Developing a Generative AI based chatbot prototype to support the writing of music appreciation: focusing on Feltman and Anderson's theories

The purpose of this study is to develop a generative AI chatbot prototype based on Feltman and Anderson’s critical theory to support writing music appreciation, and to explore its educational potential. To this end, a design and development research method was applied. First, prior literature on music criticism theory and AI-based educational tools was analyzed, and a needs analysis was conducted in the context of high school music classes to derive the question rules and design principles of the chatbot. Afterwards, a question structure was designed according to the critique stage, and a chatbot prototype that induces writing of appreciation in stages using generative AI was developed. The completed prototype was reviewed for its educational validity and practicality through a validation procedure targeting four music education experts, and in addition, a usability evaluation targeting 10 music education graduate students was conducted to examine its actual usability and learner responses. As a result, the design principle of the chatbot was positively evaluated in terms of validity and usefulness, and high validity was secured in all areas of chatbot implementation. and in particular, its potential as an effective support tool for improving learners’ autonomous writing and appreciation skills was confirmed. This study has theoretical and practical significance in that it presents a specific practical model for utilizing generative AI in music appreciation education.