September 10, 2025Journal of Applied Research in Higher Education

Distance learning among Algerian students: validating the technology acceptance model (TAM) through comparative study between partial least square and covariance-based structural equation modeling

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Authors

IMIdrissi MokhtarUniversité Oran 1 Ahmed Ben Bella YSYoucef SouarUniversité de Saida Dr.Moulay Tahar BRBenziane RouchamUniversity of Bechar

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Implication

Quantitative study confirms perceived usefulness influences behavioral intention in distance learning, suggesting PLS-SEM offers better predictive power than CB-SEM.

Key Points

Perceived usefulness significantly impacts behavioral intention to adopt distance learning platforms.
The TAM constructs explained 64.4% variance using PLS-SEM and 71.8% using CB-SEM.
Analysis revealed superior predictive performance of PLS-SEM over CB-SEM in this context.
Results highlight the importance of students' positive perception of distance learning’s usefulness.

Cite This Study

Mokhtar et al. (2025) studied this question.

synapsesocial.com/papers/68c23bd7b210217d647867ee https://doi.org/10.1108/jarhe-11-2024-0636

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Implication

Quantitative study confirms perceived usefulness influences behavioral intention in distance learning, suggesting PLS-SEM offers better predictive power than CB-SEM.

Distance learning among Algerian students: validating the technology acceptance model (TAM) through comparative study between partial least square and covariance-based structural equation modeling

Discussion

Member takes

Implication

Key Points

Cite This Study

Distance learning among Algerian students: validating the technology acceptance model (TAM) through comparative study between partial least square and covariance-based structural equation modeling

Discussion

Member takes

Implication

Key Points

Cite This Study

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