Enhancing learning opportunities for CS: Experiences from two learning systems

Abstract

Online educational technologies (ET) collect a lot of data. Analysis of that data is called learning analytics (LA) or educational data mining (EDM). In this paper we present and combine research results from development and research work with two ET systems, one in University of Novi Sad, Serbia and another in University of Turku, Finland. We combine the most important findings from our research: improvements to learning outcomes, beneficial features such as automatic assessment, continuous feedback and personalised learning paths. We also discuss ongoing research on eye-tracking, sensors, and educational metrics. In addition, challenges in pedagogical reforms are considered.