{"id":700,"date":"2025-05-05T06:53:00","date_gmt":"2025-05-05T06:53:00","guid":{"rendered":"https:\/\/aied2025.itd.cnr.it\/?page_id=700"},"modified":"2025-07-02T09:21:56","modified_gmt":"2025-07-02T09:21:56","slug":"late-breaking-results","status":"publish","type":"page","link":"https:\/\/aied2025.itd.cnr.it\/index.php\/program\/accepted-papers\/late-breaking-results\/","title":{"rendered":"Late Breaking Results"},"content":{"rendered":"\n

Late Breaking Results<\/strong> \u2013 Accepted Papers<\/strong><\/h2>\n\n\n\n

The AEID\u20192025 Late Breaking Results will take place on 23 July, in parallel with welcome reception.<\/p>\n\n\n\n

Authors<\/th>Title<\/th><\/tr><\/thead>
Candace Walkington and Robert DiBiano<\/td>Using ControlNets with Generative AI Models to Create Illustrative Diagrams for Mathematics Word Problems<\/td><\/tr>
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile and Michele Scalera<\/td>A RAG-Enhanced AI Feedback for UML Education<\/td><\/tr>
Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong and Keisuke Fujii<\/td>A Zero-Shot LLM Framework for Automated Assignment Grading in Introductory Higher Education Courses<\/td><\/tr>
Chaewon Kim, Fengfeng Ke, Alex Barrett and Nuodi Zhang<\/td>From Code to Insight: How LLMs Help and Hinder Qualitative Research<\/td><\/tr>
Luke Korthals, Hannes Rosenbusch, Raoul P P P Grasman and Ingmar Visser<\/td>AI Grading and Feedback – Insights from a Programming Course<\/td><\/tr>
Mahir Akgun and Sacip Toker<\/td>Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention<\/td><\/tr>
Allison Poh, Yuqian Shi, Francisco Enrique Vicente Castro and Ivon Arroyo<\/td>Enhancing Teacher Support in Learning Technologies: A Human-Centered Approach with WearableLearning<\/td><\/tr>
Xiaoshan Huang, Jie Gao and Haolun Wu<\/td>SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning<\/td><\/tr>
Nghia Duong-Trung, Xia Wang, Rahul Rajkumar Bhoyar, Angelin Mary Jose, Silke Elisabeth Wrede, Lars van Rijn, Theresa Panse, Claudia De Witt and Niels Pinkwart<\/td>TPRS: AI-Assisted Research Topic Refinement for Distance Learners<\/td><\/tr>
Gongqi Lin and Lnyie Lee<\/td>FAIR-EVAL: A Hybrid Decision-Making Framework for Fair and Adaptive Project Evaluation in Education<\/td><\/tr>
Jinglei Yu and Yu Lu<\/td>Facilitating Teacher Coaching: Generating Insightful Comments on Classroom Instruction through Multi-Agent Reflection<\/td><\/tr>
Md Biplob Hosen, Lujie Chen, Sancharee Hom Chowdhury, Erin Bosarge, Na Gong, Woei Hung, Becky Tomaso and Shenghua Zha<\/td>Modeling Socially Constructed Knowledge using Multimodal Machine Learning: A Case Study in K-12 AI Literacy Education Classroom<\/td><\/tr>
Jing Zhang, Yazhe Niu, Xueyan Li, Peiyan Zhou and Di Sun<\/td>beSEL: A Human-Aligned LLM Teaching Assistant for Enhancing Social-Emotional Learning<\/td><\/tr>
Yoshihiro Kato<\/td>Automated Essay Scoring using Logical Structure Graph Information<\/td><\/tr>
Rolf Feichtenbeiner, Lorenz Matthias Reichert and Susan Beudt<\/td>Leveraging AI for persons with disabilities: Investigating their needs and gaps in AI-supported assistance<\/td><\/tr>
Mingyu Feng, Natalie Brezack, Chunwei Huang, Megan Schneider, Ivon Arroyo, Beverly Woolf and Danielle Allessio<\/td>AI-Powered Math Learning: Evaluating the Impact of a Personalized Tutoring Platform that Respond to Affect<\/td><\/tr>
