Assessing Digital-AI learning metacognition competencies in smart school principals: adaptation and validation of a new Metacognitive Stewardship Scale

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Authors: Mohammad Nayef Ayasrah, Abdullah Ahmed Almulla
Cited by: 1
References: 35

Abstract

Digital-AI metacognitive learning competencies are becoming essential for educational leadership in smart schools. However, few tools assess principals’ adaptive metacognitive stewardship in AI- and digitally integrated environments. This methodological study aimed to develop and validate the Digital-AI Learning Metacognition Stewardship Scale (LMS) for secondary school principals. Data from 630 principals were analyzed using exploratory and confirmatory factor analyses. Five dimensions emerged: Cognitive Navigation in Technological Ecosystems, Strategic Reflectiveness, Cognitive–Ethical Responsiveness, Capacity-Building Commitment, and Metacognitive Regulation. Model fit indices, reliability coefficients, and validity measures were all acceptable. The scale also showed measurement invariance across gender. The LMS is a valid and reliable tool for assessing leadership metacognition in Digital-AI learning contexts. It can inform professional development, educational innovation, and policymaking in smart education settings.

Fields of Study & Subjects

Innovative Teaching and Learning Methods Intelligent Tutoring Systems and Adaptive Learning Educational Games and Gamification

Publication details

Journal / source
Journal of Research on Technology in Education
Publisher
Informa UK Limited
Pages
1–24
Publication date
30 January 2026
Language
EN