Integrating generative AI with open educational practices (OEP) in an online learning environment: Perceptions of College instructors, Potentials, and Challenges

Abstract

This article delves into open educational practices (OEP) and generative artificial intelligence (AI) form college instructor perspectives. The novelty of this study lies in bringing new insights by thoroughly examining the adoption of OER by using generative artificial intelligence (GeAI) in on line learning environment. Furthermore, it adds to the global conversation on OER implementation in transitioning nations, emphasizing how OER can democratize knowledge and enhance skill development in such environments. In terms of practical application, the study offers valuable insights for policymakers, educators, and institutions, equipping them with the necessary information to address current challenges and devise effective strategies for integrating OER into open educational practices (OEP).  Investigating perceptions of combining GenAI tools with OER can help instructors better plan activities that utilize these tools in the higher education context. The present research considers four components of college instructors’ perceptions of GenAI tools: efficiency, interaction, affect, and intention. A mixed approach of quantitative and qualitative methodologies, by using a questionnaire and by conducting focus groups and interviews. A total of 50 college instructors responded to the questionnaire, while 21 instructors who teach different disciplines at Palestine Technical University Kadoorie (PTUK) who use generative AI in their courses.  The study findings showed that low scores in affect perceptions, and significantly medium scores in intention, efficiency but significant high scores the interaction component of perceptions. Themes emerged from data analysis with main theme which is content creation for advantages. Themes for challenges emerged like: data privacy, transparency, and ethical use. It is recommended to implement practical approaches for responsibly integrating AI tools in educational settings include implementing robust data governance frameworks to safeguard privacy and conducting regular audits of AI systems to detect and address biases.