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We investigated the utility of ChatGPT 3.5 in the creation of a fully online asynchronous higher education course. Our collaborative effort with ChatGPT resulted in developing a Master’s level course on Trends and Issues in Instructional Design using the Backward Design Model. Throughout this process, we recognized the critical role of precise prompts and the need for continuous refinement to achieve the best possible outcomes. We delineated a workflow for effective prompts, underscoring the importance of setting clear objectives, employing a systematic sequence of prompts, and integrating feedback loops. Our research also emphasizes best practices and highlights the value of human expertise in collaboration with AI and the significance of validating AI-generated output. Through this process, we were able to develop a 14-week, three-credit course in a significantly reduced amount of time including generating HTML and CSS code for the Learning Management System. Although ChatGPT proves to be a powerful tool with the potential to expedite online course design and development significantly, it is crucial to acknowledge that human expertise remains indispensable for achieving optimal results.
Conklin et al. (Tue,) studied this question.