Evidence map›Paper›PMID 34901403›Full record

ArticleProceedings of the Association for Information Science and Technology. Association for Information Science and Technology2021

Investigating Learner's Online Learning Behavioural Changes during the COVID-19 Pandemic.

Kok Khiang Lim, Chei Sian Lee

Abstract read
In one paragraph

Article in Proceedings of the Association for Information Science and Technology. Association for Information Science and Technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kok Khiang LimNanyang Technological University Singapore.
Chei Sian LeeNanyang Technological University Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to understand the pandemic's impact on online learning behaviour based on learners' comments collected from online video tutorials hosted on YouTube. The topic modelling approach is employed to uncover the changes in topic prevalence during the pre- and post-pandemic timeframe to infer learning behaviour. Ten topics were uncovered, and each exhibited a varying degree of changes over time. Overall, the study identified two learning behavioural changes, (1) learners were more active in learning relevant skillsets through sharing their experiences; and (2) learners had altered their help-seeking behaviour to aid in their learning.

Indexed as

Online learningpandemictopic modellinguser‐generated contentYouTube

Identifiers

PMID34901403
PMCPMC8646524

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.