Evidence map›Paper›PMID 35971418›Full record

ArticleQuality & quantity2022

Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning.

Abdul Hafaz Ngah, Nurul Izni Kamalrulzaman, Mohamad Firdaus Halimi Mohamad, Rosyati Abdul Rashid, Nor Omaima Harun, Nur Asma Ariffin, Noor Azuan Abu Osman

Abstract read
In one paragraph

Article in Quality & quantity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Abdul Hafaz NgahFaculty of Business, Economics & Social Development, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Co-Authors, Malaysia.ORCID 0000-0002-9928-1708
Nurul Izni KamalrulzamanCentre for Academic Management & Quality, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
Mohamad Firdaus Halimi MohamadFaculty of Business, Economics & Social Development, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Co-Authors, Malaysia.
Rosyati Abdul RashidCentre for Foundation and Continuing Education, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
Nor Omaima HarunData and Digital Development Centre, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
Nur Asma AriffinCentre for Academic Management & Quality, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
Noor Azuan Abu OsmanFaculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Without proper preparation by higher institutions, the COVID-19 pandemic has forced the world to rely on online learning. Even students of social science and science are looking for different knowledge and skills. Currently, both groups rely on the same method to gather knowledge for future undertakings. Given the uncertainty regarding the resolution of COVID-19, which has driven students to continue using online learning, the current study aims to identify the factors of willingness to continue online learning among social science and pure science students by extending the use of expectation-confirmation theory. Applying a purposive sampling method, 2,215 questionnaires were collected among undergraduate students from Universiti Malaysia Terengganu (UMT) using an online survey. Current study found that expectation and confirmation positively affect satisfaction. Attitude, satisfaction and readiness were found to have a positive relationship with willingness to continue online learning. Meanwhile, self-efficacy was found unsupported hypothesis for the direct effect. For multigroup analysis, readiness was found to have a significant difference between students of social science and pure science. The findings of this research enrich the literature about online learning, especially in the COVID-19 setting. Moreover, this work is useful for higher education institutions seeking to design a better strategy that allows students to return to campus.

Indexed as

Expectation-confirmation theoryMulti-group analysisOnline learning during COVID-19ScienceSocial science

Identifiers

PMID35971418
PMCPMC9365218

What OpenQuestion holds

Textmetadata
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.