Evidence map›Paper›PMID 37123924›Full record

ReviewHeliyon2023

Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor.

Hao Huang, Lihjen Jew, Dandan Qi

Abstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  10. Impact of Practical Online Lessons on Chinese Medical Students' Perception of Radiation Oncology.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  11. 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.

Hao HuangInternational College, Krirk University, No. 3, Soi Ramindra 1 Anusawari Subdistrict, Bang Khen District, Bangkok, Thailand.
Lihjen JewInternational College, Krirk University, No. 3, Soi Ramindra 1 Anusawari Subdistrict, Bang Khen District, Bangkok, Thailand.
Dandan QiChongqing Business Vocational College, 81 Daxuechengzhong Road, Shapingba District, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive Open Online Course (MOOC) plays an important role in education equity and lifelong learning without entrance barriers, time limitations, and geographical constraints. However, MOOC is criticized by researchers for its high dropout rate. The purpose of this paper is to summarize the engagement patterns of MOOC learners and factors affecting dropouts in higher education in the scholarly literature, published during the period of 2008 to 2021. Twenty-one available published studies in seven major academic databases had been reviewed and presented in the systematic literature review following the PRISMA methodology. The results showed that the engagement patterns of MOOC learners could be grouped to Start, Mid, and End according to the stage of MOOC learning. The factors affecting MOOC dropout could be grouped into categories of Course Attributes, Social Status, Cognitive Ability, Emotional Factor and Learning Behavior.

Indexed as

Dropout factorEngagement patternHigher educationMOOC

Identifiers

PMID37123924
PMCPMC10133660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.