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ORCID26th AIED 2025: Palermo, Italy - Part IV
- 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 IV. Lecture Notes in Computer Science 15880, Springer 2025, ISBN 978-3-031-98458-7
Full Papers
- Chenyan Zhao, Mariana Silva, Seth Poulsen:
Language Models are Few-Shot Graders. 3-16 - Shatha N. Alkhasawneh, Georgios Lampropoulos, Davinia Hernández-Leo:
Generative AI in Learning Design: A Systematic Review. 17-30 - Wanyong Feng, Peter Tran, Stephen Sireci, Andrew S. Lan:
Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs. 31-45 - Conrad Borchers, Alex Houk, Vincent Aleven, Kenneth R. Koedinger:
Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring. 46-59 - Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman:
Math Education With Large Language Models: Peril or Promise? 60-75 - Sandra Sawaya, Jennifer Jacobs, Robert G. Moulder, Chelsea Chandler, Brent Milne, Tom Fischaber, Sidney K. D'Mello:
Improving Tutor Discourse Practices via AI-Enhanced Coaching: A Piecewise Latent Growth Curve Modeling Approach. 76-89 - Candace A. Walkington, Theodora Beauchamp, Andrew S. Lan, Tiffini Pruitt-Britton:
The Efficiency of Teacher-Driven Context Personalization in Mathematics with Large Language Models. 90-104 - Meenakshi Mittal, Gaurav Tyagi, Azalea Bailey, Gireeja Ranade, Narges Norouzi:
Askademia: A Real-Time AI System for Automatic Responses to Student Questions. 105-118 - Zach Anthis, Manolis Mavrikis:
In Search of Answers: Supporting Educators to Understand AI Through Heuristic Thinking. 119-133 - Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing, Gökhan Gülfidan, Linlin Wu:
Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application. 134-147 - Andrew M. Olney, Whitney L. Cade:
Learning by Correcting AI Errors: Effort is Essential. 148-161 - Valentina Rossi, Teresa Scantamburlo, Alessandra Melonio:
Generative AI for Non-Techies: Empirical Insights into LLMs in Programming Education for Novice Non-STEM Learners. 162-175 - Michael Oliverio, Pier Felice Balestrucci, Luca Anselma, Alessandro Mazzei:
AIML+: Enhancing AIML for the Educational Domain Through Frames and Large Language Models. 176-189 - Momin Naushad Siddiqui, Vryan Feliciano, Roy Pea, Hari Subramonyam:
AI in the Writing Process: How Purposeful AI Support Fosters Student Writing. 190-203 - Edoardo Cipriano, Alessio Ferrato, Carla Limongelli, Daniele Schicchi, Davide Taibi:
Leveraging Large Language Models to Assist Teachers in Code Grading. 204-217 - Martina Vincoli, Niklas Scholz, Tomohiro Nagashima:
Multidimensional Student Agency in Learning with AI: A Conceptual Framework and Design Implications. 218-232 - Angela E. B. Stewart, Jaemarie Solyst, Xinyi Bao, Paras Sharma, Amanda Buddemeyer, Tara Nkrumah, Amy Ogan, Erin Walker:
Who's Got the Power? Data Feminism as a Lens for Designing AIED Engagement Systems. 233-247 - Ying Na, Shihui Feng:
LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding. 248-262 - Boxuan Ma, Sora Fukui, Yuji Ando, Shin'ichi Konomi:
Personalized Language Learning Using Spaced Repetition Scheduling. 263-276 - Paras Sharma, Daniel Fritsch, Yuya Asano, Quentin King-Shepard, Tyree Langley, Tristan Maidment, Diane J. Litman, Timothy Nokes-Malach, Adriana Kovashka, Nikki G. Lobczowski, Erin Walker:
Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot. 277-291 - Steven Coyne, Diana Galván-Sosa, Ryan Spring, Camélia Guerraoui, Michael Zock, Keisuke Sakaguchi, Kentaro Inui:
Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems. 292-306 - Matheus Arataque Uema, Talita De Paula Cypriano De Souza, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani:
Designing for Meaningful Access: Towards a Framework for AI in Education Unplugged. 307-320 - Zhilin Fan, Penghe Chen, Yu Lu:
Why Did the AI Suggest That? Designing an Explainable Educational Counseling System. 321-335 - Jaewook Lee, Jeongah Lee, Wanyong Feng, Andrew Lan:
From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics. 336-349 - Min Zhuang, Shiyan Jiang, Daria Smyslova, Carolyn P. Rosé, Jie Chao:
Epistemic Curiosity in K-12 AI Education: A Trajectory Analysis. 350-363 - Naiming Liu, Shashank Sonkar, Richard G. Baraniuk:
Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns. 364-377 - Chloe Qianhui Zhao, Jie Cao, Eason Chen, Kenneth R. Koedinger, Jionghao Lin:
SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions. 378-392 - Ashish Gurung, Jionghao Lin, Jordan Gutterman, Danielle R. Thomas, Alex Houk, Shivang Gupta, Emma Brunskill, Lee G. Branstetter, Vincent Aleven, Kenneth R. Koedinger:
Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes. 393-407 - Zhiwei Yang, Jiahua Yang, Longtao Wang, Rongxin Huo, Huiru Lin, Yuxuan Zhou, Weiqi Luo:
Local-Global Cascaded Ensemble Learning on Hybrid Experts for Knowledge Concept Tagging. 408-421
Short Papers
- Indronil Bhattacharjee, Christabel Wayllace:
Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students. 425-432 - Alyssa Olthof, Isabella Saccardi, Judith Masthoff:
Decoding Peer Assessment: An Algorithm to Navigate Group Problems Detection. 433-440 - Anisha Gupta, Wookhee Min, Dan Carpenter, Roger Azevedo, James C. Lester:
Improving Student Modeling in Game-Based Learning with Multi-task Learning for Stealth Assessment and Goal Recognition. 441-448 - Paulo Vitor Teodoro, Vinicius Freire:
Artificial Intelligence and Qualitative Reasoning in Science Education: A Systematic Review of Lusophone Literature (2000-2024). 449-456 - Tristan Kneisel, Fabian Vehlken, Thomas Zeume:
Logical Modelling in CS Education: Bridging the Natural Language Gap. 457-463 - Steven Moore, Lydia Eckstein, Christine Kwon, John C. Stamper:
Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality. 464-471 - Shi Ding, Jason Brent Smith, Brian Magerko:
Considering Large Language Model Integration in Expressive Computer Science Learning Environments for Blind and Visually Impaired Learners Through Co-design. 472-480
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