개별화 맞춤형 학습을 지원하는 AI 챗봇 기반 플랫폼 분석

초록

The purpose of this study is to understand a chatbot system-based platform that supports individualized learning, evaluate and review its quality, and suggest implications for teaching and learning that effectively support individualized learning when using chatbots. To this end, we select five platforms(Solmi Chat, Speak AI Tutor, AI Helpy, Kiwi Chat, and Classting Zelo) and analyze how four elements(Teaching, Humanity, Affect, and Accessibility) for measuring the quality of chatbots are reflected from the perspective of individualized learning. The results of this study show that the chatbots are designed so that learners can learn by asking questions and find answers on their own based on the elements of Teaching, Humanity, Affect, and Accessibility. This study is significant because it specifies the understanding and evaluation of AI chatbots to support individualized and customized learning based on a chatbot quality evaluation model.

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