Evidence map›Paper›PMID 33406144›Full record

ArticlePloS one2021

An approach to the permeation mechanism of learning transfer and teaching strategy in physical education based on complex network.

Xin Feng, Jiapei Li, Shuhui Hu, Yi Zhao, Long Chen, Nan Wang

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xin FengSchool of Economics and Management, Yanshan University, Qinhuangdao, China.
Jiapei LiThe School of Management, Hebei GEO University, Shijiazhuang, China.ORCID 0000-0002-8720-6022
Shuhui HuThe School of Management, Hebei GEO University, Shijiazhuang, China.
Yi ZhaoThe School of Economics, FuDan University, Shanghai, China.ORCID 0000-0001-5216-5315
Long ChenThe College of Physical Education & Health, East China Normal University, Shanghai, China.
Nan WangThe School of Economics and Management, Hebei University of Technology, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning transfer is widely present in the learning of all kinds of knowledge, skills and social norms, and is one of the important phenomena of learning, and the reasonable use of transfer is conducive to improving the learning effect of students and the quality of teaching. This study starts from the data of college students' academic performance, takes real students' academic performance as a sample, measures the relevance of courses through students' academic performance, constructs various networks of learning transfer, and studies the topology and evolution of the networks to clarify the essential laws of learning transfer and put forward suggestions for the optimization of teaching strategies. Finally, using complex network analysis to analyze and mine the data on college students' academic performance, the article quantifies the overall structure of the courses and their hidden connections in a global and dynamic manner, and discovers the inheritance relationship between the courses, the clustering characteristics and the basic pattern of learning transfer. It also provides a platform for exploring the differences in the course structure of different majors and the learning transfer of male and female students.

Indexed as

Physical Education and TrainingTransfer, PsychologyFemaleHumansModels, TheoreticalSportsStudents

Identifiers

PMID33406144
PMCPMC7787532

What OpenQuestion holds

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LicenceCC BY
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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.