Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

This study examines how future mathematics teachers perceive the importance of AI-related and digital competencies and their self-reported performance in these areas. The study was conducted in a Mathematics Education course in Spain with 198 Primary Education students. Using an Importance–Performance Map Analysis (IPMA) framework, the questionnaire assessed six dimensions: AI awareness, AI usage, AI evaluation, AI ethics, AI trust, and digital skills, with items adapted from previous studies. The results showed that students assigned higher importance to all competencies than the level of performance they reported. AI evaluation, AI trust, and digital skills received the highest importance scores, whereas AI awareness obtained the lowest scores. The IPMA identified AI usage as the main priority for improvement, as students considered it relevant but reported comparatively lower performance. Differences by academic year and self-reported AI knowledge level suggest that students’ stage of training and perceived AI knowledge influenced their perceptions. These findings reveal a gap between the importance future teachers assign to AI-related competencies and their perceived level of development. The study highlights the need for more specific and pedagogically grounded AI training in Mathematics Education and offers practical implications for teacher education curricula in response to the demands of 21st-century classrooms.

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Publication Details

Journal
Education Sciences
Published
2026-06-28
DOI
https://doi.org/10.3390/educsci16071024
Primary Topic
Digital literacy in education
Type
article
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0.00
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article

Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

Stephan Schlögl, Salvador Angosto Sánchez, Pilar Gómez‐Rey, Ari Alamäki
Education Sciences
Digital literacy in education
article

Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

Stephan Schlögl, Salvador Angosto Sánchez, Pilar Gómez‐Rey, Ari Alamäki
article en

Abstract

This study examines how future mathematics teachers perceive the importance of AI-related and digital competencies and their self-reported performance in these areas. The study was conducted in a Mathematics Education course in Spain with 198 Primary Education students. Using an Importance–Performance Map Analysis (IPMA) framework, the questionnaire assessed six dimensions: AI awareness, AI usage, AI evaluation, AI ethics, AI trust, and digital skills, with items adapted from previous studies. The results showed that students assigned higher importance to all competencies than the level of performance they reported. AI evaluation, AI trust, and digital skills received the highest importance scores, whereas AI awareness obtained the lowest scores. The IPMA identified AI usage as the main priority for improvement, as students considered it relevant but reported comparatively lower performance. Differences by academic year and self-reported AI knowledge level suggest that students’ stage of training and perceived AI knowledge influenced their perceptions. These findings reveal a gap between the importance future teachers assign to AI-related competencies and their perceived level of development. The study highlights the need for more specific and pedagogically grounded AI training in Mathematics Education and offers practical implications for teacher education curricula in response to the demands of 21st-century classrooms.

Education SciencesVol. 16(7)
Haaga-Helia University of Applied Sciences (FI), Management Center Innsbruck (AT), Universidad de Sevilla (ES), Universidad de Murcia (ES)
Quality Education
Openalex Percentile: Top 3%
Digital literacy in education
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