Digital learning management systems (LMS) arerevolutionizing learning in many areas, including computerscience education (CSE). They are capable of tracking learners’characteristics, such as prior knowledge, and other learninghabits, and may offer more personalized learning or guidanceon useful learning practices. LMSs collect large amounts ofdata. Proper processing of such collected data can offer valuableinsights about the learning process, support for higher qualityeducation, insights on why some students drop out of courses,and so on. In this paper, we briefly review and discuss the globaltrends in digital learning and learning lnalytics (LA), specificallyfrom the viewpoint of two LMS systems and related LA research,one in Finland and one in Sweden. In this paper, we address thecontext-, and course-specific nature of LA by developing the ideaof cross-country and cross-systems learning analytics. Second, weconsider our research especially from an educational perspectiveto identify the most beneficial practices for teachers and students.Third, we discuss, based on findings from our projects, futureavenues for research.
QC 20231106