Psychometric Properties of a Scale Designed to Assess Satisfaction and Continued Intention to Utilize E-learning Among Nutrition Sciences Students

Leandro Oliveira, Eduardo Luís Cardoso

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

E-learning uses information and communication technologies to facilitate access to online teaching resources and encourage collaborative environments among students. However, the abrupt transition to e-learning is a challenge in clinical health courses, like nutrition sciences courses, which rely on hands-on training. Several studies indicate that e-learning can be more effective than traditional teaching methods. However, studies and validated tools for evaluating satisfaction and intention to use e-learning are scarce. The main objective of this study is to translate and validate a questionnaire designed to assess the factors that affect the satisfaction and continued intention of higher education students, with a special focus on Nutrition Sciences students, in the e-learning context. An online questionnaire was created and applied between February 2021 and October 2023, distributed during classes. The questionnaire included questions about sociodemographic characteristics and assessed expectations, attitudes, intentions, and the use of distance learning, using a 5-point Likert scale. The analysis showed that the questionnaire is reliable, with a high Cronbach’s alpha coefficient (α = 0.970) and valid, with good adequacy in exploratory factor analysis (KMO = 0.931). Furthermore, analysis of the scree plot suggested a one-factor solution, where a single factor explained 63.9% of the total variance. This confirms the effectiveness of the questionnaire to assess students’ satisfaction and continued intention to use e-learning.

Original languageEnglish
Title of host publicationWorldCIST (4)
EditorsÁlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Maranda
PublisherSpringer Science and Business Media Deutschland GmbH
Pages71-79
Number of pages9
ISBN (Print)9783031602238
DOIs
Publication statusPublished - 1 Jan 2024
Event12th World Conference on Information Systems and Technologies, WorldCIST 2024 - Lodz, Poland
Duration: 26 Mar 202428 Mar 2024

Publication series

NameLecture Notes in Networks and Systems
Volume988 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference12th World Conference on Information Systems and Technologies, WorldCIST 2024
Country/TerritoryPoland
CityLodz
Period26/03/2428/03/24

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Funding

This work was co-financed by the European Union-ERASMUS + Program. Through the SMARTI project (617489-EPP-1-2020-1-DE-EPPKA2-CBHE-JP) and Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia (FCT) through projects DOI 10.54499/UIDP/04567/2020 and DOI 10.54499/UIDB/04567/2020 to CBIOS.

FundersFunder number
Fundação para a Ciência e a Tecnologia
European Union-ERASMUS +617489-EPP-1-2020-1-DE-EPPKA2-CBHE-JP

Keywords

  • E-learning
  • Higher Education
  • Psychometric Properties
  • Scale
  • Students

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