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Qiu, Y., Pan, J., & Ishak, N. A. (2022). Effectiveness of artificial intelligence (AI) in improving pupils' deep learning in primary school mathematics teaching in Fujian Province. Computational Intelligence and Neuroscience, 2022, Article 1362996.

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Preparedness of Filipino Math Teachers for Generation Alpha: Development and Validation of a Readiness Scale

1University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines


American Journal of Educational Research. 2025, Vol. 13 No. 4, 148-155
DOI: 10.12691/education-13-4-1
Copyright © 2025 Science and Education Publishing

Cite this paper:
Peter John M. Melchor, Jennifer O. Parcutilo. Preparedness of Filipino Math Teachers for Generation Alpha: Development and Validation of a Readiness Scale. American Journal of Educational Research. 2025; 13(4):148-155. doi: 10.12691/education-13-4-1.

Correspondence to: Peter  John M. Melchor, University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines. Email: peterjohn.melchor@ustp.edu.ph

Abstract

This study aimed to develop and validate a readiness scale designed to assess the preparedness of Filipino mathematics teachers to teach Generation Alpha students, employing a mixed-method exploratory sequential design. The qualitative phase utilized a descriptive phenomenological approach to explore Generation Alpha students' perceptions of effective mathematics instruction. This exploration revealed three key themes: Positive and Supportive Teacher-Student Relationship, Student-Centered Learning through Games and Innovative Integration of Modern Technology, and Supportive and Non-Competitive Blended Learning Environment. Students emphasized the importance of teachers being empathetic, approachable, and engaging while integrating advanced technologies and fostering a supportive, non-competitive classroom. A 46-item readiness scale was developed based on these qualitative findings. The scale underwent expert review, pre-testing, and validation through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA, conducted on 250 responses, confirmed sample adequacy (KMO = 0.900, Bartlett’s test: p < 0.05) and identified a two-factor structure explaining 52.0% of the variance. The scale was refined to 31 items, with Factor 1, "Compassionate Learning Environment" (22 items), and Factor 2, "Engaging and Advanced Technology-Driven Teaching" (9 items). CFA, conducted on an independent sample (N = 202), validated the structure, yielding strong fit indices (SRMR = 0.055, CFI = 0.976, RMSEA = 0.018, χ²(461) = 433, p = 0.173). The validated scale provides a reliable tool for assessing Filipino mathematics teachers’ readiness for Generation Alpha students, highlighting the need for compassionate, engaging, and advanced technology-driven teaching approaches.

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