Evidence map›Paper›PMID 42386922›Full record

ArticleScientific reports2026

Digital literacy is associated with college students' learning engagement via sequential mediation of self-efficacy and learning adaptability.

Yang Feng, Weiguo Kang, Yanhong Shao

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Yang FengFaculty of Education, Qufu Normal University, Qufu, China.
Weiguo KangSchool of Teacher Education, Heze University, No. 2269 Daxue Road, Heze, 274015, Shandong, China. kyckwg@163.com.
Yanhong ShaoXiangshui Teacher Development Center, No. 98 Huanghai Road, Yancheng, 224600, Jiangsu, China. syh6979774@126.com.

Funding

Specialized Project on Digital Learning and Reading Instruction Research 2025-WYYD-001
6 · The paper itself

Abstract

In the digital age, digital literacy has become an increasingly important factor associated with learning engagement. However, it is unclear how digital literacy relates to college students' learning engagement via self-efficacy and learning adaptability. This study used a cross-sectional survey design and recruited 1500 college students via convenience sampling. A structural equation model was established to explore the mechanisms by which digital literacy is associated with learning engagement, focusing on the mediating effects of self-efficacy and learning adaptability. SPSS 24.0 and AMOS 24.0 were used to analyze the data. The results showed that: (1) Digital literacy was significantly and positively associated with learning engagement; (2) Self-efficacy partially mediated the relationship between digital literacy and learning engagement; (3) Learning adaptability partially mediated the relationship between digital literacy and learning engagement; (4) Self-efficacy and learning adaptability played a chain-mediating role between digital literacy and learning engagement collectively. This study explored the key factors related to college students' learning engagement in the digital age and provides references for improving academic performance. Meanwhile, it also provides references for educational administrators and practitioners to develop effective teaching strategies.

Indexed as

Computer LiteracyLearningSelf EfficacyStudentsAdolescentAdultCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultCollege studentsDigital literacyLearning adaptabilityLearning engagementSelf-efficacy

Identifiers

PMID42386922
PMCPMC13534460

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.