Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic
The low readiness of university students to implement e-learning during the COVID-19 pandemic is a worrying issue. Lack of motivation and satisfaction in learning coupled with low technological skills are widely revealed as contributing factors. This study examines the role of technological skills,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022024483 |
| _version_ | 1811257274300104704 |
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| author | Wagiran Wagiran Suharjana Suharjana Muhammad Nurtanto Farid Mutohhari |
| author_facet | Wagiran Wagiran Suharjana Suharjana Muhammad Nurtanto Farid Mutohhari |
| author_sort | Wagiran Wagiran |
| collection | DOAJ |
| description | The low readiness of university students to implement e-learning during the COVID-19 pandemic is a worrying issue. Lack of motivation and satisfaction in learning coupled with low technological skills are widely revealed as contributing factors. This study examines the role of technological skills, equipment capabilities, user satisfaction, and motivation on e-learning readiness. Furthermore, the study also examines the significance of the mediating role of motivation. The study adopted an ex-post-facto design involving 1052 students as participants. Data is collected from a questionnaire form integrated into the university's e-monev system. SEM-PLS is a data analysis tool with a confidence interval of 97.5%. After being analysed, technology skills, equipment capabilities, user satisfaction, and motivation are proven to play a role in e-learning readiness. Likewise, motivation also succeeded in proving its mediating role in this study. The study's results further clarify that efforts to improve e-learning readiness require digital technology capabilities, equipment capabilities, user satisfaction, and motivation, so vocational education must strengthen these aspects. |
| first_indexed | 2024-04-12T17:53:54Z |
| format | Article |
| id | doaj.art-83114fa7722949a1b884070a1327ea70 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-12T17:53:54Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-83114fa7722949a1b884070a1327ea702022-12-22T03:22:25ZengElsevierHeliyon2405-84402022-10-01810e11160Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemicWagiran Wagiran0Suharjana Suharjana1Muhammad Nurtanto2Farid Mutohhari3Department of Mechanical Engineering Education, Yogyakarta State University, Indonesia; Corresponding author.Department of Sports Science, Yogyakarta State University, IndonesiaDepartment of Mechanical Engineering Education, Universitas Sultan Ageng Tirtayasa, IndonesiaDepartment of Vocational and Technology Education, Yogyakarta State University, IndonesiaThe low readiness of university students to implement e-learning during the COVID-19 pandemic is a worrying issue. Lack of motivation and satisfaction in learning coupled with low technological skills are widely revealed as contributing factors. This study examines the role of technological skills, equipment capabilities, user satisfaction, and motivation on e-learning readiness. Furthermore, the study also examines the significance of the mediating role of motivation. The study adopted an ex-post-facto design involving 1052 students as participants. Data is collected from a questionnaire form integrated into the university's e-monev system. SEM-PLS is a data analysis tool with a confidence interval of 97.5%. After being analysed, technology skills, equipment capabilities, user satisfaction, and motivation are proven to play a role in e-learning readiness. Likewise, motivation also succeeded in proving its mediating role in this study. The study's results further clarify that efforts to improve e-learning readiness require digital technology capabilities, equipment capabilities, user satisfaction, and motivation, so vocational education must strengthen these aspects.http://www.sciencedirect.com/science/article/pii/S2405844022024483Equipment capabilityHigher educationTechnological skillsUser satisfactionMotivatione-learning readiness |
| spellingShingle | Wagiran Wagiran Suharjana Suharjana Muhammad Nurtanto Farid Mutohhari Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic Heliyon Equipment capability Higher education Technological skills User satisfaction Motivation e-learning readiness |
| title | Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic |
| title_full | Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic |
| title_fullStr | Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic |
| title_full_unstemmed | Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic |
| title_short | Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic |
| title_sort | determining the e learning readiness of higher education students a study during the covid 19 pandemic |
| topic | Equipment capability Higher education Technological skills User satisfaction Motivation e-learning readiness |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022024483 |
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