Proposal of a multivariate analysis model to evaluate the learning outcomes of students in higher education

Mónica Hernández-Campos, Antonio Gonzalez-Torres, Francico José García-Peñalvo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Accreditation agencies request evidence of the graduates learning outcomes during quality processes. Universities have to provide exhaustive empirical proof of their achievement and development through the academic training program, which is a significant challenge because it implies a substantial improvement and change of the educational model and evaluation method. There are still theoretical gaps to explain from an empirical perspective which elements of the university curriculum are associated with academic programs learning outcomes. The lack of empirical evidence prevents us from identifying which factors are associated with an efficient achievement of learning results in higher education institutions to implement improvement actions based on valid and objective data. In this context, learning analytics is a valuable tool that can support collecting, measuring, analyzing, and reporting data to understand the different factors involved in the educational process and their influence on learning. The primary purpose of this study is to answer how to define and validate a multivariate metamodel based on the factors involved in learning outcomes and academic performance results. In this article, we present the objectives and their phases, activities, procedures, and instruments to achieve the goal of the study. We expect to validate a metamodel on a large-scale population with different academic engineering programs at the Costa Rica Institute of Technology.

Original languageEnglish
Title of host publicationProceedings - TEEM 2021
Subtitle of host publication9th International Conference on Technological Ecosystems for Enhancing Multiculturality
EditorsMarc Alier, David Fonseca
PublisherAssociation for Computing Machinery
Pages689-694
Number of pages6
ISBN (Electronic)9781450390668
DOIs
StatePublished - 26 Oct 2021
Event9th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2021 - Barcelona, Spain
Duration: 27 Oct 202129 Oct 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2021
Country/TerritorySpain
CityBarcelona
Period27/10/2129/10/21

Keywords

  • accreditation
  • learning analytics
  • learning factors
  • Learning outcomes
  • metamodel

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