Work

REPAC

Year: 2025

Type: article

Abstract: This essay presents a framework of critical questions designed to guide EdD program leaders and faculty in integrating generative artificial intelligence (GenAI) into their curricula and policies. The REPAC framework aids in reflecting, reenvisioning, and redesigning educational practices to better incorporate GenAI, focusing on how candidates learn with and about AI tools. These questions ensure that program transformations are evaluated through equity, ethics, and justice lenses. Moreover, they provide a foundation for revising policies and practices, developing new guidelines, and promoting innovative AI use while upholding academic integrity. Authored by faculty from three institutions, this framework includes scenarios that illustrate the educational potential and impact of GenAI, scaffolding the decision-making process and fostering an understanding of AI tools in EdD programs.

Source: Impacting Education Journal on Transforming Professional Practice

DOI: 10.5195/ie.2025.469

Authors: Elizabeth Langran, Paula Cristina R. Azevedo, Oliver Dreon, Stephanie Smith Budhai, Clara Hauth

Institutions: Marymount University, Millersville University, University of Delaware

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4407242097

FWCI: 2.214

Cites:

Cited by: 2

Related to: 10