ENHANCING FOUNDATIONAL READING SKILLS THROUGH THE MARUNGKO APPROACH: A MIXED-METHODS STUDY AMONG KEY STAGE 1 LEARNERS IN THE PHILIPPINES

Foundational reading difficulties remain a significant challenge among early-grade learners in the Philippines, emphasizing the need for structured and responsive literacy interventions. This study examined the effectiveness of the Marungko Approach in enhancing the reading skills of Key Stage 1 learners at R. Moreno Integrated School, Lianga, Surigao del Sur, during the Academic Year 2025-2026. A mixed-methods design employing a one-group pretest–posttest approach was used, involving 76 low-emerging readers from Grades 1–3 and eight teachers. Data were collected through the Comprehensive Rapid Literacy Assessment, teacher-validated checklists, interviews, and classroom observations. Quantitative data were analyzed using descriptive statistics, paired-samples t-tests, and Pearson correlation, while qualitative responses underwent thematic analysis. Findings revealed a substantial increase in overall reading performance from a pretest mean of 1.17 to a posttest mean of 4.89, with statistically significant differences across all five reading domains (p < .001). The Marungko Approach received an overall effectiveness rating of 4.90, interpreted as Highly Effective. Qualitative findings indicated improved reading confidence, motivation, participation, and engagement. The study concluded that the Marungko Approach was associated with substantial improvements in foundational reading skills, supporting its potential application as a structured literacy intervention for struggling early-grade readers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23878542
Primary Topic
Reading and Literacy Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ENHANCING FOUNDATIONAL READING SKILLS THROUGH THE MARUNGKO APPROACH: A MIXED-METHODS STUDY AMONG KEY STAGE 1 LEARNERS IN THE PHILIPPINES

Imelda P. Bola, Alfie E. Aton
3 links
Zenodo (CERN European Organization for Nuclear Research)
Reading and Literacy Development
article

ENHANCING FOUNDATIONAL READING SKILLS THROUGH THE MARUNGKO APPROACH: A MIXED-METHODS STUDY AMONG KEY STAGE 1 LEARNERS IN THE PHILIPPINES

Imelda P. Bola, Alfie E. Aton
article en

Abstract

Foundational reading difficulties remain a significant challenge among early-grade learners in the Philippines, emphasizing the need for structured and responsive literacy interventions. This study examined the effectiveness of the Marungko Approach in enhancing the reading skills of Key Stage 1 learners at R. Moreno Integrated School, Lianga, Surigao del Sur, during the Academic Year 2025-2026. A mixed-methods design employing a one-group pretest–posttest approach was used, involving 76 low-emerging readers from Grades 1–3 and eight teachers. Data were collected through the Comprehensive Rapid Literacy Assessment, teacher-validated checklists, interviews, and classroom observations. Quantitative data were analyzed using descriptive statistics, paired-samples t-tests, and Pearson correlation, while qualitative responses underwent thematic analysis. Findings revealed a substantial increase in overall reading performance from a pretest mean of 1.17 to a posttest mean of 4.89, with statistically significant differences across all five reading domains (p < .001). The Marungko Approach received an overall effectiveness rating of 4.90, interpreted as Highly Effective. Qualitative findings indicated improved reading confidence, motivation, participation, and engagement. The study concluded that the Marungko Approach was associated with substantial improvements in foundational reading skills, supporting its potential application as a structured literacy intervention for struggling early-grade readers.

Zenodo (CERN European Organization for Nuclear Research)
Quality education
Openalex Percentile: Top 9%
Reading and Literacy Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon