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Record W2593398142 · doi:10.5539/ies.v10n3p116

Computer Tablet Games’ Effect on Young Children’s Self-Concept

2017· article· en· W2593398142 on OpenAlexvenueno aff
Ruba Abdel Matloub Moawad

Bibliographic record

VenueInternational Education Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
FundersKing Saud University
KeywordsCuriosityPsychologyTest (biology)Developmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Playing in general has a positive effect on child development; yet with the advancement of technology, the way children play has changed, and the effects of their play have changed as well. Some studies have shown an overall negative effect of electronic games, while others have reported the opposite. This study aims to investigate the effects of tablet-based electronic games on the child’s self-concept. Twenty-six children between the ages of 4 and 6 years from low-income backgrounds participated. They were divided into two groups; in the experimental group, children were given a tablet device with 10 educational electronic games on it, and the mothers were instructed to let them play the games for less than three hours a day in a normal home situation. The control group was not given any electronic devices. A pre- and post-pictorial measure of self-concept was used. The overall results showed no gains in self-concept for the experimental group and no differences between the groups, except in the domain of curiosity, where the control group children experienced a pre- to post-test increase.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.376
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2017
Admission routes1
Has abstractyes

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