Learning Analytics Applied to Curriculum Analysis

نویسندگان

  • Swapna GOTTIPATI
  • Venky SHANKARARAMAN
  • Swapna Gottipati
  • Venky Shankararaman
چکیده

Learning analytics deals with the development of methods that harness educational data sets to support the learning process. One of the major subtasks of learning analytics is to determine the efficacy of a curriculum. In this paper contribution, the authors propose a generic curriculum analytics framework that can act as a useful guide for understanding the key dimensions that have to be considered when applying analytics in curriculum analysis and evaluation. The paper then describes a case study where the curriculum analytics framework has been applied to understand the gaps and strengths of an existing IS curriculum.

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تاریخ انتشار 2017