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

TL;DR

This paper discusses a workshop that unites AI, HCI, and learning sciences researchers to develop and evaluate advanced human-AI learning interfaces that are effective, user-friendly, and pedagogically sound.

Contribution

It introduces an interdisciplinary approach to designing and assessing next-generation learning interfaces that integrate AI, HCI, and educational principles.

Findings

Identified shared challenges in designing AI-supported learning tools.

Proposed design principles for human-AI collaborative learning interfaces.

Outlined future research directions for interdisciplinary 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.