Educational programs are increasingly using multimedia tools, interactive technology, and applications in recent years. Monitoring the learning efficacy of students, as supervise from interactions with learning objects provided as well as interactions with other users. This affords a need to collect, analyze, and track the different types of data produced. Before the educational data analysis process can begin, data must first be stored on a Learning Record Store (LRS) system within the Learning Management Systems (LMS), which can receive and process web requests. The use of an effective e-learning framework that provides services for the monitoring and analysis of educational data is a crucial move. There are different e-learning standards for e-Learning content interoperability such as Sharable Content Object Reference Model (SCORM) which is a standard format to allow the package to work in different LMSs. Another example is IEEE Standard for Learning Technology standards family: the IEEE 1484.11.1, which suggests a complicated data model structure to monitor student experiences with education material.

The research has been supported by European Union's Horizon 2020 research and innovation program under grant agreement No 856533, project ARETE.