Evidence map›Paper›PMID 40290544›Full record

ArticleFrontiers in psychology2025

Exploring the determinants on continuance participation of college students toward blended learning: the stimulating role of course characteristics and instructor support.

Maoyan She, Yiyang Xu, Zhigang Li, Die Hu

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

4 authors.

Maoyan SheCollege of Management Science, Chengdu University of Technology, Chengdu, Sichuan, China.
Yiyang XuCollege of Management Science, Chengdu University of Technology, Chengdu, Sichuan, China.
Zhigang LiCollege of Management Science, Chengdu University of Technology, Chengdu, Sichuan, China.
Die HuBusiness School of Sichuan University, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blended learning (BL) has become an important learning method in the high education with the rapid advancement of "Internet + Education," however, college students face notable challenges, such as high dropout rates, low participation and low persistence, which largely reduce the learning effect of BL. Therefore, it is necessary to deeply analyze the question: "What factors will influence college students' continuance behavior in blended learning (CBBL)?" Methods: Based on the stimulus-organism-response (SOR) framework and social cognitive theory, this study constructs an integrated model of " Results: The empirical results indicating that, (1) this integrated model explains 62.85% of the variance in college students' CBBL, and LM, SEF, and LET emerge as the key determinants influencing college students' CBBL. (2) BCC positively affects LM and LET but has no significant on SEF, and it promotes college students' CBBL through LM and LET rather than SEF. (3) ITS exerts a significant influence on LM, SEF, and LET, with the most pronounced impact on LET. Moreover, ITS significantly facilitates college students' CBBL via LM, SEF, and LET. Originality/value: This study theoretically contributes to literature on BL and extends the application scope of SOR framework. Also, it reveals the antecedents of college students' CBBL in the BL environment, which is crucial for guiding their continuance learning and promoting the sustainable development of BL education.

Indexed as

college studentscontinuance behavior of blended learningcourse characteristicsinstructor supportSOR framework

Identifiers

PMID40290544
PMCPMC12021881

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.