Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates

摘要

The adaption of online courses according to the user knowledge is not new, but its application is limited. The major problem is the lack of missing open-source technology to personalize online courses with individual learning paths on a large scale. In this paper, we introduce our open-source framework that allows us to generate adaptive online courses in Moodle. We focus on language learning as an example implementation. Courses are generated based on a knowledge base and several XML templates that allow the generation of interactive tasks using H5P. The novelty of our approach is the application and combination of existing Moodle libraries to generate individual online courses, although they were not designed for that purpose. It is the first working example that supports individual learning paths on a large scale in Moodle. Besides, we provide technical details on how to overcome limiting problems by using Moodle as an LMS.