Ethical AI in Teacher Preparation: Exploring Mindsets to Transform Practice

Authors

Joseph Rene Corbeil, The University of Texas Rio Grande ValleyFollow
Leticia De Leon, The University of Texas Rio Grande Valley
Maria Elena Corbeil, The University of Texas Rio Grande ValleyFollow

Document Type

Conference Proceeding

Publication Date

3-2025

Abstract

This paper describes a survey study on the AI perspectives of pre-service teachers. The study included 115 participants who completed a survey to gather quantitative and qualitative data on their use and perceptions AI, as well as on ethical concerns surrounding its use. The conceptual framework guiding this work is the “Human – AI – Human” developed by the Washington Office of Superintendent of Public Instruction (2024). This framework offered a lens that grounded ethical behavior through a human-guided perspective. This study found that pre-service teachers did not generally prefer to use AI and were concerned with its ethical implications. They voiced the need for greater guidance and clearer guidelines for its use. This suggests a need for phasing in a human-guided framework that allows for AI practices to involve human inquiry into the processes, responsible implementation, and a great deal of human reflection.

Comments

Copyright by AACE. Reprinted from with permission of AACE (https://aace.org).

Recommended Citation

Corbeil, J.R., Deleon, L. & Corbeil, M.E. (2025). Ethical AI in Teacher Preparation: Exploring Mindsets to Transform Practice. In R. Jake Cohen (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 2724-2729). Orlando, FL, USA: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/225862/

First Page

2724

Last Page

2729

Publication Title

Proceedings of Society for Information Technology & Teacher Education International Conference