Evidence map›Paper›PMID 40369000›Full record

ArticleScientific reports2025

Teacher adoption of digital education management systems through combined information systems and social cognitive frameworks during post-COVID era.

Kai Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Kai ZhangInformatization Office, Fudan University, Shanghai, 200433, China. zhangkai@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic accelerated adoption of digital education systems, presenting opportunities but also challenges for integration into higher education. This study developed an integrated model combining the DeLone and McLean information systems framework and social cognitive theory to explain university instructors' post-COVID digital education management system (DEMS) adoption intentions. Surveying 352 lecturers across disciplines in China, results showed computer self-efficacy and personal innovativeness positively predicted performance expectations about the DEMS, driving usage intentions. Content and service quality also directly increased intentions. However, system quality had no effect on performance expectations. Findings highlight the joint influence of motivational factors, self-efficacy, and system qualities on DEMS acceptance. This timely application of an integrated IT adoption model provides theoretical and practical insights into leveraging digital transformations in higher education. Strategies to boost adoption include communicating performance benefits, enhancing support services, and building IT self-efficacy through training. As digital platforms persist post-pandemic, this research makes an important contribution by elucidating critical determinants of user acceptance.

Indexed as

COVID-19Education, DistanceInformation SystemsAdultChinaFemaleHumansMalePandemicsSARS-CoV-2Self EfficacySurveys and QuestionnairesUniversitiesDEMSE-learningPersonal innovativenessSelf-efficacy

Identifiers

PMID40369000
PMCPMC12078796

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.