Optimization of Personalized Content Providing Function for Adult Learners with Diverse Backgrounds

Abstract

The skills required in relation to the same topic can differ depending on learner’s attributes such as job and preference. For example, when training on research data management for staffs in universities and research institutes, the skills needed differ depending on the learner’s jobs, such as researchers, research administrators, and IT technologists. In the past research, we developed a Moodle plug-in that provides learning contents and quizzes optimized for each learner’s job and preference dynamically. In this research, we further enhance this plug-in to register skills retrieved from the skill repository and support learners selecting learning contents based on their preference.