Workshop Schedule (Tentative)
June 28, 2026 · AIED 2026 · Full-Day In-Person Workshop
Full-Day Schedule
| 9:00 – 9:05 | Welcome and Workshop Overview |
| 9:05 – 9:35 |
Opening Panel Discussion
Framing the Workshop: Why Human–AI Collaborative Learning Interfaces, Why Now?
|
| 9:35 – 10:50 |
Spotlight Presentations I
AI Feedback, Tutoring, and Self-Regulated Learning
|
| 10:50 – 11:20 | ☕ Coffee Break |
| 11:20 – 12:20 |
Spotlight Presentations II
Multimodal, Interactive, and Generative Learning Interfaces
|
| 12:20 – 13:45 | 🍱 Lunch Break and Informal Demo Showcase |
| 13:45 – 14:45 |
Spotlight Presentations III
Learning Analytics, Teacher Support, and Responsible AI
|
| 14:45 – 15:15 | ☕ Coffee Break |
| 15:15 – 16:15 |
Spotlight Presentations IV
AI for Writing, Reasoning, and Computing Education
|
| 16:15 – 16:50 |
Open Discussion and Community Input
Current Practices, Challenges, and Future Opportunities for Human–AI Collaborative Learning Interfaces
|
| 16:50 – 17:00 | Closing Reflections |
Spotlight Presentations I · AI Feedback, Tutoring, and Self-Regulated Learning
| 9:35 – 9:50 |
Designing and Evaluating an AI-Supported Learning Activity: How Do Students Regulate Learning with GenAI?
Yi Song (ETS Research Institute)
Yang Jiang (ETS Research Institute) Jeremy Lee (ETS Research Institute) Chunyi Ruan (ETS Research Institute) |
| 9:50 – 10:05 |
Regulating the AI Tutor: Adolescent Help-Seeking and Self-Regulated Learning with GenAI in Mathematics Learning: A Work in Progress
Rania Abdelghani (University of Tübingen)
Peter Kaiser (University of Tübingen) Kou Murayama (University of Tübingen) |
| 10:05 – 10:20 |
An Actionability Gradient in LLM-Based Writing Feedback: Evidence from 196K Student Draft in K–12 Argumentative Writing
Liujing Ren (ThinkCERCA)
Emily Leblanc (ThinkCERCA) Boxing Li (ThinkCERCA) |
| 10:20 – 10:35 |
MetaCues: GenAI-Supported Exploratory Learning Guided by Metacognitive Cues
Anjali Singh (University of Texas at Austin)
Karan Taneja (Georgia Institute of Technology) Zhitong Guan (University of Texas at Austin) Soo Young Rieh (University of Texas at Austin) |
| 10:35 – 10:50 |
Turning 500+ Students into Teachers: A Semester-Long Study of an AI Teachable Agent in an Undergraduate Algorithms Course
Chenyang Wang (École Polytechnique Fédérale de Lausanne)
Christopher Petrie (École Polytechnique Fédérale de Lausanne) Miltiadis Stouras (École Polytechnique Fédérale de Lausanne) Nicolas Ettlin (École Polytechnique Fédérale de Lausanne) Amaury George (École Polytechnique Fédérale de Lausanne) Paola Mejia-Domenzain (École Polytechnique Fédérale de Lausanne) Vinitra Swamy (École Polytechnique Fédérale de Lausanne) Tanja Käser (École Polytechnique Fédérale de Lausanne) Ola Svensson (École Polytechnique Fédérale de Lausanne) |
Spotlight Presentations II · Multimodal, Interactive, and Generative Learning Interfaces
| 11:20 – 11:35 |
Designing Temporally Grounded Multimodal Learning Interfaces for Verifiable Interaction
Rongyu Wang (University of Reading)
|
| 11:35 – 11:50 |
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
Karan Taneja (Georgia Institute of Technology)
Anjali Singh (University of Texas at Austin) Ashok K. Goel (Georgia Institute of Technology) |
| 11:50 – 12:05 |
From Explanation to Diagnosis: Next Generation Interactive Video Coach with Misstep Awareness
Xiao Jin (Georgia Institute of Technology)
Rahul K. Dass (Georgia Institute of Technology) Ashok K. Goel (Georgia Institute of Technology) |
| 12:05 – 12:20 |
The Missing Layer: Why EdTech Needs Design-Time Generative UI, Not Just Runtime Personalization
Seyed Parsa Neshaei (École Polytechnique Fédérale de Lausanne)
Abhinand Shibu (École Polytechnique Fédérale de Lausanne) Fatma Betül Güres (École Polytechnique Fédérale de Lausanne) |
Lunch Break · Informal Demo Showcase (12:20 – 13:45)
| Demo |
