TY - GEN
T1 - Psychometric properties of a scale designed to assess satisfaction and continued intention to utilize e-learning among nutrition sciences students
AU - Oliveira, Leandro
AU - Cardoso, Eduardo Luís
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/5/13
Y1 - 2024/5/13
N2 - 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.
AB - 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.
KW - E-learning
KW - Higher education
KW - Psychometric properties
KW - Scale
KW - Students
UR - http://www.scopus.com/inward/record.url?scp=85194227547&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-60224-5_8
DO - 10.1007/978-3-031-60224-5_8
M3 - Conference contribution
AN - SCOPUS:85194227547
SN - 9783031602238
VL - 4
T3 - Lecture Notes in Networks and Systems
SP - 71
EP - 79
BT - Good practices and new perspectives in information systems and technologies
A2 - Rocha, Álvaro
A2 - Adeli, Hojjat
A2 - Dzemyda, Gintautas
A2 - Moreira, Fernando
A2 - Poniszewska-Maranda, Aneta
PB - Springer Science and Business Media Deutschland GmbH
T2 - 12th World Conference on Information Systems and Technologies, WorldCIST 2024
Y2 - 26 March 2024 through 28 March 2024
ER -