Developing of Kru-Coding Chatbot using ChatGPT to Enhance Learning in Basic Programming

Conference proceedings article


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Author listทศพล อุทธจันทร์, ภาสพิชญ์ ชูใจ มิเชล, ภาคภูมิ จันทร์ศรี

Publication year2024

Start page776

End page787

Number of pages12

LanguagesThai (TH)


Abstract

This research utilizes the AI chatbot Kru Coding to assist in teaching basic programming, acting as an assistant teacher. The sample group consists of 27 second-year secondary school students studying technology-oriented subjects in the second semester of the 2023 academic year. Students use conventional teaching materials and leverage the chatbot Kru Coding during lessons to address the following issues: 1. Correcting programming problems or bugs as per the teacher's instructions. 2. Finding additional information to enhance knowledge and understanding. Pre - and post-learning tests were conducted to measure learning
efficiency, and a satisfaction survey was administered to students. The research results indicate that the Kru Coding chatbot has an effectiveness rating of 82.22/80.70, meeting the specified criterion of 80/80. This resulted in post-learning performance with an average score of 8.07 and satisfaction scores as follows: Software usage satisfaction averaged at 4.26, knowledge satisfaction at 4.36, and learning management satisfaction at 4.05, all of which were rated highly satisfactory


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Last updated on 2025-27-02 at 00:00