Evidence map›Paper›PMID 37662998›Full record

ArticleMethodsX2023

Effect of COGNI-MACHINE computational thinking training on executive functions in children aged 9 to 11: Protocol of a cluster randomized controlled trial.

Carolina Robledo Castro, Luz Helena Rodríguez Rodríguez, Luis Fernando Ossa Castillo

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Carolina Robledo CastroUniversidad del Tolima, Street 42 #1-02, Ibagué 730006299, Colombia.
Luz Helena Rodríguez RodríguezUniversidad del Tolima, Street 42 #1-02, Ibagué 730006299, Colombia.
Luis Fernando Ossa CastilloUniversidad Autónoma de Manizales, Old Railway Station, Manizales 170001, Colombia.
University of Tolima · COUniversity of Caldas · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We designed a controlled trial protocol that seeks to contribute to cognitive science by studying the effect of thought training on children's executive functions. The study design is a cluster randomized controlled trial, with intra-subject and inter-subject evaluation, with two parallel groups: an experimental group and a TAU control group. With three measures, pre-test, post-test, and follow-up after three months. The participants will be children aged 9 to 11. The allocation will be randomized by groups and not individually. The sample will be a minimum of 44 participants. The primary measures will be neuropsychological tests to assess executive functions. Secondary measures will be a computational thinking test, neuropsychological tests to assess metacognition and attention, and an acceptability scale. The experimental group will participate in the COGNI-MACHINE computational thinking training designed by the first author. The training frequency will be twice a week in 60 min sessions for 12 weeks. The TAU control group will receive computer science classes as usual during the same time as the experimental group. The evaluators taking the measurements will be blinded to the assignment. The investigators in charge of the intervention will be blinded to the results of the evaluations.

Indexed as

CodingCognitive SciencesComputational thinking trainingEducational roboticsExecutive functions

Identifiers

PMID37662998
PMCPMC10470278
OpenAlexW4385852374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.