Adaptive learning-based content management tool for online education platforms

Abstract

The ways of accessing information are highly developed today. Online education platforms are widely used directly or indirectly in the education of students. Instructors create their course content on these platforms and teach their courses to their students. With the developing internet technologies, the variety of visual, audio and textual course content is also increasing. However, students' learning tendencies differ while studying these course contents. While some of the students can learn more easily from course content consisting only of texts, others can learn more easily from course content supported by audio-visual materials. Identifying these learning differences among students has become important today. In order to enrich learning activities, it would be useful to create content in accordance with the learning tendencies of each student. In this study, we developed an adaptive learning-based help tool for instructors to create course content. This tool analyzes the learning styles of the students and provides recommendations to the instructor for creating the course content. Thus, all the course content prepared by the instructor will be selected and created according to the learning tendencies of the students. It will contribute to the improvement of learning activities.