Content-type: text/html ~ Stephen's Web ~ A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical review

Stephen Downes

Knowledge, Learning, Community

This paper (21 page PDF) is a review of papers proposing AI competence frameworks for teachers (CFT) and organizes them into five categories: integrating AI competencies in existing CFT; modelling new AI knowledge domains; process-driven; AI systems-driven; and competence level-driven. True to their field, the authors stress the need to theorize. "The empirical and design-based nature of AIED requires a solid theoretical foundation. The adoption of theoretical frameworks serves as a unifying force, fostering shared concepts and terminology among researchers and designers." But it's not clear there is (or is going to be) agreement on just what to theorize. This depends on what we want teachers to do, and as the authors note, "it is important to understand what kind of problems AI teachers' competencies will solve and what kind of solutions AI teachers' competencies convey."

Today: 0 Total: 59 [Direct link] [Share]

Stephen Downes Stephen Downes, Casselman, Canada

Copyright 2024
Last Updated: Jun 14, 2024 05:13 a.m.

Canadian Flag Creative Commons License.