Development and Application of Dietary Teaching and Learning Plan Using Artificial Intelligence for Middle School Home Economics

The purpose of this study was to design a lesson utilizing artificial intelligence in the dietary area of home economics and to investigate the effectiveness of the lesson by implementing it. To achieve the purpose of the study, practical problem-based lessons were selected by analyzing the achievement standards of the home economics curriculum, and strategies using AI were designed and put into the process of practical problem-based lessons to develop a teaching and learning curriculum. This was implemented on middle school students to assess the impact on the three systems of action and to evaluate strengths and areas for improvement. The learning topic is set as “What dietary choices should we make to lead a healthy and self-directed life?” and developed a teaching and learning plan, learning activities, and rubrics for four sessions utilizing generative AI services such as ChatGPT, WRTN, Askup, and typecast. The developed teaching and learning plan was implemented to 170 first-grade students middle school in Gwangju. A paired sample t-test was conducted on the pre- and post-test of the three systems of action, and it was found that there was a significant difference between the pre- and post-test (t=-2.86, p<.05). Students gave positive feedback on the AI-assisted dietary class, as it provided diverse and accessible information for analyzing dietary problems and identifying causes and solutions, and enabled efficient completion of learning tasks.