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Education and Information Technologies

Erschienen in:

01.02.2019

Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning

verfasst von: Anastasia Revythi, Nikolaos Tselios

Erschienen in: Education and Information Technologies | Ausgabe 4/2019

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Abstract

This study examines the acceptance of technology and behavioral intention to use learning management systems (LMS). In specific, the aim of the research reported in this paper is to examine whether students ultimately accept LMSs such as eClass and the impact of behavioral intention on their decision to use them. An extended version of technology acceptance model has been proposed and used by employing one of the most reliable measures of perceived eased of use, the System Usability Scale. 345 university students participated in the study. The data analysis was based on partial least squares method. The majority of the research hypotheses were confirmed. In particular, social norm, system access and self-efficacy were found to significantly affect behavioral intention to use. As a result, it is suggested that e-learning developers and stakeholders should focus on these factors to increase acceptance and effectiveness of learning management systems.

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Titel: Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning
verfasst von: Anastasia Revythi
Nikolaos Tselios
Publikationsdatum: 01.02.2019
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 4/2019
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-019-09869-4

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