| 2025 | Deep Reinforcement Learning for Engagement-Aware Question Selection in Adaptive Assessment Systems. | Okan Bulut, Joyce Xinle Liu, Hmeyra Demir |
| 2025 | Embedding Conversational Safety in AI for Education. | Venkata Nagaraju Buddarapu, Collin Lynch |
| 2025 | Job Interview Training with RAG-LLM: An Experimental Study with the Furhat Robot. | Ilona Buchem, Robin Bedemann, Felix Gers |
| 2025 | Balancing Emotional and Motivational Self-Regulatory Processes During Complex Learning with Intelligent Tutoring Systems. | Annamarie Brosnihan, Megan Wiedbusch, Cameron Marano, Maral Karimi, Matthew Moreno, Tara Delgado, Oscar Tidwell, Roger Azevedo |
| 2025 | The Impact of Background Speech on Interruption Detection in Collaborative Groups. | Mariah Bradford, Nikhil Krishnaswamy, Nathaniel Blanchard |
| 2025 | Co-creation Through Collaboration-of-Experts (CoE): A Multi-agent Approach to Creative Risk-Taking and Equity. | Ailiya Borjigin, Zhiqi Shen |
| 2025 | Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study. | Conrad Borchers, Tianze Shou |
| 2025 | Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study. | Conrad Borchers, Cindy Peng, Qianru Lyu, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven |
| 2025 | Involving Parents in Tutoring Systems to Increase Content Confidence: A Design Probe Study. | Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven |
| 2025 | Intelligent Support for Practice Goal Setting to Enhance Learning. | Conrad Borchers, Kenneth R. Koedinger, Vincent Aleven |
| 2025 | Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring. | Conrad Borchers, Alex Houk, Vincent Aleven, Kenneth R. Koedinger |
| 2025 | Fostering Interactive Engagement in Active Video Watching via Adaptive Comment Recommendations. | Ehsan Bojnordi, Antonija Mitrovic, Matthias Galster, Sanna Malinen, Jay Holland |
| 2025 | Making Generative AI Hallucinations Useful by Reassessing the Troublemaker Agent Strategy. | Emmanuel G. Blanchard, Jean-Christophe Callahan, Idir Akretche, Naif Asswiel, Lucas Schmitt, Amine Kessemtini, Imran S. A. Khan |
| 2025 | Towards Real-Time Automated Self-regulated Learning Detection in Essays. | Inti Bistolfi, Susanne de Mooij, Joep van der Graaf, Inge Molenaar |
| 2025 | Can Open Source LLMs Generate Math Questions at Graduate Level Courses? An Empirical Study of Linear Algebra Course. | Alka Bhushan, Nirav Bhatt, Anik Bhowmick, Patrick Vincent Ndowo, Sukanya Tukaram Naik, Ramadhan Mwinyi Pembe, Adhil Ahmed P. M. Shums |
| 2025 | Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students. | Indronil Bhattacharjee, Christabel Wayllace |
| 2025 | Second Workshop on the Automatic Evaluation of Learning and Assessment Content. | Luca Benedetto, Diana Galvn-Sosa, George Dueas, Shiva Taslimipoor, Gabrielle Gaudeau, Andrew Caines, Anastassia Loukina, Torsten Zesch |
| 2025 | Designing LLM-Based Study Guides and Personalized Feedback in Brazilian Higher Education: A Skill-Focused Approach to Learning and Assessment Perceptions. | Ethel P. Beluzzi, Bruna O. Cassetari, Renan L. A. Vital, Tyagi M. Lima, Marcela N. Pianucci, Mario A. P. Santos, Mariana G. Mello |
| 2025 | Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data. | Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steven Ritter, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch |
| 2025 | Fair4AIED 2025: First International Workshop on Fairness in Algorithmic Decision-Making for Education. | Clara Belitz, Nigel Bosch, Lan Jiang, Ioana Jivet, Badmavasan Kirouchenassamy, Haejin Lee, Barbara Leporini, Francesca Maridina Malloci, Mirko Marras, Daniela Rotelli, Frank Stinar |
| 2025 | Fair for Whom? Investigating School Identity, Algorithmic Fairness, and Educational Technologies. | Clara Belitz |
| 2025 | Evaluating Large Language Model Quality in Resource-Constrained Environments: An Educational Stakeholders' Survey on Accuracy, Completeness, and Readability in Brazil. | Aristoteles Barros, Mateus Monteiro, Luiz A. L. Rodrigues, Diego Dermeval, Seiji Isotani, Ig Ibert Bittencourt |
| 2025 | Large Language Models Generating Feedback for Students of Introductory Programming Courses. | Juliana Barros, Laura Oliveira Moraes, Fernanda D. V. R. Oliveira, Carla A. D. M. Delgado |
| 2025 | Using Self-regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming. | Jordan Barria-Pineda, Deniz Sonmez Unal, Kamil Akhuseyinoglu, Peter Brusilovsky, Erin Walker |
| 2025 | Enhancing Knowledge Tracing with Large Language Models (LLMs). | Duaa Baig, Diana Nurbakova, Sylvie Calabretto, Baba Mbaye |