Research Trends, Methodological Patterns, and Gaps in Faculty Publications at a Center of Excellence in Teacher Education in Northern Philippines

Published: 15 January 2026| Version 1 | DOI: 10.17632/sxp72y9p7d.1
Contributor:
Leonardo Tejano

Description

This dataset analyzes 40 faculty research studies primarily focused on Science and Language Education in Northern Philippines, highlighting prevalent small-scale, geographically concentrated methodologies with notable gaps in longitudinal studies, diverse samples, and emerging technology integration like AI and VR. It also offers detailed insights into research areas, patterns, findings, and recommendations for enhancing educational practices and teacher development.

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Steps to reproduce

The data for this analysis was gathered through a comprehensive research inventory framework, which systematically collected and cataloged 40 faculty publications within 2025. The primary source for these studies was the Mariano Marcos State University (MMSU) College of Teacher Education (CTE), a designated Center of Excellence in Teacher Education. A set of inclusion criteria was applied to ensure the relevance and quality of the selected research. To be included, studies had to be faculty-authored publications from the teacher education domain and contain clearly documented research methodologies and designs. This initial phase involved compiling a research inventory to identify and source the 40 qualifying studies. Following collection, each study was processed using a systematic categorization workflow managed within an Excel-based inventory system. This protocol involved coding each publication against a structured 9-variable framework, which documented its title, research area, sub-topic, methodology, specific design, participants, sample size, and geographic location. This meticulous data extraction process created a standardized dataset for analysis. The subsequent analysis phase, which aimed to identify patterns and gaps, implied the use of various analytical tools. These included statistical software for quantitative data (such as descriptive statistics and t-tests mentioned in pre-test/post-test designs) and qualitative analysis tools to perform the documented thematic and content analyses. This multi-phase protocol ensured a structured, replicable, and thorough examination of the research landscape.

Institutions

  • Mariano Marcos State University
  • Mariano Marcos State University College of Teacher Education

Categories

Teacher Education, Methodology, Productivity

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