Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences

2026-04-28

AI Summary

Current learning interfaces suffer from a fragmentation among technical robustness, user-centered design, and grounding in educational theory, lacking effective interdisciplinary integration. This work addresses this gap by synthesizing insights from artificial intelligence, human-computer interaction, and the learning sciences to propose a cohesive set of design principles and a research agenda for next-generation learning interfaces centered on human-AI collaboration. By integrating interactive AI technologies, theoretically informed models of learning, and user-centered system design, the study identifies key challenges and articulates a scalable framework that is pedagogically effective, technically reliable, and aligned with learners’ needs. The resulting approach offers both a theoretical foundation and a practical pathway for advancing the next generation of learning technologies.

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.

Problem

• learning interfaces
• human-AI collaboration
• interdisciplinary design
• next-generation learning technologies
• pedagogical grounding

Innovation

• human-AI collaboration
• learning interfaces
• interdisciplinary design
• pedagogically grounded AI
• interactive learning systems