EAAI-26: The 16th Symposium on Educational Advances in Artificial Intelligence
Singapore, Singapore Collocated with AAAI-26
January 24-26, 2026
Sponsored by the Association for the Advancement of Artificial Intelligence
EAAI-26
What's New (rev. Dec 17, 2025)
- Program now available! (Dec 17, 2025)
- CFP is available (May 5, 2025)
- Website is up (May 5, 2025)
Important Dates
Submission Dates
- Abstract deadline: August 11, 2025, at 11:59 PM UTC-12 (anywhere on earth)
- Paper deadline: August 18, 2025, at 11:59 PM UTC-12 (anywhere on earth)
- Notification date: November 3, 2025
- Camera-ready deadline: November 13, 2025
- Symposium dates: January 24-26, 2026 (co-located with AAAI-26)
EAAI-26 Program Schedule
Saturday, January 24, 2026
All times are Singapore Time (SGT)
8:30-9:00: Welcome
Narges Norouzi and Lisa Zhang
9:00-10:30: Session 1 - AI for Everyone
Chair: Praveen Guraja
- Educating the Public in Artificial Intelligence: Insights from a Large-Scale Course
Maria Kasinidou; Styliani Kleanthous; Jahna Otterbacher; Evgenia Christoforou - The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All
Zifan Xu; Kristen Procko; Michael Munje; Kristin Patterson; Lea Sabatini; Joydeep Biswas; Peter Stone - Exploring Cross-Cultural Perspectives on AI Education: Insights from Teachers in Nigeria and the USA
Cornelius Adejoro; Oghenemaro Anuyah; Ali Raza; Karla Badillo-Urquiola; Tom Yeh - AI Education Across the Curriculum: Design and Pilot Study of a Cross-Disciplinary Module Set
Jie Chao; Rebecca Ellis; Shiyan Jiang; Daria Smyslova; Qiuqing Li; Carolyn P. Rose; Zhen Wu; Amato Nocera; Christy Byrd; Dianne O'Grady-Cunniff; Stephen Callahan - Situating Youth Agency in Designing AI and Art Policies
Safinah Ali; Ayat Abodayeh; Vishesh Kumar; Cynthia Breazeal - 'What Do Children Think About AI?' Primary School Students' Perceptions of AI: Insights and Educational Implication
Maria Kasinidou; Styliani Kleanthous; Jahna Otterbacher
10:30-11:00: Coffee Break
11:00-12:00: Blue Sky Ideas
Chair: Lisa Zhang
- Erfan Farhadi
- Firas Moosvi
- Praveen Kumar Guraja
- Amy Eguchi
- Avinash Anand
12:00-2:00: Lunch Break
2:00-2:30: Session 2a - Unplugged Activities
Chair: Amy Eguchi
- Unplugged Activities on Machine Learning and Their Evaluation Through Mental States Attribution
Matteo Baldoni; Cristina Baroglio; Monica Bucciarelli; Sara Capecchi; Leonardo Castellani; Elena Gandolfi; Francesco Ianì; Elisa Marengo; Roberto Micalizio - AI Unplugged: Embodied Interactions for AI Literacy in Higher Education
Jennifer Reddig; Scott Moon; Kaitlyn Crutcher; Christopher MacLellan
2:30-3:45: Session 2b - Model AI Assignment (I)
Chair: Todd Neller. MAIA Repository (http://modelai.gettysburg.edu/)
- Ranking Large Language Models with LMArena
Lisa Dunlap, Taehan Kim, Narges Norouzi, Joseph Gonzalez, Deena Sun, Ishir Garg, Mark Ogata and Aakarsh Vermani - ArguBot Arena: Prompt Engineering a Debate on Responsible AI
Steve Geinitz - Solving Connections: Thinking Like Wyna
Kevin Wang, Zach Dodds and Nicholas Dodds - RevMax: Revenue-Maximizing Recommendation System Competition
Fang Sun, Paul Zhang, Pranav Subbaraman and Yizhou Sun
3:45-4:30: Coffee Break
4:30-6:30: Session 3 - AI for Education: Feedback and Tutoring
Chair: Oscar Karnalim
- MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer
Joaquín Jordán; Xavier Yin; Melissa Fabros; Gireeja Ranade; Narges Norouzi - "Debate Guru": Honing Public Speaking Skills Among Secondary School Students with AI Tutoring Systems
Zachary Nadan; Nathan Goldberg; Roozbeh Aliabadi; Shuhan Li - EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants
Meenakshi Mittal; Rishi Khare; Mihran Miroyan; Chancharik Mitra; Narges Norouzi - An Explanation-Based Classroom Response System for Real-Time Analysis of Undergraduate Students' Natural Language Explanations
Jordan Esiason; Priyanka Khare; Claire Aguiar; Dan Carpenter; Wookhee Min; Seung Lee; Gamze Ozogul; Xiaoying Zheng; James Lester - TacpAgent: Enhancing Student Engagement in Classroom Exercises Through LLM-Generated Feedback
Wanlu Zhang; Jia Zhu; Xi Yang; Weijie Shi; Yue Cui; Xinle Dai; Jiewen Sun - SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving
Van-Khanh Tran; Van-Khai Dang; Duc-Huy Nguyen - Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities
Guoliang Xu; James Corter - AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
Yun Wang; Zhaojun Ding; Xuansheng Wu; Siyue Sun; Ninghao Liu; Xiaoming Zhai
