A Collaborative, Interdisciplinary Approach to AI in Education

AIEOU aims to promote a research-informed, ethical, human-centered approach to AI in Education through global collaboration and knowledge exchange. Working across the four pillars of design, regulation, implementation and impact, researchers at the University of Oxford are looking to collaborate with expert colleagues and key stakeholders from around the world to establish a shared research agenda. We seek to co-create a use case for AI in Education that represents best practice in quality teaching and learning.

Publication Details

Journal
Journal of International Crisis and Risk Communication Research
Published
2025-05-29
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
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article

A Collaborative, Interdisciplinary Approach to AI in Education

Journal of International Crisis and Risk Communication Research
Intelligent Tutoring Systems and Adaptive Learning
article

A Collaborative, Interdisciplinary Approach to AI in Education

article en

Abstract

AIEOU aims to promote a research-informed, ethical, human-centered approach to AI in Education through global collaboration and knowledge exchange. Working across the four pillars of design, regulation, implementation and impact, researchers at the University of Oxford are looking to collaborate with expert colleagues and key stakeholders from around the world to establish a shared research agenda. We seek to co-create a use case for AI in Education that represents best practice in quality teaching and learning.

Journal of International Crisis and Risk Communication Research
Partnerships for the goals
Openalex Percentile: Top 20%
Intelligent Tutoring Systems and Adaptive Learning
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A Collaborative, Interdisciplinary Approach to AI in Education · Journal of International Crisis and Risk Communication Research (2025) | TGRS Research Map | TGRS