Student workload estimation to pass a statistics course in Economics and Business Administration

Authors

  • María Dolores Jano
  • Salvador Ortiz Serrano Universidad Autónoma de Madrid

DOI:

https://doi.org/10.7203/relieve.13.2.4206

Keywords:

Data collection, Data Analysis, Active learning, ECTS, Workload.

Abstract

The convergence process in Higher Education in Europe implies a radical change in the teacher’s practice. One of the fundamental questions in the harmonization process stems from the way credits are allocated by the ECTS (European Credit Transfer System). This article analyzes diverse methodologies for the estimation of student workload, with results regarding the time students need to successfully complete the Descriptive Statistics course in Economics and Business Administration. The obtained estimated time is slightly below the 25-30 hours of credit that are usually established as a reference.

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Published

2014-10-06

How to Cite

Jano, M. D., & Ortiz Serrano, S. (2014). Student workload estimation to pass a statistics course in Economics and Business Administration. RELIEVE – Electronic Journal of Educational Research and Evaluation, 13(2). https://doi.org/10.7203/relieve.13.2.4206

Issue

Section

Research Articles