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ORCID26th AIED 2025: Palermo, Italy - Companion II
- Alexandra I. Cristea
, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Palermo, Italy, July 22-26, 2025, Proceedings, Part II. Communications in Computer and Information Science 2591, Springer 2025, ISBN 978-3-031-99263-6
Late Breaking Results
- Candace A. Walkington, Robert DiBiano:
Using ControlNets with Generative AI Models to Create Illustrative Diagrams for Mathematics Word Problems. 3-11 - Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera:
A RAG-Enhanced AI Feedback for UML Education. 12-18 - Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong, Keisuke Fujii:
A Zero-Shot LLM Framework for Automated Assignment Grading in Introductory Higher Education Courses. 19-27 - Chaewon Kim, Fengfeng Ke, Alex Barrett, Nuodi Zhang:
From Code to Insight: How LLMs Help and Hinder Qualitative Research. 28-35 - Luke Korthals, Hannes Rosenbusch, Raoul Grasman, Ingmar Visser:
Grading University Students with LLMs: Performance and Acceptance of a Canvas-Based Automation. 36-43 - Mahir Akgun, Sacip Toker:
Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention. 44-52 - Allison Poh, Yuqian Shi, Francisco Enrique Vicente Castro, Ivon Arroyo:
Enhancing Teacher Support in Learning Technologies: A Human-Centered Approach with WearableLearning. 53-60 - Xiaoshan Huang, Jie Gao, Haolun Wu:
SSRLBot: Designing and Developing a Large Language Model-Based Agent Using Socially Shared Regulated Learning. 61-68 - Nghia Duong-Trung, Xia Wang, Rahul Rajkumar Bhoyar, Angelin Mary Jose, Silke Elisabeth Wrede, Lars van Rijn, Theresa Panse, Claudia de Witt, Niels Pinkwart:
TPRS: AI-Assisted Research Topic Refinement for Distance Learners. 69-76 - Jinglei Yu, Yu Lu:
Facilitating Teacher Coaching: Generating Insightful Comments on Classroom Instruction Through Multi-agent Reflection. 77-84 - Md Biplob Hosen, Lujie Karen Chen, Sancharee Hom Chowdhury, Erin Bosarge, Na Gong, Woei Hung, Becky Tomaso, Shenghua Zha:
Modeling Socially Constructed Knowledge Using Multimodal Machine Learning: A Case Study in K-12 AI Literacy Education Classroom. 85-92 - Jing Zhang, Yazhe Niu, Xueyan Li, Peiyan Zhou, Di Sun:
beSEL: A Human-Aligned LLM Teaching Assistant for Enhancing Social-Emotional Learning. 93-101 - Yoshihiro Kato:
Automated Essay Scoring Using Logical Structure Graph Information. 102-109 - Rolf Feichtenbeiner, Lorenz Reichert, Susan Beudt:
Leveraging AI for Persons with Disabilities: Investigating Their Needs and Gaps in AI-Supported Assistance. 110-117 - Mingyu Feng, Natalie Brezack, Chunwei Huang, Megan Schneider, Ivon Arroyo, Beverly P. Woolf, Danielle Allessio:
AI-Powered Math Learning: Evaluating the Impact of a Personalized Tutoring Platform that Responds to Affect. 118-125 - Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda:
Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding is Hinted. 126-134 - Junlei Du, Qinhua Zheng, Shuang Li:
Leveraging Large Reasoning Models for Test Equating Without Anchor Items: A Simulation Study with O1 and DeepSeek-R1. 135-142 - Eylül Ipçi, Tanya Nazaretsky, Tanja Käser:
Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation. 143-151 - Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Kenneth R. Koedinger:
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. 152-160 - Ziwei Wang, Irena Koprinska, María Martínez-Ballesteros, Alicia Troncoso, Bryn Jeffries:
Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses. 161-168 - Soujatya Sarkar, Manikandan Ravikiran, Rohit Saluja:
ScoreCLIQ: A Dynamic LLM-Based Framework for Item Difficulty Estimation. 169-176 - Jacob Levine, Matt West, Mariana Silva:
LLM Agents for Verifiable Question Generation and Grading. 177-184 - Changsoo Jung, Sheikh Mannan, Jack Fitzgerald, Nathaniel Blanchard:
Computer Vision for Objects Used in Group Work: Challenges and Opportunities. 185-192 - Andy Smith, Natalie Brezack, Wynnie Chan, Abby Lavine, Bradford W. Mott, Cathy Ringstaff, Mingyu Feng, James C. Lester:
