Copy the page URI to the clipboard
Kouvara, Theodora; Aristeidou, Maria; Herodotou, Christothea and Verykios, Vassilios
(2024).
DOI: https://doi.org/10.5281/zenodo.1165324
Abstract
In this report, we present the collaborative efforts between the Open University (OU) in the UK and Hellenic Open University (HOU) in Greece, aimed at designing a predictive learning analytics dashboard with recommendation services for online and distance students. This initiative seeks to offer students personalized feedback throughout their academic journey. Our immediate objective is to brainstorm innovative ideas and develop new methodologies that advance beyond the current state-of-the-art recommendation techniques, including content-based, collaborative filtering and hybrid approaches. We aim to achieve this by integrating as much relevant data as possible into the process. In the long term, our collaborative goal is to create a sophisticated system that meets the needs of both tutors and students at our universities. This system will process data on student performance and behavior in real-time and will be integrated into existing Learning Management Systems to facilitate an Adaptive Intelligent Tutoring System.