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu and Noboru Matsuda<\/td>Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students\u2019 (Mis)Understanding Is Hinted<\/td><\/tr>
Junlei Du, Qinhua Zheng and Shuang Li<\/td>Leveraging Large Reasoning Models for Test Equating Without Anchor Items: A Simulation Study with O1 and DeepSeek-R1<\/td><\/tr>
Eyl\u00fcl Ip\u00e7i, Tanya Nazaretsky and Tanja K\u00e4ser<\/td>Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation<\/td><\/tr>
Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying Jui Tseng, John Stamper and Ken Koedinger<\/td>Exploring How LLMs Empower K-12 Teachers in Culturally Relevant Pedagogy<\/td><\/tr>
Ziwei Wang, Irena Koprinska, Maria Mart\u00ednez-Ballesteros, Alicia Troncoso and Bryn Jeffries<\/td>Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses<\/td><\/tr>
Soujatya Sarkar, Manikandan Ravikiran and Rohit Saluja<\/td>ScoreCLIQ: A Dynamic LLM-Based Framework for Item Difficulty Estimation<\/td><\/tr>
Jacob Levine, Matthew West and Mariana Silva<\/td>A two-stage LLM pipeline for validated question generation and grading<\/td><\/tr>
Changsoo Jung, Sheikh Mannan, Jack Fitzgerald and Nathaniel Blanchard<\/td>Computer Vision for Objects used in Group Work: Challenges and Opportunities<\/td><\/tr>
Andy Smith, Natalie Brezack, Wynnie Chan, Abby S. Lavine, Bradford Mott, Cathy Ringstaff, Mingyu Feng and James Lester<\/td>From Sketch to Understanding: Exploring LLM-Based Assessment of Student-Drawn Science Models<\/td><\/tr>
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<\/td>Riding on The Back of A Whale: A Hackathon Framework for Introducing High School Students to Large Language Models<\/td><\/tr>
Chantal Tremblay, Bruno Poellhuber, Anne-Marie S\u00e9n\u00e9cal and Normand Roy<\/td>Design and Validation Process of the Metric Properties of a Questionnaire Measuring AI Literacy Among Uni-versity Students: Preliminary Results<\/td><\/tr>
Kira Rohwer and Sabine Seufert<\/td>ChatGPT\u2019s Impact on Students\u2019 Performance in Solving Tasks Requiring Critical Thinking<\/td><\/tr>
Songhee Han, Chaewon Kim and Hunhui Na<\/td>Intent-Based vs. LLM-Based Chatbots in MOOCs: Do Diverse Students Experience Them Differently?<\/td><\/tr>
Mohamed Saban, Luis P. Prieto and Yannis Dimitriadis<\/td>A GenAI-enhanced Platform for Personalized Doctoral Progress and Well-being Support through Single-case Analytics<\/td><\/tr>
Shutong Wu, Hecong Wang and Zhen Bai<\/td>AGen: A Structured Framework for Personalized Analogy Generation with LLMs<\/td><\/tr>
Siddharth Siddharth, Brainerd Prince, Amol Harsh and Shreyas Ramachandran<\/td>`The World of AI’: A Novel Approach to AI Literacy for First-year Engineering Students<\/td><\/tr>
Liang Zhang, Xiaoming Zhai, Jionghao Lin, Jennifer Kleiman, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, Xiangen Hu and Arthur C. Graesser<\/td>Exploring Communicative Strategies for Collaborative LLM Agents in Mathematical Problem Solving<\/td><\/tr>
Shan Zhang, Hongming Li, Seiyon Lee, Noah L. Schroeder and Anthony F. Botelho<\/td>VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry<\/td><\/tr>
Somphop Sukjaitham, Garvin Brod and Jasmin Breitwieser<\/td>Exploring the Feasibility of Personalized AI Feedback to Improve Children\u2019s Planning Skills<\/td><\/tr>
