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

Year: 2026

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2604.25721

Authors: Xia, Meng, Chen, Yan, Jin, Qiao, Shi, Yang, Denny, Paul, Barnes, Tiffany, Wen, Qingsong, Aleven, Vincent

Institutions: Virginia Tech, North Carolina State University, Utah State University, University of Auckland, University of Oxford, Carnegie Mellon University

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7157604156

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