Evidence map›Paper›PMID 36846491›Full record

ArticleEducation and information technologies2023

Investigating online learners' knowledge structure patterns by concept maps: A clustering analysis approach.

Xiuling He, Jing Fang, Hercy N H Cheng, Qibin Men, Yangyang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Education and information technologies, 2023. 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

5 authors.

Xiuling HeNational Engineering Laboratory For Education Big Data, Central China Normal University, Wuhan City, Hubei Province China.ORCID 0000-0001-7880-8710
Jing FangNational Engineering Research Center for E-learning, Central China Normal University, Wuhan City, Hubei Province China.ORCID 0000-0002-9244-5896
Hercy N H ChengCenter for General Education, Taipei Medical University, Taipei City, Taiwan.ORCID 0000-0003-1899-3779
Qibin MenNational Engineering Laboratory For Education Big Data, Central China Normal University, Wuhan City, Hubei Province China.ORCID 0000-0003-0124-4683
Yangyang LiNational Engineering Research Center for E-learning, Central China Normal University, Wuhan City, Hubei Province China.ORCID 0000-0001-5361-5058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students' learning levels. The study used concept maps and clustering analysis to investigate online learners' knowledge structures in a flipped classroom's online learning environment. Concept maps (

Indexed as

Clustering analysisConcept mapFlipped classroomKnowledge structureOnline learning

Identifiers

PMID36846491
PMCPMC9939863

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.