Cognitive Engine: A Gesture-Driven Multimodal Learning Interface for Embodied Cognitive Training and Reflective Visualization
Tianyi Chen (University of Hong Kong)
|
| Demo |
An Embodied Learning System in AI-Supported Mixed Reality for Computer Science Education
Chih-Pu Dai (Texas A&M University)
Bryan Kim (Texas A&M University) Md Hasan Al Banna (Texas A&M University) Aayush Bhandari (Texas A&M University) Yuntong Zhang (Texas A&M University) Meng Xia (Texas A&M University) Seung Won Yoon (Texas A&M University) Jong-in Lee (Texas A&M University) Tracy Hammond (Texas A&M University) |
Spotlight Presentations III · Learning Analytics, Teacher Support, and Responsible AI
| 13:45 – 14:00 |
MathFlowLens Teacher Dashboard: Using Learning Analytics to Gain Actionable Insights About Strategic Thinking in Mathematics
Erin Ottmar (affiliation not provided in submission form)
Christian Rua (affiliation not provided in submission form) Siddhartha Pradhan (affiliation not provided in submission form) |
| 14:00 – 14:15 |
Does Visual Privacy Leakage Compromise Fairness in Multimodal Automated Feedback? Extending Group Fairness to Privacy Contexts
Hai Li (University of Florida)
Wanli Xing (University of Miami) Chenglu Li (University of Utah) Neil Heffernan (Worcester Polytechnic Institute) |
| 14:15 – 14:30 |
AI Expert Twin: Capturing Expert Cognition for Human-Centred, Practice-Based Learning
Annie Yuan (The University of Sydney)
Xiaohua Chen (Beijing Institute of Fashion Technology) Kalina Yacef (The University of Sydney) Judy Kay (The University of Sydney) |
| 14:30 – 14:45 |
CIALLO: Chrome-based Interactive Agent for LLM-powered Learning Online
Kehao Zheng (Utah State University)
Yang Shi (Utah State University) |
Spotlight Presentations IV · AI for Writing, Reasoning, and Computing Education
| 15:15 – 15:30 |
Integrating GenAI and Corpora in Translation Pedagogy: Effects on Students' Self-Regulated Learning and Engagement
Xu Simin (The Hong Kong Polytechnic University)
Zhou Yushan (The Hong Kong Polytechnic University) Su Yanfang (Lingnan University) |
| 15:30 – 15:45 |
Mapping Motivational Diversity: A Q-Method Study of Basic Psychological Need Satisfaction in AI-Assisted Corpus-Based DDL Argumentative Writing
Zhou Yushan (The Hong Kong Polytechnic University)
Wu Qian (Guangxi University) Su Yanfang (Lingnan University) Xu Simin (The Hong Kong Polytechnic University) Kanglong Liu (The Hong Kong Polytechnic University) |
| 15:45 – 16:00 |
Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Grounding, and Multi-Hop Coverage
Sarah Elshabrawy (Georgia Institute of Technology)
Rahul K. Dass (Georgia Institute of Technology) Ashok K. Goel (Georgia Institute of Technology) |
| 16:00 – 16:15 |
From Code Generation to Computational Design: Generative AI as an Interactive Partner for Future Computer Science Education
Yichen Andy Yu (North Carolina State University)
Qiao Jin (North Carolina State University) |
Open Discussion and Community Input
In this open-ended discussion, participants will reflect on current practices, key challenges, and future opportunities in designing and evaluating human–AI collaborative learning interfaces that are technically robust, human-centered, and pedagogically grounded. We will invite participants to share and organize their perspectives through small-group discussion and a shared Miro board. The collected ideas may inform a future position paper or commentary that synthesizes community perspectives on research directions at the intersection of AI, HCI, and the learning sciences.
Presentation Format
Each accepted paper or encore presentation has a 15-minute slot, including an 8-minute talk, 2–3 minutes for an audience-only roundtable discussion, 2–3 minutes for Q&A with the author, and 1 minute for transition, setup, and buffer. Accepted demos will be showcased informally during lunch. No formal demo presentation is required.