Web-Based Recommendation System for Higher Education: SIDDATA

Abstract

The SIDDATA data-driven digital study assistant offers students various services that help them identify and achieve their personal study goals. The software’s features and infrastructure have evolved to become a universal platform for interactive self-regulated learning and digital study planning throughout three annual software development cycle iterations. The software is fully integrated into an existing learning management system (Stud.IP) and has been tested by more than 3000 students from three German universities during the last three years. This paper presents the SIDDATA software architecture, its design philosophy, and its modular, feature-centered application logic. Developed during a third-party funded research project with limited temporal scope, the web-based software is publicly available under an MIT license. We conclude with application opportunities for researchers, developers, educators, and higher education institutions.