Student workload estimation to pass a statistics course in Economics and Business Administration
DOI:
https://doi.org/10.7203/relieve.13.2.4206Keywords:
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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