Sunday, January 25, 2026
8:30-9:45: AAAI/EAAI Patrick Henry Winston Outstanding Educator Award
Chair: Narges Norouzi
9:45-10:30: Session 4 - AI Teacher Education
Chair: Braford Mott
- Integrating AI Competencies into Teacher Education Programs
Amy Eguchi; Stacy George; Lucretia Fraga; Nancye Black; Camille Dempsey; Alecia Blackwood; Sue Kasun - AI Scholars Program: Scaling AI Literacy Through K-12 Outreach
Xiaoyi Tian; Yasitha Rajapaksha; Ally Limke; Clara DiMarco; Emily Bryans Dobar; Marnie Hill; Jamie Payton; Tiffany Barnes - Co-Designing Unplugged Learning Activities with K-2 Teachers for Early AI Literacy Education
Jessica Vandenberg; Keisha Bailey; Claire Aguiar; Cecilia Xuning Zhang; Danny Schmidt; Treshonda Rutledge; Bradford Mott; Joseph Wilson
10:30-11:00: Coffee Break
11:00-12:00: Session 5 - Game-Based Learning in AI
Chair: Amy Eguchi
- Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke; Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Tuomo Parkki; Teemu Roos; Matti Tedre - Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets
Katherine Moore; Helen Zhang; Irene Lee - Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students
Erfan Farhadi; Kenneth Fei; Yifan Jiang; Zhen Bai - Large Participation Experiential Learning Activity for Multiagent Systems
Alan Tsang
12:00-2:00: Lunch Break
2:00-3:00: Session 6a - Teaching Machine Learning
Chair: Narges Norouzi
- Impact of a Data-driven Teaching Approach on 9th Graders Conceptual Understanding of Machine Learning
Erik Marx; Thiemo Leonhardt; Nadine Bergner - Analysis of Motivations in Machine Learning Textbooks
Khushi Malik; Amber Richardson; Tingting Zhu; Lisa Zhang - Balancing Scaffolding and Autonomy: A Case Study in Designing a Scalable Undergraduate Machine Learning Research Course
Xinyue Chen; Sharon Jessica; Xu Wang; Sindhu Kutty - Effective Strategies for Teaching Machine Learning
Firas Moosvi; Fraida Fund; Varada Kolhatkar; Meiying Qin; Thomas Price; Lisa Zhang
3:00-4:00: Session 6b - Model AI Assignment (II - ML)
Chair: Todd Neller. MAIA Repository (http://modelai.gettysburg.edu/)
- Dimensionality Reduction Adventures with Animal Faces
Varada Kolhatkar - Discover Combinatorial Structures using Deep Cross-Entropy Method
Ryan O Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray and Deepak Ajwani - Engaging with Bias in Computer Vision: A Group Assignment for Remote Learning
Tahiya Chowdhury - CS2023 Machine Learning CS Core
Todd Neller
4:00-4:30: Coffee Break
4:30-5:00: Session 7 - Hardware
Chair: Bradford Mott
- Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving
Sandra Roach; Karis Boyd-Sinkler; Visrut Sudhakar; Shaundra Daily; Miroslav Pajic; Whitney McCoy - Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities
Ann-Marie Gursch; Xuanshu Luo; Lilian Hasse; Carsten Trinitis; Ulrike Lucke; Martin Werner; Milos Krstic
5:15-6:15: Birds of a Feather
- AI in K12 Education Amy Eguchi
- Assessment in ML/AI Education Firas Moosvi
- AI Education in Asia Pradeep Varakantham
Monday, January 26, 2026
9:00-10:30: Session 8 - AI for Education
Chair: Erfan Farhadi
- Speaker Anonymization for Children's Oral Reading Assessment
Sandipan Dhar; Srikanth Raj Chetupalli; Preeti Rao - Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis
Ryosuke Nakamoto; Brendan Flanagan; Kohei Nakamura; Hiroaki Ogata - A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning
Yeo Jin Kim; Daeun Hong; Tianshu Wang; Wookhee Min; Snigdha Chaturvedi; Cindy E. Hmelo-Silver; James Lester - Thinking Through the Hands: An Exploratory Study of Hand Movements to Assess Students Problem-Solving in Mechanistic Reasoning Tasks
Harshil Safi; Megha Bansal; Madhu Vadali; Barbara Bruno; Aditi Kothiyal - Generative AI as a Cognitive Co-Participant: Disciplinary Modulation of EFL Academic Reading Load and Motivation
Yingqi Wang; Xiaohang Luo - Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts
Luyang Fang; Tao Wang; Ping Ma; Xiaoming Zhai
10:30-11:00: Coffee Break
11:00-12:30: Session 9 - AI for AI/STEM Education
Chair: Avinasha Anand
- Context Selection and Rewriting for Video-based Educational Question Generation
Mengxia Yu; Bang Nguyen; Olivia Zino; Meng Jiang - Sound-AI: A Pedagogical Tool for Exploring AI in Audio and Bioacoustic Research
Muhammad Azeem; Hoang D. Nguyen; Rosane Minghim - SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
