UPP: An Investigation into the Effectiveness of ChatGPT-Generated Lesson Plans in Vocational Education

Abstract

With the growing integration of artificial intelligence (AI) in education, understanding its pedagogical implications has become an imperative. Unpacking Pedagogical Potential (UPP) is a study that addresses this need by exploring the efficacy of artificially generated lesson plans in the context of a modern vocational programme. The research aims to evaluate the quality and comprehensibility of these AI-driven lesson plans and teachers’ experiences. Associated benefits and challenges will also be identified. Data will be collected through a grounded theory approach, including interviews, focus group discussions, and performance evaluations. The objective is to present a holistic view of the pedagogical potential of AI in lesson planning, ultimately guiding future enhancements for AI applications in educational contexts. In the first phase of the study, two lesson plans were generated on the challenging topics of interfaces and abstraction in object-oriented programming. The lesson plans were generated using OpenAI’s GPT-4 through a one-shot prompt detailing the template to be used. Following generation, the lessons plans were peer-reviewed and evaluated using Lesson Plan Analysis Protocol (LPAP). Analysis of the score and a critical narrative of generation process was performed. Results show that even though lesson plans were generated by ChatGPT, the lesson plans require extensive human intervention to make the activities viable for use in the classroom. On the other hand, using them to structure the information presented is a viable way to ensure that the teacher follows a pre-established structure in generating a lesson plan. This can serve to therefore improve the quality of lesson plans generated by experienced teachers based on a standard metric.

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