KOGI: A Seamless Integration of ChatGPT into Jupyter Environments for Programming Education
Kimio Kuramitsu, Yui Obara, Miyu Sato, Momoka Obara
Abstract
The impact of ChatGPT has brought both anxiety and anticipation to schools and universities. Exploring a positive method to improve programming skills with ChatGPT is a new and pressing challenge. In pursuit of this goal, we have developed KOGI, a learning support system that integrates ChatGPT into the Jupyter environment. This paper demonstrates how KOGI enables students to receive timely advice from ChatGPT in response to errors and other questions they encounter.
Topics & Concepts
Anticipation (artificial intelligence)Computer scienceAnxietyMathematics educationPsychologyArtificial intelligencePsychiatryOnline Learning and AnalyticsTeaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning