Evidence map›Paper›PMID 42609535›Full record

ArticleFrontiers in artificial intelligence2026

Utilization of Artificial Intelligence to support administrative decision-making in special education institutions in Saudi Arabia: perceptions of principals, supervisors, and teachers.

Abdulaziz Alsuhaymi, Mahmoud Mohamed Eltantawy

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2026. 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.

Abdulaziz AlsuhaymiDepartment of Educational Management, College of Education, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Mahmoud Mohamed EltantawyDepartment of Special Education, College of Education, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial Intelligence (AI) is increasingly used in educational administration to automate routine tasks, support data-informed decision-making, and improve institutional efficiency. This study examined the perceptions of principals, supervisors, and teachers regarding the utilization of AI to support administrative decision-making in special education institutions and investigated whether these perceptions differed according to professional role, years of experience, and AI-related training. The sample comprised 173 participants working in public schools providing special education services in Riyadh, Saudi Arabia. A descriptive cross-sectional design was employed, and participants were recruited using non-probability convenience sampling. Data were collected using a 23-item questionnaire and analyzed using descriptive statistics and non-parametric tests. The overall questionnaire score reflected a moderate level of perceptions toward AI utilization (M = 3.22). Participants reported high agreement regarding the importance and usefulness of AI in administrative processes (M = 3.96). In contrast, the ethical considerations dimension yielded a low score (M = 2.38), indicating limited perceived ethical, legal, and professional acceptability of AI utilization and notable reservations regarding the safeguards and conditions governing its responsible use. Perceptions of AI-supported administrative decision-making were moderate (M = 3.07), suggesting that AI was viewed primarily as a supportive resource rather than as a substitute for professional judgment. No statistically significant differences were found according to professional role,

Indexed as

administrative decision-makingArtificial IntelligenceperceptionsprincipalsSaudi Arabiaspecial education institutionssupervisorsteachers

Identifiers

PMID42609535
PMCPMC13478143

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.