A Data Collection Experience with Canvas LMS as a Learning Platform

نویسندگان

  • Aarón Rubio Fernández
  • Fernando Santamaría González
  • Pedro J. Muñoz Merino
  • Carlos Delgado Kloos
چکیده

This paper studies the academic information that can be obtained from the “Canvas LMS”, an e-learning platform. The main objective is to obtain academic information that allows teachers to improve the learning process of the students. To obtain academic information, two types of low level data, raw data, are analysed: the messages written by the students and the questionnaires filled by the students. In this way, through this analysis different indicators are obtained, which provide academic information to the lecturers. The same indicators can be obtained in other scenarios or e-learning platforms, since the low level data used can be obtained on most of these platforms. Besides this, different applications of the indicators will be analysed, with the aim of specifying the academic information that a lecturer can obtain by these indicators.

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تاریخ انتشار 2017