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The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring
Journal article   Open access   Peer reviewed

The influence of technology acceptance, academic self-efficacy, and gender on academic achievement through online tutoring

J. Hanham, C.B. Lee and T. Teo
Computers & Education, Vol.172, Article 104252
2021
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Abstract

The study focused on variables which were posited to capture undergraduate students' experiences with a large-scale online tutoring service, and relationships with the students’ perceptions of their academic capabilities and academic performance. A theoretical model incorporating variables from research on Technology Acceptance and Social Cognitive Theory was developed and tested. A total of 365 undergraduate students from a university located in Sydney, Australia, completed an online survey. Data were analysed using confirmatory factor analysis (CFA) and structural equation modeling (SEM), and multi-group analyses (MGA). The measurement model demonstrated configural, metric and scalar invariance. There were differences between males and females regarding latent means, with females scoring higher than males for facilitating conditions. The regression paths were consistent across males and females (i.e., invariant) in the full structural model. Facilitating conditions was positively associated with the perceived usefulness of technology, which in turn was positively associated with academic self-efficacy. Surprisingly, perceived ease of use did not have a statistically significant association with perceived usefulness. Academic self-efficacy was positively associated with academic achievement. Implications, particularly for online tutoring service providers, are discussed.

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#4 Quality Education

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
6 Social Sciences
6.3 Management
6.3.368 Technology Acceptance Model
Web Of Science research areas
Computer Science, Interdisciplinary Applications
Education & Educational Research
ESI research areas
Computer Science
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