Enhancing AI Education at an MSI: A Design-Based Research Approach

Authors

  • Sambit Bhattacharya Fayetteville State University
  • Bogdan Czejdo Fayetteville State University
  • Rebecca A. Zulli Cynosure Consulting, LLC
  • Adrienne A. Smith Cynosure Consulting, LLC

DOI:

https://doi.org/10.1609/aaaiss.v3i1.31258

Keywords:

Increasing Diversity in AI Education and Research

Abstract

While students are often passionate about their chosen fields, they often have limited awareness of the profound impact of AI technologies on their professions. In order to advance efforts in building subject-relevant AI literacy among undergraduate students studying Computer Science and non-Computer Science (Criminal Justice and Forensic Science) it is imperative to engage in rigorous efforts to develop and study curricular infusion of Artificial Intelligence topics. Using a Design-Based Research model, the project team and the external evaluators studied the first iteration of the module development and implementation. Using data collected through surveys, focus groups, critical review, and reflection exercises the external evaluation team produced findings that informed the project team in revising and improving their materials and approach for the second iteration. These efforts can help educators and the AI module developers tailor their AI curriculum to address these specific areas, ensuring that students develop a more accurate understanding of applications of AI in their future career field.

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Published

2024-05-20

Issue

Section

Increasing Diversity in AI Education and Research