JIPE Article: Effects of an Online Faculty Educational Module on Instructor Knowledge and Confidence in Using Artificial Intelligence

Journal of Innovation in Polytechnic Education (JIPE) is pleased to announce the publication of “Effects of an Online Faculty Educational Module on Instructor Knowledge and Confidence in Using Artificial Intelligence” by Jennie Miron, PhD, and Caleb Domsy, MI. 

Abstract

This study examined whether a generative artificial intelligence (genAI) training module improved instructors' knowledge and confidence in integrating genAI into teaching at a large Canadian polytechnic institution. Using a quantitative design, two surveys measured changes pre- and post-module among instructors (n = 55; follow-up n = 20). Independent samples t-tests revealed significant gaps in nine knowledge items and six confidence items, with five paired items showing concurrent improvement. Notably, enhancements were strongest in areas such as citation practices, prompt engineering, and assignment design. While knowledge generally increased, confidence gains were less consistent, particularly for complex ethical topics. Findings suggest targeted training might advance higher education instructors' AI literacy and readiness for responsible AI integration. However, further research is needed to explore confidence gaps and sustain instructor engagement with AI.

Read “Effects of an Online Faculty Educational Module on Instructor Knowledge and Confidence in Using Artificial Intelligence”.  

About JIPE

Journal of Innovation in Polytechnic Education (JIPE) is an online, open-access journal that mobilizes knowledge and insights generated by the global polytechnic community. JIPE is published by Humber Press at Humber Polytechnic and accepts submissions on a rolling basis. To learn more about JIPE, please visit jipe.ca.