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REID (Research and Evaluation in Education)

Keywords

external factors, actual use, digital literacy, e-learning

Document Type

Article

Abstract

The future of education is increasingly worrying due to the impact of the Covid-19 pandemic since the end of 2019. Restrictions on community activities and campus closures have forced university administrators to use e-learning. On the other hand, online learning has encountered many obstacles. Barriers to the use of e-learning are thought to stem from external problems (online facilities and infrastructure) or educators and students (internal factors), such as lack of literacy, low absorption, level of understanding, and other non-technical factors. This study aims to examine further the influence of external factors and digital literacy and the moderating effect of digital literacy with external factors (System Design, User Friendly, Devices, Internet, Electricity) on the actual use of campus e-learning at Islamic universities. This study found that: External factor variables have a significant positive effect on the actual use of e-learning. The digital literacy variable has a significant positive effect on the actual use of e-learning. The digital literacy variable weakens the influence of external factors on the actual use of e-learning at Islamic universities in Indonesia.

Page Range

132-144

Issue

2

Volume

7

Digital Object Identifier (DOI)

10.21831/reid.v7i2.44794

Source

https://journal.uny.ac.id/index.php/reid/article/view/44794

References

Cresswel, J. W. (2012). Educational Research, Planning, Conducting, and Evaluating Quantitative and Qualitative Research (P. A. Smith, Ed.; FOURTH). Pearson Education.

Daniel, H. (2021). The Rise of E-Learning in COVID-19 Pandemic in Private University: Challenges and Opportunities. IJORER : International Journal of Recent Educational Research, 2(1), 86-95. https://doi.org/10.46245/ijorer.v2i1.77

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982

Garson, D. (2016). Partial Least Squares: Regression & Structural Equation Models. Statistical Publishing Associates 274 Glenn Drive.

Hair, Jr. J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling. In Long Range Planning (Vol. 46, Issues 1-2). SAGE Publications Ltd. https://doi.org/10.1016/j.lrp.2013.01.002

Islam, M. R. (2018). Sample size and its role in Central Limit Theorem (CLT). International Journal of Physics & Mathematics, 1(1), 37-47. https://doi.org/10.31295/ijpm.v1n1.42

Jan, S. (2017). Investigating the relationship between students' digital literacy and their attitude towards using ICT. International Journal of Educational Technology (ISSN 2476-0730), 5(2), 26-34. http://educationaltechnology.net/ijet/

Kaeophanuek, S., Na-Songkhla, J., & Nilsook, P. (2019). A learning process model to enhance digital literacy using critical inquiry through digital storytelling (CIDST). International Journal of Emerging Technologies in Learning, 14(3), 22-37. https://doi.org/10.3991/ijet.v14i03.8326

Liu, Z. J., Tretyakova, N., Fedorov, V., & Kharakhordina, M. (2020). Digital literacy and digital didactics as the basis for new learning models development. International Journal of Emerging Technologies in Learning, 15(14), 4-18. https://doi.org/10.3991/ijet.v15i14.14669

Lohmoller, J.-B., Berlin, S.-V., & Gmbh, H. (1989). Latent Variable Path Modeling with Partial Least Squares. Springer-Verlag.

Nikou, S., & Aavakare, M. (2021). An assessment of the interplay between literacy and digital Technology in Higher Education. Education and Information Technologies, 26(4), 3893-3915. https://doi.org/10.1007/s10639-021-10451-0

Noh, Y. (2016). A study on the effect of digital literacy on information use behavior. Journal of Librarianship and Information Science, 49(1), 26-56. https://doi.org/10.1177/0961000615624527

Putro, T. S., & Mawanti, W. (2020). Geomedia Majalah Ilmiah dan Informasi Kegeografian (Vol. 18, Issue 2). https://journal.uny.ac.id/index.php/geomedia/index

UNESCO. (2001, August 3). Education: From disruption to recovery. https://en.unesco.org/covid19/educationresponse

Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926

Vinzi, V. E., Chin, W. W., & Henseler, J. (2010). Handbook of Partial Least Squares: Concepts, Methods and Applications (J. E. Gentle, W. K. Härdle, & Y. Mori, Eds.). Springer. http://www.springer.com/series/7286

Widana, I. Wayan. (2020). The Effect of Digital Literacy on the Ability of Teachers to Develop HOTS-based Assessment. Journal of Physics: Conference Series, 1503(1). https://doi.org/10.1088/1742-6596/1503/1/012045

World Health Organization. (2021, August 4). WHO Coronavirus (COVID-19) Dashboard. https://covid19.who.int/

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