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

*Corresponding author for this work

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

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 publicationGood practices and new perspectives in information systems and technologies
Subtitle of host publicationWorldCIST 2024
EditorsÁlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Aneta Poniszewska-Maranda
PublisherSpringer Science and Business Media Deutschland GmbH
Pages71-79
Number of pages9
Volume4
Edition1
ISBN (Electronic)9783031602245
ISBN (Print)9783031602238
DOIs
Publication statusPublished - 13 May 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

Keywords

  • E-learning
  • Higher education
  • Psychometric properties
  • Scale
  • Students

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