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Examining The Factors Influencing University Students’ Adoption Intention Towards Technology-Enhanced Learning

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  • Khairunnisa Abdul Aziz
  • Mohamad Shahrizal Sabri

Abstract

Past years, online education has become increasingly popular. Student now need to adapt to modern teaching-learning strategies and other services that use a digital or technological format. Hence the objective of this study is to investigate the influence of the compatibility, subjective norm, perceived ease of use and perceived usefulness factor on students’ adoption intention to Technology- Enhanced Learning. Past studies had found compatibility, subjective norms, perceived ease of use and perceived usefulness of TEL would positively influence students’ adoption intention to TEL. A quantitative method was used in this study and data was collected from 284 students in malaysia’s university via online survey. PLS-SEM was used to analyze four (4) research hypotheses. The result found that compatibility and perceived usefulness showed significant influence on adoption intention to TEL by using LearningZone Moodle (LZM), whereas subjective norm and perceived ease of use did not have any significant influence on adoption intention to TEL by using LZM. Theoretically, this study provides empirical evidence on the factors that influence adoption intention to TEL. From a practical perspective, the study provides better understanding for education sector providers on the factor that they should focus to further expand the use of the TEL by using platform LZM.

Suggested Citation

  • Khairunnisa Abdul Aziz & Mohamad Shahrizal Sabri, 2024. "Examining The Factors Influencing University Students’ Adoption Intention Towards Technology-Enhanced Learning," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 6(1), pages 341-358.
    • Handle: RePEc:das:njaigs:v:6:y:2024:i:1:p:341-358:id:259
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    References listed on IDEAS

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    1. Marko Sarstedt & Jun-Hwa Cheah, 2019. "Partial least squares structural equation modeling using SmartPLS: a software review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 196-202, September.
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