Evidence map›Paper›PMID 36276754›Full record

ArticleHeliyon2022

Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic.

Wagiran Wagiran, Suharjana Suharjana, Muhammad Nurtanto, Farid Mutohhari

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wagiran WagiranDepartment of Mechanical Engineering Education, Yogyakarta State University, Indonesia.
Suharjana SuharjanaDepartment of Sports Science, Yogyakarta State University, Indonesia.
Muhammad NurtantoDepartment of Mechanical Engineering Education, Universitas Sultan Ageng Tirtayasa, Indonesia.
Farid MutohhariDepartment of Vocational and Technology Education, Yogyakarta State University, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

e-learning readinessEquipment capabilityHigher educationMotivationTechnological skillsUser satisfaction

Identifiers

PMID36276754
PMCPMC9579142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.