Systems. 19-26 - Shengxin Hong, Chang Cai, Sixuan Du, Haiyue Feng, Siyuan Liu, Xiuyi Fan:
"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays. 27-35 - Yongli Mou, Fatemeh Fathi, Ben Thillen, Stefan Decker:
WILLM: A System for Academic Writing Improvement Based on Large Language Models. 36-43 - Xiaoshan Huang, Haolun Wu, Xue (Steve) Liu, Susanne P. Lajoie:
What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System. 44-52 - Adetunji Adeniran, Manal Alhathli:
Beyond Code: Leveraging ChatGPT to Enhance (Not Replace) Traditional Programming Education. 53-59 - Jade Maï Cock, Valentine Delevaux, Ido Roll, Richard Lee Davis, Tanja Käser:
One Code to Predict Them All: Universal Encoding for Inquiry Modeling. 60-67 - Adrienn Toth, Neele Roch, Noé Zufferey, Verena Zimmermann:
"I Would Share It, But..." Exploring Ways to Optimize the Privacy-Personalization Trade-Off in Intelligent Tutoring Systems. 68-76 - Valeria Cesaroni, Eleonora Pasqua, Piercosma Bisconti, Martina Galletti:
A Participatory Strategy for AI Ethics in Education and Rehabilitation Grounded in the Capability Approach. 77-84 - Alina Guha, Shamya Karumbaiah, Cynthia Baeza, Mariana Castro, Kiyo White, Diego Roman:
Teacher Perceptions on AI Support for Bi/multilingual Learners: Superpowers and Constraints. 85-91 - Karan Taneja, Anjali Singh, Ashok K. Goel:
Towards a Multimodal Document-Grounded Conversational AI System for Education. 92-99 - Camila Hidalgo, Noha Lea Halim:
Generative AI in K-12 Education Policy: A Preliminary Global Review. 100-107 - Thilo I. Dieing, Lea Cohausz:
Where's the F***ing Filter? A Survey on Handling Problematic and Sensitive Questions in Open Educational Chatbots. 108-115 - Chang Cai, Jamie Andrew Duell, Daisy Minghui Chen, Weng Kin Ho, Bernett Teck Kwong Lee, Fang Li, Siyuan Liu, Olivia Ng, Vidya Sudarshan, Shang-Ming Zhou, Gaoxia Zhu, Xiuyi Fan:
Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development. 116-123 - Mitra Purandare, Tobias Rothlin, Frieder Loch, Johannes Huwer, Lars-Jochen Thoms:
SMARE - Structure Matching and Recognition Engine for Hand-Drawn Chemical Formulas. 124-132 - Ivan Orozco Vasquez, Romina Mahinpei, Noureddine Elouazizi, Cristina Conati:
An Emergent Bottom-Up Categorization of Students' LLMs Usage in an Undergraduate Research Course. 133-139 - Tengju Li, Cunling Bian, Kaiquan Chen, Weigang Lu:
Large Language Models for Zero-Shot Exercise Recommendation in Adaptive Learning. 140-147 - Lingxi Jin, Baicheng Lin, Mengze Hong, Hyo-Jeong So, Kun Zhang:
Learning by Teaching: Enhancing Music Learning Through LLM-Based Teachable Agents. 148-155 - David M. Otten, Pantelis M. Papadopoulos, Maryam Amir Haeri, Maaike D. Endedijk:
Searching for Transactivity in a Collaborative Chat: Analysis of Novelty and Reference with GenAI. 156-163 - Tami Seifert, Taly Tzamir-Levi:
Risk or Promise: Educators' Perspectives on Student Use of ChatGPT. 164-170 - Si Chen, Reid Metoyer, Khiem Le, Adam Acunin, Izzy Molnar, Alex Ambrose, James Lang, Nitesh V. Chawla, Ronald A. Metoyer:
Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors. 171-178 - Snigdha Agarwal, Vinay P. Namboodiri, C. V. Jawahar:
LipMOOC: A Modular Synthetic MOOC for Lipreading. 179-186 - Mohammadreza Molavi, MohammadReza Tavakoli, Mohammad Moein, Abdolali Faraji, Gábor Kismihók:
LLM-Driven Personalized Answer Generation and Evaluation. 187-194 - Pablo Arnau-González, Yuyan Wu, Sergi Solera-Monforte, David Arnau, Miguel Arevalillo-Herráez:
Predicting User Actions in Algebra Intelligent Tutoring Systems with Markov Models. 195-202 - Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
Many-Shot Regurgitation Prompting. 203-211 - Chidimma Opara:
Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis. 212-219 - Danielle R. Thomas, Conrad Borchers, Shambhavi Bhushan, Sanjit Kakarla, Alex Houk, Ralph Abboud, Shivang Gupta, Erin Gatz, Kenneth R. Koedinger:
Improving Open-Response Assessment with LearnLM. 220-227 - Matthew Perez, Berk Coker, Kemal Berk Kocabagli, Jessica Vitale, Alyssa Van Camp:
Multimodal Classroom Diarization with GPT Re-scoring: Teacher or Student? 228-235 - Boxuan Ma, Liyuan Guo, Tianyuan Yang, Jihong Ding:
How Generative AI Impact Student Emotion and Engagement in Programming Tasks? 236-243 - Conrad Borchers, Cindy Peng, Qianru Lyu, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study. 244-251 - Sungjin Nam:
Ordinal Classification for Transformer-Based Automated Essay Scoring Models. 252-259 - Guher Gorgun, Minghao Cai, Carrie Demmans Epp:
Modeling Intrinsic Load: Can Item Difficulty Be a Reasonable Proxy? 260-267 - Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field M. Watts, Ehsan Latif, Ninghao Liu, Lei Liu, Xiaoming Zhai:
