Optimizing Full Day School with AI: Smart Solutions in Selecting Learning Models for High Schools
Abstract
The implementation of Full Day School (FDS) in high schools presents challenges in selecting effective learning models that meet students' needs. With advances in Artificial Intelligence (AI), this technology offers an intelligent solution to optimize the choice of appropriate learning models. This study aims to explore AI's role in selecting suitable learning models for FDS in high schools in Bukittinggi. The research uses AI-based data analysis to identify criteria for model selection, considering factors such as students' learning styles, subject matter, and available resources. The findings suggest that AI can enhance learning effectiveness by providing personalized and efficient models that balance academic and psychological needs. In conclusion, AI can improve educational quality and foster an adaptive, innovative learning environment for FDS programs. This study recommends incorporating educational AI in curriculum planning for future development in Bukittinggi.