Roundtable: Exploring the Impact of AI on Pedagogy in Criminal Justice Education

Session Submission Type: Roundtable Sessions

Abstract/Description

Artificial intelligence (AI) is rapidly transforming higher education, and criminal justice programs are no exception. This roundtable will explore how AI-driven technologies influence pedagogy, from reshaping traditional teaching methods to altering student engagement and assessment strategies. As AI-generated content, adaptive learning platforms, and automated grading systems become more prevalent, educators must navigate ethical considerations, academic integrity concerns, and the balance between technological integration and critical thinking development.
The discussion will focus on the opportunities and challenges AI presents in preparing students for careers in criminal justice. The discourse at this roundtable will address strategies for incorporating AI literacy into curricula while maintaining rigorous educational standards. This session intends to share insights, experiences, and best practices for effectively leveraging AI to enhance learning outcomes in criminal justice education. By fostering a collaborative dialogue, this roundtable aims to generate innovative approaches that ensure AI serves as a tool for educational advancement rather than a barrier to student development.

Sub Unit

• Area XIV. Roundtables

Chair

• Hyoungah Park, Saint Peter's University

Discussants

• Hyesun Kim, Worcester State University

• Byung Jun Cho, Westfield State University

• Juyoung Song, Penn State University

• Francesca Spina, Westfield State University

Organized by a Division or external group?

Artificial Intelligence and Criminal Justice Division at KOSCA (Korean Society of Criminologists in America).