Evidence map›Paper›PMID 37009060›Full record

ReviewInternational journal of STEM education2023

A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling.

Mikyung Shin, Min Wook Ok, Sam Choo, Gahangir Hossain, Diane P Bryant, Eunyoung Kang

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PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of STEM education, 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. Review
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

6 authors.

Mikyung ShinDepartment of Education, West Texas A&M University, Amarillo Center 332C, 720 S. Tyler, Amarillo, TX 79101 USA.ORCID 0000-0001-7907-9193
Min Wook OkDaegu University, Gyeongsan, South Korea.ORCID 0000-0001-8547-9003
Sam ChooUniversity of Minnesota, Minneapolis, USA.
Gahangir HossainUniversity of North Texas, Denton, USA.
Diane P BryantThe Meadows Center for Preventing Educational Risk, The University of Texas at Austin, Austin, USA.
Eunyoung KangJoongbu University, Goyang, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to conduct a content analysis of research on technology use for teaching mathematics to students with disabilities. We applied word networks and structural topic modeling of 488 studies published from 1980 to 2021. Results showed that the words "computer" and "computer-assisted instruction" had the highest degree of centrality in the 1980s and 1990s, and "learning disability" was another central word in the 2000s and 2010s. The associated word probability for 15 topics also represented technology use within different instructional practices, tools, and students with either high- or low-incidence disabilities. A piecewise linear regression with knots in 1990, 2000, and 2010 demonstrated decreasing trends for the topics of

Indexed as

MathematicsResearch trendsStudents with disabilitiesTechnologyTopic modelingWord networks

Identifiers

PMID37009060
PMCPMC10039814

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read27
table measurements read2
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.