Evidence map›Paper›PMID 40883578›Full record

ArticleEuropean journal of pediatrics2025

Development of the generative artificial intelligence awareness scale for secondary school students in Türkiye.

Remziye Semerci Şahin, Özkan Özbay, Sevil Çınar Özbay, Selma Durmuş Sarıkahya

Abstract readValidation Study
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In one paragraph

Article in European journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Remziye Semerci ŞahinChild and Disease Nursing Department, Nursing Faculty, Koç University, Istanbul, Türkiye.ORCID http://orcid.org/0000-0003-1999-9179
Özkan ÖzbayDistance Education Application and Research Center, Artvin Çoruh University, Artvin, Türkiye.ORCID http://orcid.org/0000-0001-7754-2594
Sevil Çınar ÖzbayFaculty of Health Sciences, Artvin Çoruh University, Artvin, Türkiye. cinarsevil87@gmail.com.ORCID http://orcid.org/0000-0002-9281-1614
Selma Durmuş SarıkahyaDepartment of Public Health Nursing, Faculty of Health Sciences, Artvin Çoruh University, Artvin, Türkiye.ORCID http://orcid.org/0000-0002-0318-3098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread adoption of generative artificial intelligence (AI) in education and daily life necessitates a deeper understanding of students' awareness and attitudes. However, there is a lack of appropriate and psychometrically validated tools to assess these constructs reliably. This study aimed to examine the validity and reliability of a newly developed scale measuring secondary school students' awareness of generative artificial intelligence in the Turkish context. This methodological study employed a cross-sectional, descriptive, and correlational design. The research was conducted with 444 secondary school students aged 14-18. Data were collected using a Demographic Information Form and the Generative Artificial Intelligence Awareness Scale. The study followed a three-stage process in line with the STROBE checklist: (1) item development, (2) expert evaluation for content validity, and (3) construct validity and reliability testing. Construct validity was assessed using Exploratory and Confirmatory Factor Analyses. Reliability was examined through Cronbach's alpha, corrected item-total correlations, and split-half reliability analysis. EFA revealed a three-factor structure: Basic Knowledge of Generative Artificial Intelligence, Positive Attitudes Toward Generative Artificial Intelligence, and Concerns About the Impacts of Generative Artificial Intelligence, explaining 54.29% of the total variance. CFA supported the model, yielding acceptable fit indices (χ

Indexed as

Artificial IntelligenceAwarenessStudentsAdolescentCross-Sectional StudiesFemaleGenerative Artificial IntelligenceHumansMalePsychometricsReproducibility of ResultsSchoolsSurveys and QuestionnairesTurkeyAwarenessGenerative artificial intelligenceReliabilityScale developmentSecondary school studentsValidity

Identifiers

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.