Abstract:

This case study explores the potential of using generative AI, specifically chatGPT, to support instructional design in educational settings. The study compares chatGPT-generated epitomes based on Reigeluth's Elaboration Theory with content expert-generated epitomes based on the same theory for curricular learning objectives.

Elaboration Theory is an instructional design framework that emphasizes organizing and sequencing content in a hierarchical manner, starting with simple concepts and gradually increasing complexity. AI-generated content has shown potential in various educational applications, such as personalized learning, content generation, and formative assessment. However, traditionally in medical education, educational content has been developed by content experts who possess a deep understanding of the subject matter but may not be well educated in the academic literature in Education or Instructional Design.

While there is no research specifically comparing chatGPT-generated epitomes based on Elaboration Theory with content expert-generated epitomes, recent studies have explored the potential of chatGPT in medical education, suggesting that it might have a useful role to play in this field.

The study reveals that chatGPT-generated epitomes were around 90% accurate to the content expert-generated epitomes and in some cases even surpassed them in terms of detail and accuracy. The use of chatGPT for generating educational content based on Elaboration Theory was reported to be time-efficient, support content expert creativity and reflection, and supported evidence-based instructional design for a content expert.

Despite the promising results, the study also highlights some limitations and challenges of using AI-generated content, such as potential inaccuracies, oversimplification, and ethical concerns related to privacy, data usage, and potential biases. These challenges call for further research and exploration into the effective integration of AI into instructional design.

Overall, this case study provides valuable insights into the potential of chatGPT to support instructional design based on Elaboration Theory and other instructional design frameworks. It also highlights the need for further research to fully explore the potential of AI in education while addressing the associated limitations and ethical considerations.

Keywords:

Generative AI, ChatGPT, Elaboration theory, instructional design, medical education, case study.