Student Activity Analytics in an e-Learning Platfom: Anticipating Potential Failing Students

The evolution of learning technology and tools changed the way students access information and build their knowledge. Registering the interaction of students with these tools generates a large amount of data that, once critically analysed, can provide important clues about the students’ learning progress. Nevertheless research has still to be conducted to fully understand how (and if) the students’ interaction with the learning technologies relates to their learning success. In parallel, new analytical tools must be developed to allow teachers to fully exploit the information embedded in this data, in a friendly but flexible way. This article is a contribution to this effort and presents a study where the use of a learning management system (LMS) in a specific semester-long course in an Engineering school produced data that was analysed and correlated to the students’ success. Results indicate that some correlation exists between the effective use of some of the tools integrated in the LMS and student success which points the way to buld specific applications to provide teachers with indicators of students in danger of failing.

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