Integrating Generative AI into Course Content Development

Abstract

Generative AI, through the efficient production of various forms of material, has the ability to completely transform the way that course content is developed. The use of generative AI in the creation of course content is crucial since it may further optimize the procedure, lessen the strain for teachers, and provide personalized, excellent, and captivating learning resources. The study aims to demonstrate how generative AI is included in the creation of course materials. Additionally, it suggests the use of a new framework called "Generative AI for Instructional Development and Education," or "GAIDE," which further makes use of AI's potential to improve educational outcomes. The use of generative AI in this framework demonstrated in particular how effective and useful these integrations were for creating instructional content and how applicable they were for creating, modifying, and evaluating the content. A mixed-methods strategy is being used in this project, which integrates quantitative and qualitative data collection techniques. The study's sample was primarily made up of about 75 Indian volunteers. The evaluation metrics for this study primarily consist of structured questionnaires and analysis using SPSS software for quantitative data analysis. Thematic analysis is used to evaluate secondary qualitative data in order to identify numerous recurrent themes and various patterns.  As per the findings of this study, the applicability of generative AI is emergent and progressive for course content generation through stages of prompts and refinement, while the impact is held strongly through the efficiency delivered in faster and more extensive means for generating and refining quality course content through generative AI.