Abstract

Learning Analysis (LA) trends show that KPIs used for better understanding and investigation of the learning process are diverse and often depend on the goals of the analyses. One of the most crucial questions for the implementation of LA is the availability of data. Currently, each education organization uses some type of Learning Management System (LMS), thus gathering, storing, and managing different data about the learning process. The initial point of this research is the fact that the time framework of the learning process is predefined, and that learning process analyses must be done according to this limit because each learning activity takes time to be performed. This research conducts an overview of the LMS and proposes KPI clusters for measuring and analyzing learning processes regarding (i) learning engagement, (ii) learning community building and management, and (iii) knowledge no-boundaries. It is structured into three parts. Based on the research methods used (a literature review, desk research, and experiments), (1) a review of LMS is conducted, then (2) the learning analysis is presented, (3) KPI analyses are done, and, finally, a new KPI model for LA is proposed, which includes 22 KPIs grouped into 4 Clusters. In the conclusion, the advantages of the model are explained along with the scientific contribution of the research. The next research steps, regarding the implementation of the model in the real classroom, are presented at the end.

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