Jacek Sta\u0144do, \u017bywilla Fechner, Anita D\u0105browicz-Tla\u0142ka, Katarzyna Kujawska and Magdalena Musielak<\/td>Exploring AI Chatbots for Learning Mathematics: Students’ Perspectives on Accuracy and Educational Value<\/td><\/tr>
Emmmanuel G. Blanchard, Jean-Christophe Callahan, Idir Akretche, Naif Asswiel, Lucas Schmitt, Amine Kessemtini and Imran S. A. Khan<\/td>Making Generative AI Hallucinations Useful by Reassessing the Troublemaker Agent Strategy<\/td><\/tr>
Anna Korchak, Mik Fanguy, Kseniia Adamovich, Han Zhang, Mattew Baldwin and Jamie Costley<\/td>Enhancing Collaborative Academic Writing with Generative Artificial Intelligence: Use and Effects<\/td><\/tr>
Shotaro Naganuma, Tsubasa Minematsu, Sachika Shibukawa, Aikana Ohno and Yukinori Wakihama<\/td>Exploring Students\u2019 Generative AI Usage Patterns and Knowledge Creation in Collaborative Problem Solving<\/td><\/tr>
Hai Li, Wanli Xing, Wanda Zhu, Chenglu Li, Bailing Lyu, Zifeng Liu and Neil Heffernan<\/td>Leveraging Multi-Modality and Collaborative Filtering for Supporting Automatic Scoring in Mathematics Education<\/td><\/tr>
Beate Grawemeyer and Manolis Mavrikis<\/td>Developing Artificial Intelligence Explanations for Technology Enhanced Learning with and for Special Educational Needs Children and Teachers<\/td><\/tr>
Zhongtian Sun, Jingyun Wang, Ahmed Alamri and Alexandra Cristea<\/td>SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback<\/td><\/tr>
Shrey Chandola, Manikandan Ravikiran and Rohit Saluja<\/td>How far are we from automatic grading of handwritten cloze form questions?<\/td><\/tr>
Seyedahmad Rahimi, Deniz Ercan, Ran Gao, Salah Esmaeiligoujar, Maryam Babaee, Hongming Li, Shan Zhang, Seiyon Lee, Avery Closser and Anthony Botelho<\/td>ProductiveMath: A Generative-AI-Powered App to Support Productive Failure Teaching<\/td><\/tr>
Jingyang Peng, Wenyuan Shen, Jiarui Rao and Jionghao Lin<\/td>Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework<\/td><\/tr>
Ziwei Wang, Bryn Jeffries and Irena Koprinska<\/td>Mining Student Activity Sequences in a Large-scale Online Programming Course<\/td><\/tr>
Tadachika Ozono, Yuna Kaneko and Masato Kikuchi<\/td>Assessing Lecture Difficulty and Unexpected Events Using Subtle Facial Cues<\/td><\/tr>
Maria Marina<\/td>Beyond Detection: Rethinking Education in the Age of AI-writing<\/td><\/tr>
H\u00e9ctor Florido Fontanet and Davinia Hernandez-Leo<\/td>Help-Seeking in Problem-Solving: Comparing Generative AI, Peers, and Teacher<\/td><\/tr>
Shuang Li, Jingxi Chen, Jingqi Sun, Jing Li and Xinpei Yu<\/td>How Teacher-Provided Need Support Affects Learning Performance in Human-Computer Collaborative Teaching Environments<\/td><\/tr>
Okan Bulut, Joyce Xinle Liu and Humeyra Demir<\/td>Deep Reinforcement Learning for Engagement-Aware Question Selection in Adaptive Assessment Systems<\/td><\/tr>
Christine Marquis, Bruno Poellhuber and Normand Roy<\/td>Knowledge, uses and perceptions of ChatGPT in higher education<\/td><\/tr>
Marina Buzzi, Barbara Leporini, Angelica Lo Duca, Veronica Punzo and Daniela Rotelli<\/td>Inclusive Data Literacy: UDL and AI-Assisted Data Storytelling for BVI Students<\/td><\/tr>
Naoki Shindo and Masaki Uto<\/td>Virtual Simulated Patients for Medical Interviews Using Large Language Models with a Self-Refinement Mechanism to Suppress Excessive Responses<\/td><\/tr>
Alex Goslen, Claire Aguiar, Jessica Vandenberg, Veronica Catet\u00e9, Wookhee Min and Bradford Mott<\/td>Playful Pathways to AI Literacy: Designing NLP Activities for Middle School AI Education<\/td><\/tr>
