WIP: Study on a Data-Driven Adaptive Learning Support System Design for Individualized Optimal Learning
Takahito Horinouchi, Shin Wakitani, Tomohiro Hayashida, Takuya Kinoshita, Kento Tsutsumi · 2024
In current Japanese education, realizing individualized and optimal learning through the effective use of ICT terminals has been required. Adaptive learning support systems are expected to help solve the above issues. This study proposes an adaptive learning support system that maximizes the learner's characteristics such as the ability and motivation to learn using an extremum-seeking control method. The proposed system is validated by using a mathematical learner model that includes the forgetting factor of human short-term memory. The simulation result shows that the system maximized the learner's characteristics by tuning the assist ratio.