Late Breaking Results – Best Papers Nominees
The AEID’2025 Late Breaking Results will take place on 23 July, in parallel with welcome reception.
We are pleased to present the list of this year’s LBR (Late Breaking Results) nominees for the best poster awards. After a rigorous review process, we have selected 17 papers based on their exceptional quality and innovative contributions to the field of AI in Education. This year, we received an unprecedented number of submissions, and the selected papers represent the top tier of this competitive pool. We invite each AIED participant to vote for their favorite posters during the conference (a QR code will be provided in the welcome reception at 23rd July). Your votes will help us recognize and celebrate the outstanding work of your peers.
Thank you for your participation!
| PaperID | Authors | Title |
|---|---|---|
| 0336 | Mahir Akgun and Sacip Toker | Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention |
| 0656 | Allison Poh, Yuqian Shi, Francisco Enrique Vicente Castro and Ivon Arroyo | Enhancing Teacher Support in Learning Technologies: A Human-Centered Approach with AnnonymousTech |
| 1382 | Jing Zhang, Yazhe Niu, Xueyan Li, Peiyan Zhou and Di Sun | beSEL: A Human-Aligned LLM Teaching Assistant for Enhancing Social-Emotional Learning |
| 1550 | Rolf Feichtenbeiner, Lorenz Matthias Reichert and Susan Beudt | Leveraging AI for persons with disabilities: Investigating their needs and gaps in AI-supported assistance |
| 1568 | Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu and Noboru Matsuda | Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted |
| 2234 | Junlei Du, Qinhua Zheng and Shuang Li | Leveraging Large Reasoning Models for Test Equating Without Anchor Items: A Simulation Study with O1 and DeepSeek-R1 |
| 3304 | Andy Smith, Natalie Brezack, Wynnie Chan, Abby S. Lavine, Bradford Mott, Cathy Ringstaff, Mingyu Feng and James Lester | From Sketch to Understanding: Exploring LLM-Based Assessment of Student-Drawn Science Models |
| 3356 | Duc Nguyen, Dong Le, Long Nguyen, Quyen Vu, Tran Le, Dung Nguyen, Nga Huynh, Huong Nguyen, Phat Tran, Dang Le, Sang Truong, Sanmi Koyejo, Cuong Le and Tho Quan | Riding on The Back of A Whale: A Hackathon Framework for Introducing High School Students to Large Language Models |
| 3493 | Shutong Wu, Hecong Wang and Zhen Bai | AGen: A Structured Framework for Personalized Analogy Generation with LLMs |
| 3737 | Somphop Sukjaitham, Garvin Brod and Jasmin Breitwieser | Exploring the Feasibility of Personalized AI Feedback to Improve Children’s Planning Skills |
| 4957 | Zhongtian Sun, Jingyun Wang, Ahmed Alamri and Alexandra Cristea | SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback |
| 5143 | Seyedahmad Rahimi, Deniz Ercan, Ran Gao, Salah Esmaeiligoujar, Maryam Babaee, Hongming Li, Shan Zhang, Seiyon Lee, Avery Closser and Anthony Botelho | ProductiveMath: A Generative-AI-Powered App to Support Productive Failure Teaching |
| 6188 | Héctor Florido Fontanet and Davinia Hernandez-Leo | Help-Seeking in Problem-Solving: Comparing Generative AI, Peers, and Teacher |
| 6450 | Okan Bulut, Joyce Xinle Liu and Humeyra Demir | Deep Reinforcement Learning for Engagement-Aware Question Selection in Adaptive Assessment Systems |
| 8649 | Manikandan Ravikiran, Tarun Sharma, Arnav Bhavsar and Rohit Saluja | CASSA: Context-Aware Self-Attention with Global Context Suppression and Relevance Modulation for MCQ Difficulty Estimation |
| 8990 | Videep Venkatesha, Mariah Bradford and Nathaniel Blanchard | Towards a robust automated system of detecting collaborative problem solving markers in a small group collaborative setting |
| 9910 | Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma and Xiaoming Zhai | Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment |