PEDAGOGY REVIEW

An International Journal of Educational Theories, Approaches and Strategies
ISSN (Electronic): 3028-1040 | ISSN (Print): 3028-1059

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Original Research

Predictive Role of Pedagogical Beliefs and Disciplinary Expertise in Institutional Decisions to Integrate the Binomial Theorem in Higher Education Curricula

Pedagogy Review: An International Journal of Educational Theories, Approaches and Strategies

ISSN (Electronic): 3028-1040 | ISSN (Print): 3028-1059

Volume 7 | Issue 1 | 2026 | 288 – 303

Christian Anthony R. Flores, DBA, ORCID No. 0009-0004-6054-5798

La Consolacion University Philippines, Capitol View Park Subdivision, Bulihan, City of Malolos, Bulacan, Philippines

Article History:

Initial submission: 04 February 2026
First decision: 08 February 2026
Revision received: 09 March 2026
Accepted for publication: 10 March 2026
Online release: 13 March 2026

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Abstract

The integration of foundational mathematical concepts into higher education curricula is increasingly shaped by institutional leadership perspectives rather than purely disciplinary considerations. This study examines the predictive role of pedagogical beliefs and disciplinary expertise in institutional decisions to integrate the Binomial Theorem within higher education curricula in the Philippines. Anchored in constructivist pedagogy and disciplinary cognition theory, the research investigates how administrators and subject-matter experts evaluate the curricular relevance, pedagogical value, and strategic utility of the Binomial Theorem across mathematics, accounting, and business science programs. Using a quantitative explanatory research design, data were collected from college and university deans, vice presidents, senior academic executives, mathematicians, accountants, and business scientists through a validated survey instrument. Multiple regression and structural equation modeling were employed to determine the extent to which pedagogical beliefs and disciplinary expertise predict institutional decisions on curriculum integration. Reliability and validity analyses confirmed strong internal consistency, construct validity, and model fitness. Findings reveal that pedagogical beliefs significantly predict curricular integration decisions, particularly beliefs aligned with problem-based learning, applied reasoning, and interdisciplinary transfer. Disciplinary expertise also emerged as a significant predictor, although its influence varied by professional role, with mathematicians emphasizing theoretical coherence and business-oriented respondents prioritizing applied decision-making relevance. The interaction between pedagogical orientation and disciplinary background further demonstrated a synergistic effect on institutional decision outcomes. This study contributes to the body of knowledge by extending curriculum decision-making theory beyond faculty-level implementation to executive and policy-level cognition. It offers empirical evidence to inform strategic curriculum governance, interdisciplinary mathematics integration, and evidence-based academic leadership in developing higher education systems.

Keywords: Pedagogical beliefs, disciplinary expertise, binomial theorem, curriculum integration, higher education leadership, institutional decision-making.

Cite this article

APA (7th edition)

Flores, C. A. R. (2026). Predictive role of pedagogical beliefs and disciplinary expertise in institutional decisions to integrate the binomial theorem in higher education curricula. Pedagogy Review: An International Journal of Educational Theories, Approaches and Strategies, 7(1), 288–303. https://doi.org/10.62718/vmca.pr-ijetas.7.1.SC-0226-003.

Author contributions

– (Not Applicable)

Funding

This research received no external funding.

Conflict of interest

The author declares no conflict of interest.

Institutional ethics review statement

The study adhered to ethical standards for educational research. Confidentiality and anonymity of respondents were maintained, and data were used solely for academic purposes. No identifying institutional or personal information was disclosed.

Data availability statement

Due to ethical restrictions, the data are not publicly available but may be obtained from the corresponding author upon reasonable request.

Declaration of generative AI use/assistance

No AI tools were used in the preparation of this manuscript.

Acknowledgement

– (Not available).

Publisher’s disclaimer

The views expressed in this article are those of the authors and do not necessarily reflect the views of the publisher. The publisher disclaims any responsibility for errors or omissions.

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