A Collaborative, Interdisciplinary Approach to AI in Education

Alternative Title

A Collaborative, Interdisciplinary Approach to Artificial Intelligence (AI) in Education

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)

Location

Universal Center

Start Date

29-5-2025 11:50 AM

End Date

29-5-2025 12:05 PM

Publisher

University of Central Florida Libraries

Keywords:

Collaboration; Human-centered design; Ethical AI; Global research agenda; Educational innovation

Subjects

Artificial intelligence--Educational applications; Interdisciplinary approach in education; Artificial intelligence--Research; Education--Aims and objectives--Research; Educational innovations--Research

Description

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.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Researchers; Educators

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May 29th, 11:50 AM May 29th, 12:05 PM

A Collaborative, Interdisciplinary Approach to AI in Education

Universal Center

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.

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.