Evidence map›Paper›PMID 42212032›Full record

ArticleFrontiers in psychology2026

The predictive effects of AI anxiety on 21st-century skills and lifelong learning tendencies: a study of pre-service teachers in Northern Cyprus.

Çiğdem Cantaş, Cevat Celep, Özgür Batur

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Article in Frontiers in psychology, 2026. 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
–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

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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.

  1. Article
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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

3 authors.

Çiğdem CantaşDepartment of Educational Administration, Supervision and Planning, Faculty of Education, Girne American University, Kyrenia, Cyprus.
Cevat CelepDepartment of Primary School Teaching, Faculty of Education, Girne American University, Kyrenia, Cyprus.
Özgür BaturDepartment of Educational Sciences, Final International University, Kyrenia, Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The introduction of artificial intelligence (AI) into education presents a significant psychological challenge for students, potentially eliciting specific anxieties that may influence the development of 21st-century competencies and lifelong learning tendencies. This study examines the predictive effects of AI anxiety dimensions (Learning AI, Job Replacement, Sociotechnical Blindness, and AI Configuration) on 21st-century skills and lifelong learning tendencies among pre-service teachers in Northern Cyprus. Methods: Using a quantitative design, data were collected from 396 pre-service teachers enrolled in education faculties. Validated scales for AI Anxiety, Multidimensional 21st-century Skills, and Lifelong Learning were administered. Data were analyzed using multiple regression analyses to determine the predictive power of specific AI anxiety dimensions on distinct skill domains. Results: While overall AI anxiety did not predict 21st-century skills, specific dimensions showed selective predictive power. Learning AI anxiety was a significant negative predictor of Critical Thinking, Problem-Solving, and Career Awareness. Job Replacement anxiety was a significant negative predictor of Social Responsibility and Leadership. Conversely, Sociotechnical Blindness emerged as a significant positive predictor of Social Responsibility and Leadership. The AI Configuration dimension and lifelong learning tendencies were not significantly predicted by these anxieties. Discussion: The findings indicate that AI anxiety is multidimensional and affects specific 21st-century skill domains selectively. Because lifelong learning orientations remained stable, educational interventions should move beyond broad AI literacy and instead target specific psychological concerns, such as learning-related anxiety and fears regarding job replacement, to better support future educators.

Indexed as

21st-century skillsAI anxietyeducational psychologyhigher educationlifelong learningpre-service teachers

Identifiers

PMID42212032
PMCPMC13212468

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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.