Scale development and validation of knowledge-attitudes-practices (KAP) on artificial intelligence (AI) productivity tools in education

Despite the growing presence of artificial intelligence (AI) productivity tools in education, there remains a lack of standardized instruments to assess teachers' readiness and engagement with such technologies. Addressing this gap, the present study developed and validated a comprehensive scale to measure teachers' knowledge, attitudes, and practices (KAP) related to AI productivity tools. Guided by the KAP framework, the study employed a sequential exploratory design. Initial items were generated through literature review and expert input, followed by content validation by AI and education specialists. The scale was pilot-tested and refined using data from a stratified convenience sample of 300 pre-service teachers in a state university in Central Visayas, Philippines. Exploratory and confirmatory factor analyses supported an 11-factor structure across the KAP domains. The finalized 58-item scale demonstrated strong psychometric properties, including high internal consistency and construct validity. By providing a valid and reliable tool, the study contributes to AI readiness assessment and intervention designs that promote responsible AI integration and use.

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Publication Details

Journal
STEM Education
Published
2025-01-01
DOI
https://doi.org/10.3934/steme.2025045
Primary Topic
Online Learning and Analytics
Type
article
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article

Scale development and validation of knowledge-attitudes-practices (KAP) on artificial intelligence (AI) productivity tools in education

Isidro Max V. Alejandro, Charess E. Goles, C. Fernandez, Janet A. Mananay et al.
STEM Education
Online Learning and Analytics
article

Scale development and validation of knowledge-attitudes-practices (KAP) on artificial intelligence (AI) productivity tools in education

Isidro Max V. Alejandro, Charess E. Goles, C. Fernandez, Janet A. Mananay, Joje Mar P. Sanchez, Gino G. Sumalinog
article en

Abstract

Despite the growing presence of artificial intelligence (AI) productivity tools in education, there remains a lack of standardized instruments to assess teachers' readiness and engagement with such technologies. Addressing this gap, the present study developed and validated a comprehensive scale to measure teachers' knowledge, attitudes, and practices (KAP) related to AI productivity tools. Guided by the KAP framework, the study employed a sequential exploratory design. Initial items were generated through literature review and expert input, followed by content validation by AI and education specialists. The scale was pilot-tested and refined using data from a stratified convenience sample of 300 pre-service teachers in a state university in Central Visayas, Philippines. Exploratory and confirmatory factor analyses supported an 11-factor structure across the KAP domains. The finalized 58-item scale demonstrated strong psychometric properties, including high internal consistency and construct validity. By providing a valid and reliable tool, the study contributes to AI readiness assessment and intervention designs that promote responsible AI integration and use.

STEM EducationVol. 5(6)
Cebu Normal University (PH)
Openalex Percentile: Top 72%
Online Learning and Analytics
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Scale development and validation of knowledge-attitudes-practices (KAP) on artificial intelligence (AI) productivity tools in education — Isidro Max V. Alejandro, Charess E. Goles, et al. · STEM Education (2025) | TGRS Research Map | TGRS