Empowering Students to Engage Critically: Integrating AI Competencies into Collaborative Assignments

Alternative Title

Empowering Students to Engage Critically: Integrating Artificial Intelligence (AI) Competencies into Collaborative Assignments

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

Seminole D

Start Date

29-5-2025 3:15 PM

End Date

29-5-2025 3:40 PM

Publisher

University of Central Florida Libraries

Keywords:

AI competencies; Collaborative learning; Critical engagement; Student empowerment; Educational strategies

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching; Critical thinking--Study and teaching (Higher); Team learning approach in education; Interdisciplinary approach in education--Evaluation

Description

As AI continues to rise in education, empowering students to critically engage with AI tools is more important than ever. This presentation will explore applied strategies for integrating UNESCO' s AI Competencies Framework into group assignments, promoting critical analysis of AI tools and information generated from them. This approach not only provides insight for integrating AI skills into existing assignments but also boosts student engagement. While primarily student-focused, these insights invite broader faculty discussions on advancing AI education.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty; Students

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May 29th, 3:15 PM May 29th, 3:40 PM

Empowering Students to Engage Critically: Integrating AI Competencies into Collaborative Assignments

Seminole D

As AI continues to rise in education, empowering students to critically engage with AI tools is more important than ever. This presentation will explore applied strategies for integrating UNESCO' s AI Competencies Framework into group assignments, promoting critical analysis of AI tools and information generated from them. This approach not only provides insight for integrating AI skills into existing assignments but also boosts student engagement. While primarily student-focused, these insights invite broader faculty discussions on advancing AI education.