Exploration of Home Economics Education Lesson Plan Design Process Using Generative AI

The purpose of this study is to design lessons for home economics education using generative AI, to examine the potential benefits of generative AI, and to explore how it will affect the efficiency of teachers’ lesson design processes. To this end, we first analyzed the literature related to lesson design using generative AI, and designed lessons centered on six topics of home economics education using generative AI: food, clothing, housing, consumer life, communication, and sex and relationships. The lessons designed by generative AI were modified through evaluations and additional questions from 18 prospective teachers, and the potential applicability and limitations of lesson design using generative AI were explored. Designing lessons using generative AI has the advantage of reducing the time required for lesson planning and specifying educational materials that are appropriate for students’ developmental stages. In addition, we confirmed that lesson design using generative AI supports creative and structured lessons through repeated prompts and feedback. However, there were issues such as ethical issues, repetition of lesson design, and verification of information accuracy. In particular, since the professional knowledge of lesson designers is essential for continuous questioning, methods to support this should be sought. Through this study, it was confirmed that generative AI sufficiently plays the role of an appropriate assistant in lesson design, but in order to achieve educational goals, it is essential to strengthen the professional knowledge and lesson design capacity of lesson designers who can critically evaluate and apply lessons designed by generative AI.