Assessing academic workload in computing engineering programs

Assessing academic workload is a critical component of the educational process, given its importance in the health and performance of students. Several universities worldwide have evaluated their programs using academic credit systems as a reference by contrasting the expected and real academic workload through strategies based on surveys, focus groups, questionnaires, and logbooks. In this work, we perform a preliminary study by extracting information for curricular updating of our computing engineering programs based on academic workload. The related method is divided into four stages: (1) the designing of an informatic tool to manage the class-to-class activities; (2) the recording of the academic workload expected by academics; (3) the application of surveys to record the workload declared by students; (4) and the formulation of recommendations based on a mixed analysis that combines qualitative and quantitative elements. This preliminary study can be extended by analysing other educational contexts.

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Publication Details

Journal
Revista Educación en Ingeniería
Published
2025-04-01
DOI
https://doi.org/10.26507/rei.v20n39.1297
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

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Assessing academic workload in computing engineering programs

Revista Educación en Ingeniería
Geochemistry and Geologic Mapping
article

Assessing academic workload in computing engineering programs

article en

Abstract

Assessing academic workload is a critical component of the educational process, given its importance in the health and performance of students. Several universities worldwide have evaluated their programs using academic credit systems as a reference by contrasting the expected and real academic workload through strategies based on surveys, focus groups, questionnaires, and logbooks. In this work, we perform a preliminary study by extracting information for curricular updating of our computing engineering programs based on academic workload. The related method is divided into four stages: (1) the designing of an informatic tool to manage the class-to-class activities; (2) the recording of the academic workload expected by academics; (3) the application of surveys to record the workload declared by students; (4) and the formulation of recommendations based on a mixed analysis that combines qualitative and quantitative elements. This preliminary study can be extended by analysing other educational contexts.

Revista Educación en IngenieríaVol. 20(39)
Universidad de Santiago de Chile (CL), University of Sussex (GB), University of O'Higgins (CL)
Universidad de Santiago de Chile
Quality Education
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
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Assessing academic workload in computing engineering programs · Revista Educación en Ingeniería (2025) | TGRS Research Map | TGRS