Yo Ehara<\/td>Generating Diverse Difficulty Examples in Embedding Vector Spaces via Inverse Embedding<\/td><\/tr>
Mehrnoush Mohammadibolbanabad, Kamal Berahmand, Shazia Sadiq and Hassan Khosravi<\/td>Knowledge Tracing with A Temporal Hypergraph Memory Network<\/td><\/tr>
Tahereh Firoozi, Lia Daniels, Vijay Daniels and Mark Gierl<\/td>An Augmented Intelligence System for Automated Quality Control and Feedback Generation of Multiple Choice Test Items<\/td><\/tr>
Bahar Radmehr, Ekaterina Shved, Fatma Bet\u00fcl G\u00fcre\u015f, Adish Singla and Tanja K\u00e4ser<\/td>ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs<\/td><\/tr>
Su Mu, Xiaoran Chen, Xueni Liu, Yuyin Zhang, Yingbin Zhang and Xiaoyong Hu<\/td>Effects of Human and Automated Feedback on Preservice Teachers\u2019 Nonverbal Teaching Skills During Microteaching<\/td><\/tr>
Derek Armfield, Eason Chen, Asilbek Omonkulov, Xinyi Tang, Jionghao Lin, Erik Thiessen and Kenneth Koedinger<\/td>Avalon: A Human-in-the-Loop LLM Grading System with Instructor Calibration and Student Self-Assessment<\/td><\/tr>
Mingyu Feng, Linlin Li, Chunwei Huang, Natalie Brezack and Kim Luttgen<\/td>Empowering Teachers with Technology: A National Study on a Formative Assessment Platform<\/td><\/tr>
Manikandan Ravikiran, Tarun Sharma, Arnav Bhavsar and Rohit Saluja<\/td>CASSA: Context-Aware Self-Attention with Global Context Suppression and Relevance Modulation for MCQ Difficulty Estimation<\/td><\/tr>
Ehsan Latif and Xiaoming Zhai<\/td>Privacy-Preserved Automated Scoring using Federated Learning for Educational Research<\/td><\/tr>
Videep Venkatesha, Mariah Bradford and Nathaniel Blanchard<\/td>Towards a robust automated system of detecting collaborative problem solving markers in a small group collaborative setting<\/td><\/tr>
Eason Chen, Chenyu Lin, Yu-Kai Huang, Xinyi Tang, Aprille Xi, Jionghao Lin and Kenneth Koedinger<\/td>VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback<\/td><\/tr>
Mateus Monteiro Santos, Aristoteles Barros, Luiz Rodrigues, Diego Dermeval, Ig Ibert, Seiji Isotani and Valmir Macario<\/td>“Small Device, Big Decision:” Comparing Lightweight LLMs’ Computational Performance and Output Quality for AIED Unplugged<\/td><\/tr>
Mingyu Feng, Linlin Li, Chunwei Huang, Natalie Brezack and Hee Jin Bang<\/td>Personalized Math Learning for Young Learners: Preliminary Findings from a Rigorous Study of a Game-Based Program<\/td><\/tr>
Marius Vogt, Valentina Ferraioli, Victoria Abou Khalil, Lena Hollenstein, Francesco Mondada and Franziska Vogt<\/td>Teachers\u2019 Perspectives on Using and Teaching Artificial Intelligence in Early Primary Education<\/td><\/tr>
Ana Clara N\u00f3bile, Ignacio Viscardi, Pablo Cancela, Germ\u00e1n Capdehourat, Luis Chiruzzo and Santiago G\u00f3ngora<\/td>Automatic Assessment of Spoken English for Uruguayan Spanish L1 Young Learners<\/td><\/tr>
Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma and Xiaoming Zhai<\/td>Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment<\/td><\/tr>
Luca Marconi and Federico Cabitza<\/td>Tutor or Mentor. A Comparative Usability Study of AI Roles in Higher Education<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

All accepted posters must follow the guidelines below to ensure consistency and quality during the conference.<\/p>\n\n\n\n

Poster Format<\/strong><\/h4>\n\n\n\n