Artificial Intelligence Bias on English Language Learners in Automatic Scoring. 268-275 - Jordan Barria-Pineda, Deniz Sonmez Unal, Kamil Akhuseyinoglu, Peter Brusilovsky, Erin Walker:
Using Self-regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming. 276-284 - Zhaohui Li, Feiwen Xiao, Jiaju Lin, Xiaohan Zou, Qingxiao Zheng, Jinjun Xiong:
StoryLab: Empowering Personalized Learning for Children Through Teacher-Guided Multimodal Story Generation. 285-292 - Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran:
How Do Learners Read the Content in a Multi-source Reading-to-Write Task? - A Multimodal Study. 293-300 - Andrew M. Olney, Sidney K. D'Mello, Natalie K. Person, Whitney L. Cade, Patrick Hays, Claire W. Dempsey, Blair Lehman, Betsy Williams, Art Graesser:
Efficacy of a Computer Tutor that Models Expert Human Tutors. 301-308 - S. Thomas Christie, Anna N. Rafferty, Zack Lee, Ella Cutler, Yu Tian, Husni Almoubayyed:
An Agentic Framework for Real-Time Pedagogical Plot Generation. 309-316 - Rick Dijkstra, Max Hinne, Eliane Segers, Josh Ring, Inge Molenaar:
Predicting Self-regulated Learning Support Needs During Learning. 317-324 - Cameron Marano, Megan Wiedbusch, Annamarie Brosnihan, Matthew Moreno, Milla Sherman, Maral Karimi, Tara Delgado, Roger Azevedo:
Examining the Influence of Students' Personality on Self-regulatory Behaviors and Learning Outcomes During Complex Learning with MetaTutor. 325-331 - Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska, Jaroslaw A. Chudziak:
Leveraging a Multi-agent LLM-Based System to Educate Teachers in Hate Incidents Management. 332-339 - Atsushi Shimada:
Leveraging Lecture and Student Knowledge for Improved AI Chatbot Responses in Education. 340-347 - Tsubasa Minematsu, Atsushi Shimada:
Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge. 348-355 - Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steven Ritter, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch:
Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data. 356-363 - Abdelghafour Aboukacem, Loubna Mekouar, El Houcine Bergou, Youssef Iraqi, Ismail Berrada:
On the Fairness of Ensemble Learning Methods in Student Dropout Prediction. 364-371 - Venkata Nagaraju Buddarapu, Collin Lynch:
Embedding Conversational Safety in AI for Education. 372-379 - Sonia Proust-Androwkha, Valéry Psyché, Revekka Kyriakoglou, Anis Boubaker, Sébastien Lallé, Lamprini Chartofylaka, Guilherme Medeiros Machado, Nour El Mawas:
Beyond Programming Assistance Towards the Integration of Generative AI into Computer Science Education: A Scoping Review. 380-389 - Daniela Inclezan, Luis Pradanos:
Where Is the Environment in AI Ethics? Integrating Ecoliteracy Into AI Literacy. 390-397 - Xiner Liu, Zhanlan Wei, Ryan S. Baker, Shari J. Metcalf, Jiayi Zhang, Amanda Barany, Stefan Slater, Luke Swanson, David J. Gagnon:
Integrating Large Language Models and Machine Learning to Detect Struggle in Educational Games. 398-405 - Vitor Rolim, Cleon Xavier, Luiz Rodrigues, Newarney Torrezão da Costa, Rafael Dueire Lins, Dragan Gasevic, Rafael Ferreira Mello:
The Impact of Oversampling Techniques on the Detection of Cognitive Presence. 406-413 - Yongan Yu, Alexandre Krantz, Nikki G. Lobczowski:
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning Through Large Language Models. 414-422 - Sein Minn, Roger Nkambou:
Enhanced Interpretable Knowledge Tracing for Students' Performance Prediction with Human-understandable Feature Space. 423-430 - Seiyon M. Lee, Hongming Li, Shan Zhang, Zirui Zhong, Ji-Eun Lee, Anthony F. Botelho:
So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making. 431-438 - Eman Ganaiem, Tanja Käser, Ido Roll:
Towards A Student-Facing Dashboard to Support Learning of Inquiry Competencies in Interactive Simulations. 439-445 - Erfan Mirhaji, Nikhil Krishnaswamy, Jill Zarestky, Lisa Mason, Sarath Sreedharan, Nathaniel Blanchard:
HuTCH: Human Teachable Concept Highlighter for Post-hoc Visual Explanations. 446-453 - Artur Cavalcante de Jesus, Leonardo Marques, Diego Carvalho do Nascimento, Bruno Almeida Pimentel:
Understanding Public School Enrollment Trends in the Northeast of Brazil: Unraveling Features Through AI Related to the Learning Process for Low-Income Students. 454-461 - Yuyan Wu, Miguel Arevalillo-Herráez, David Arnau:
A Study of the Influence of the Attention Mechanism on Knowledge Tracing. 462-469 - Takahiro Saito, Hung Tuan Nguyen, Kanako Komiya, Tsunenori Ishioka, Masaki Nakagawa:
Similarity-Based Scoring Model for Handwritten Answers in Japanese Workbooks. 470-477 - Yun He, Elaine Chen, Richard Fletcher:
Exploring Generative AI in Learning: Neurodivergent and Disabled Students' Voices in Higher Education. 478-485
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