Evidence map›Paper›PMID 40294078›Full record

ArticlePloS one2025

Needs satisfaction and Online Self-Regulated Learning among chinese undergraduates.

Xiaohua Zhou, Ching-Sing Chai, Morris Siu-Yung Jong, Huiya Feng

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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.

Xiaohua ZhouTeaching and Learning Centre, Lingnan University, Hong Kong, Hong Kong SAR.ORCID 0000-0002-6567-3543
Ching-Sing ChaiDepartment of Curriculum and Instruction, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR.
Morris Siu-Yung JongDepartment of Curriculum and Instruction, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR.ORCID 0000-0001-9186-0484
Huiya FengAcademic Affair Office, Guangzhou City University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing popularity of online courses has highlighted the importance of online self-regulated learning (OSRL). However, its use among undergraduates remains challenging. Based on self-determination theory, this study examined whether satisfying three basic psychological needs (i.e., autonomy, competence, and relatedness) could foster the engagement of Chinese undergraduates (N = 381) in OSRL. Data were collected from an online questionnaire, which included a revised Online Self-Regulated Learning Questionnaire, a scale to measure need satisfaction, and demographic information items. Descriptive analyses, confirmatory factor analyses and structural equation modeling were conducted. The results revealed that overall need satisfaction was positively associated with the use of OSRL strategies. Specifically, satisfying autonomy was positively associated with the use of resource management strategies. Feeling competent was positively associated with most OSRL strategies, except for time management and help seeking. A sense of relatedness was positively associated with self-evaluation, task strategies, and help seeking. These findings underscore the unique role of each need in promoting OSRL. Therefore, designers and instructors of online courses should cater to the specific needs of undergraduates to enhance their use of targeted OSRL strategy(ies).

Indexed as

Education, DistanceLearningPersonal SatisfactionSelf-ControlStudentsAdolescentAdultChinaEast Asian PeopleFemaleHumansMalePersonal AutonomySurveys and QuestionnairesUniversitiesYoung Adult

Identifiers

PMID40294078
PMCPMC12036844

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.