Master Thesis MSTR-2021-98

BibliographyTepeli, Mehmet Ali: Moodle as Adaptive Learning Platform—Existing Solutions and Open Challenges.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 98 (2021).
71 pages, english.

With the widespread COVID-19 pandemic, e-learning platforms gained importance. Almost every educational institution moved its learning materials to e-learning platforms in the pandemic phase. In the scope of KIB3 (Künstliche Intelligenz in die berufliche Bildung bringen) project, companies in Baden-Württemberg area in Germany want to educate their vocational specialists through an e-learning platform. We built an adaptive learning platform with interactive contents since the well-known e-learning platforms do not include adaptivity and interactivity. We constructed our adaptive learning platform in Moodle which is a prevalent e-learning platform. The adaptive and interactive contents are prepared and tested with learners. With the learners, we conducted a survey study, and in the survey, we asked about their learning experiences in an adaptive-based e-learning platform.

Department(s)University of Stuttgart, Institute of Software Technology, Empirical Software Engineering
Superviser(s)Graziotin, Dr. Daniel; Habib, Kasra
Entry dateApril 26, 2022
   Publ. Computer Science