From Sketch to Understanding: Exploring LLM-Based Assessment of Student-Drawn Science Models. 193-200 - Duc Nguyen, Dong D. Le, Long Nguyen, Quyen Vu, Tran Le, Dung Nguyen, Nga Huynh, Huong Nguyen, Phat Tran, Dang Le, Sang Truong, Sanmi Koyejo, Cuong Le, Tho Quan:
Riding on the Back of a Whale: A Hackathon Framework for Introducing High School Students to Large Language Models. 201-209 - Chantal Tremblay, Bruno Poellhuber, Anne-Marie Sénécal, Normand Roy:
Design and Validation of the Psychometric Properties of a Questionnaire Measuring AI Literacy Among University Students: Preliminary Results. 210-217 - Kira Rohwer, Sabine Seufert:
ChatGPT's Impact on Students' Performance in Solving Tasks Requiring Critical Thinking. 218-225 - Songhee Han, Chaewon Kim, Hunhui Na:
Intent-Based vs. LLM-Based Chatbots in MOOCs: Do Diverse Students Experience Them Differently? 226-233 - Mohamed Saban, Luis P. Prieto, Yannis A. Dimitriadis:
A GenAI-Enhanced Platform for Personalized Doctoral Progress and Well-Being Support Through Single-Case Analytics. 234-241 - Shutong Wu, Hecong Wang, Zhen Bai:
AGen: Personalized Analogy Generation with Large Language Model. 242-249 - Siddharth Siddharth, Brainerd Prince, Amol Harsh, Shreyas Ramachandran:
'The World of AI': A Novel Approach to AI Literacy for First-Year Engineering Students. 250-257 - Liang Zhang, Xiaoming Zhai, Jionghao Lin, Jennifer Kleiman, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, Xiangen Hu, Arthur C. Graesser:
Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving. 258-265 - Shan Zhang, Hongming Li, Seiyon M. Lee, Noah L. Schroeder, Anthony F. Botelho:
VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry. 266-273 - Somphop Sukjaitham, Garvin Brod, Jasmin Breitwieser:
Exploring the Feasibility of Personalized AI Feedback to Improve Children's Planning Skills. 274-281 - Jacek Stando, Zywilla Fechner, Anita Dabrowicz-Tlalka, Katarzyna Kujawska, Magdalena M. Musielak:
Exploring AI Chatbots for Learning Mathematics: Students' Perspectives on Accuracy and Educational Value. 282-288 - Emmanuel G. Blanchard, Jean-Christophe Callahan, Idir Akretche, Naif Asswiel, Lucas Schmitt, Amine Kessemtini, Imran S. A. Khan:
Making Generative AI Hallucinations Useful by Reassessing the Troublemaker Agent Strategy. 289-296 - Anna Korchak, Mik Fanguy, Kseniia Adamovich, Han Zhang, Mattew Baldwin, Jamie Costley:
Enhancing Collaborative Academic Writing with Generative Artificial Intelligence: Use and Effects. 297-304 - Shotaro Naganuma, Tsubasa Minematsu, Sachika Shibukawa, Aikana Ohno, Yukinori Wakihama:
Exploring Students' Generative AI Usage Patterns and Knowledge Creation in Collaborative Problem Solving. 305-312 - Hai Li, Wanli Xing, Wangda Zhu, Chenglu Li, Bailing Lyu, Zifeng Liu, Neil T. Heffernan:
Leveraging Multi-modality and Collaborative Filtering for Supporting Automatic Scoring in Mathematics Education. 313-320 - Beate Grawemeyer, Manolis Mavrikis:
Developing Artificial Intelligence Explanations for Technology Enhanced Learning with and for Special Educational Needs Children and Teachers. 321-327 - Zhongtian Sun, Jingyun Wang, Ahmed Alamri, Alexandra I. Cristea:
SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback. 328-335 - Shrey Chandola, Manikandan Ravikiran, Rohit Saluja:
How far are we from Automatic Grading of Handwritten Cloze Form Questions? 336-343 - Seyedahmad Rhaimi, Deniz Ercan, Ran Gao, Salah Esmaeiligoujar, Maryam Babaee, Hongming Li, Shan Zhang, Seiyon Lee, Avery Closser, Anthony Botelho:
ProductiveMath: A Generative-AI-Powered App to Support Productive Failure Teaching. 344-351 - Jingyang Peng, Wenyuan Shen, Jiarui Rao, Jionghao Lin:
Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework. 352-358 - Ziwei Wang, Bryn Jeffries, Irena Koprinska:
Mining Student Activity Sequences in a Large-Scale Online Programming Course. 359-365 - Tadachika Ozono, Yuna Kaneko, Masato Kikuchi:
Assessing Lecture Difficulty and Unexpected Events Using Subtle Facial Cues. 366-373
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