Eric Xie; Danielle Waterfield; Michael Kennedy; Aidong Zhang - LeanTutor: Towards a Verified AI Mathematical Proof Tutor
Manooshree Patel; Rayna Bhattacharyya; Thomas Lu; Arnav Mehta; Niels Voss; Narges Norouzi; Gireeja Ranade - Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors
Zifeng Liu; Hai Li; Jie Chao; Wanli Xing - How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education
Ba-Thinh Tran-Le; Patrick Thomas; Nicholas M. Stiffler; Thuy Ngoc Nguyen
12:30-2:00: Lunch Break
2:00-3:30: Session 10 - Teaching LLMs and GenAI
Chair: Kate Moore
- Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module
Ruiwei Xiao; Xinying Hou; Ying-Jui Tseng; Hsuan Nieu; Guanze Liao; John Stamper; Kenneth R. Koedinger - Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents
Long Nguyen; Duc Nguyen; Quan Bui; Dung Phan; Dung Le; Khanh Nguyen; Quynh Vo; Khang Vo; Nam Duong; Anh Dinh; Tri Trinh; Chi Phan; An Nguyen; Thai Nguyen; Dang Le; Vinh Dang; Tho Quan - Understanding the Effects of GenAI as No-Code Alternative for Teaching Machine Learning Workflows
Martin Strobel - Bridging the Skills Gap: A Course Model for Modern Generative AI Education
Hamilton Murrah; Anya Bardach - From Embeddings to Chatbots: Playful NLP Activities for Middle School AI Literacy
Jessica Vandenberg; Alex Goslen; Claire Aguiar; Wookhee Min; Veronica Catete; Bradford Mott - Beyond Prompting: AI Safety Education in the Generative AI Era
Phan Xuan Tan; Eiji Kamioka; Van Nguyen
3:30-4:00: Coffee Break
4:00-5:00: EAAI Community Meeting
About EAAI-26
The Sixteenth Symposium on Educational Advances in Artificial Intelligence (EAAI-26) will be held along with AAAI-26.
EAAI-26 provides a venue for researchers and educators to discuss pedagogical issues and share resources related to teaching and using AI in education across various curricular levels (K-12 through postgraduate training), emphasizing undergraduate and graduate teaching and learning. The symposium seeks contributions showing how to teach AI more effectively and how themes from AI may be used to enhance education more broadly (for example, in introductory computing courses or as a means for teaching computational thinking). We encourage sharing innovative educational approaches that convey or leverage AI and its many subfields, including robotics, machine learning, natural language processing, computer vision, and others.
EAAI-26 is expected to include invited talks (including a talk of the recipient of the AAAI/EAAI Outstanding AI Educator Award 2026), Model AI Assignments; two special tracks for 1) Resources for Teaching AI in K-12, 2) AI for Education, and other exciting activities.
Call for Participation
The call for participation is now available here.
EAAI-26 has several tracks for submission:
- Main Track (link)
- Special Track: AI for Education (link)
- Special Track: Resources for Teaching AI in K-12 (link)
- Special Track: Model AI Assignments (link)
Details for length and style of submissions are provided in the call for participation.
All submissions should be anonymous for double-blind review.
EAAI-26 will not consider any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a refereed journal or conference. Once submitted to EAAI-26, papers may not be submitted to another refereed journal or conference during the review period. These restrictions do not apply to unrefereed forums or workshops without archival proceedings.
AAAI/EAAI Outstanding Educator Award
We will invite you to submit your nominations for the 2026 AAAI/EAAI Patrick Henry Winston Outstanding Educator Award soon!AAAI/ACM SIGAI Innovative AI Education Program
EAAI-26 will continue the AAAI/ACM SIGAI Innovative AI Education Program. More information on how to apply will be available in June 2025. Additional information including this year's call for participation and a list of past awardees is available at https://eaai-conf.github.io/eaai/iaep.html.EAAI-26 Organizers and Contact Information
Correspondence may be sent to EAAI at eaai26chairs@aaai.org.
EAAI-26 Co-Chairs
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Narges Norouzi
University of California Berkeley
website -
Lisa Zhang
University of Toronto Mississauga
website
EAAI-26 Finance Chair
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Vinitra Swamy
École Polytechnique Fédérale de Lausanne (EPFL)
website
Support for EAAI-26
Generous support for EAAI is made available by:
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