Practical Use of AI-Based Learning Recommendations in Higher Education

A Learning Experience Platform (LXP) is an extension of a Learning Management System (LMS) with the emphasis on personalized learning support and learner motivation. In this paper extensions for the well established LMS Moodle are proposed, that include, beyond others, AI supported learning recommendations and user based feedback mechanisms to transform Moodle to Moodle LXP. The architecture of this Moodle LXP provides plug-ins for three types of recommendations, i.e. content-based and two collaborative recommendations. Furthermore, a separate module was developed that is responsible for data storage and calculation of recommended learning resources. Various metadata such as description, number of clicks of learning resources, rating, and feedback of the resources are used for the calculation. The extensions have been integrated into several lectures for three semesters. The system operates effectively and the students use the plug-ins for learning. To learn more about the quality of the recommendations, a mechanism for evaluating the results of the content-based recommendation using feedback from the lecturers was developed.