A Demonstration of ALAS-KA: A Learning Analytics Tool for the Khan Academy Platform

نویسندگان

  • José A. Ruipérez Valiente
  • Pedro J. Muñoz Merino
  • Carlos Delgado Kloos
چکیده

Instructors and students have problems monitoring the learning process from low level interactions in on-line courses because it is hard to make sense of raw data. In this paper we present a demonstration of the Add-on of the Learning Analytics Support in the Khan Academy platform (ALAS-KA). Our tool processes the raw data in order to transform it into useful information that can be used by the students and instructors through visualizations. ALAS-KA is an interactive tool that allows teachers and students to select the provided information divided by courses and type of information. The demonstration is illustrated with different examples based on real experiments data.

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تاریخ انتشار 2014