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Education and Information Technologies

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23.06.2019

Using the HOT-fit model to predict the determinants of E-learning readiness in higher education: a developing Country’s perspective

verfasst von: Marva Mirabolghasemi, Sahar Hosseinikhah Choshaly, Noorminshah A. Iahad

Erschienen in: Education and Information Technologies | Ausgabe 6/2019

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Abstract

E-learning readiness has been initiated in higher education institutions (HEI) as an attempt to improve institutions’ service delivery. Meeting and managing the expectations of students using e-learning systems to facilitate teaching and learning activities is a prominent way to make HEI competitive. The purpose of this study is to investigate the impact of human, organizational, and technological factors on students’ e-learning readiness. This study was conducted by using a survey method in a private university in the north region of Iran with a total number of 153 respondents. Survey data were analyzed using the partial least squares (PLS) method while Smart PLS was used to test the hypotheses and to validate the proposed model. The results indicated that computer self-efficacy, management support, relative advantage, compatibility, and complexity are significant factors that influence students’ e-learning readiness. The findings provide a basis for assessing the determinants of e-learning readiness in developing countries.

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Titel: Using the HOT-fit model to predict the determinants of E-learning readiness in higher education: a developing Country’s perspective
verfasst von: Marva Mirabolghasemi
Sahar Hosseinikhah Choshaly
Noorminshah A. Iahad
Publikationsdatum: 23.06.2019
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 6/2019
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-019-09945-9

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