Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences
Meng Xia, Yan Chen, Qiao Jin, Yang Shi, Paul Denny + 3 more
TLDR
This workshop unites AI, HCI, and learning sciences to design and evaluate advanced human-AI learning interfaces.
Key contributions
- Brings together AI, HCI, and learning science experts to collaborate.
- Focuses on human-AI collaborative learning interface design and evaluation.
- Emphasizes technical robustness, human-centeredness, and pedagogical grounding.
- Identifies shared challenges and future research directions for learning tech.
Why it matters
Integrating AI, HCI, and learning sciences is key to creating effective learning tools. This workshop fosters collaboration to advance human-AI learning interfaces.
Original Abstract
This workshop addresses this gap by bringing together researchers and practitioners from AI, HCI, and the learning sciences to explore how interactive systems can better support learning. We focus on the design and evaluation of human-AI collaborative learning interfaces that are technically robust, human-centered, and pedagogically grounded. By fostering interdisciplinary dialogue, the workshop aims to identify shared challenges, design principles, and research directions for next-generation learning technologies.
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