THE PREVALENCE OF DYSLEXIA, DYSCALCULIA, AND DYSGRAPHIA AS PREDICTORS OF ACADEMIC PERFORMANCE IN STUDENTS SUFFERING FROM SPECIFIC LEARNING PROBLEMS IN KARACHUONYO NORTH SUB COUNTY, HOMA BAY COUNTY

This study sought to determine the degree of impact of dyslexia, dyscalculia, and dysgraphia prevalence on the academic achievements of children having specific learning disabilities within Karachuonyo North Sub County in Homa Bay County. Using an ecological perspective grounded in Bronfenbrenner’s Ecological System Theory and a learner-centered perspective based on Montessori’s philosophy, this study used a descriptive survey design that was qualitative and quantitative in nature. The target population included 386 learners and 24 education stakeholders, from whom a sample size of 219 respondents was obtained using the Yamane’s Formula. The results showed a high rate of SLDs prevalence among learners (65%, 127 learners), where dyslexia (28%, 55 learners), dyscalculia (22%, 43 learners), and dysgraphia (15%, 29 learners) were the major factors determining low academic achievement. Dysgraphia showed the lowest mean scores (42%) and highest standard deviation (±18%), suggesting that the teachers failed to recognize the disorder. Inferential analysis revealed that these SLDs impede academic literacy and numeracy skills among learners. Among psychosocial measures such as reassuring the teacher (21%), training in behavior modification (18%), and follow-up support (24%), significant improvements in academic performance were noted.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-29
DOI
https://doi.org/10.5281/zenodo.21041331
Primary Topic
Education Methods and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE PREVALENCE OF DYSLEXIA, DYSCALCULIA, AND DYSGRAPHIA AS PREDICTORS OF ACADEMIC PERFORMANCE IN STUDENTS SUFFERING FROM SPECIFIC LEARNING PROBLEMS IN KARACHUONYO NORTH SUB COUNTY, HOMA BAY COUNTY

CATHERINE ATIENO OKOMBO, PROF. JOHN BROWN IKENYE, DR. JANE NGURE
Zenodo (CERN European Organization for Nuclear Research)
Education Methods and Practices
article

THE PREVALENCE OF DYSLEXIA, DYSCALCULIA, AND DYSGRAPHIA AS PREDICTORS OF ACADEMIC PERFORMANCE IN STUDENTS SUFFERING FROM SPECIFIC LEARNING PROBLEMS IN KARACHUONYO NORTH SUB COUNTY, HOMA BAY COUNTY

CATHERINE ATIENO OKOMBO, PROF. JOHN BROWN IKENYE, DR. JANE NGURE
article en

Abstract

This study sought to determine the degree of impact of dyslexia, dyscalculia, and dysgraphia prevalence on the academic achievements of children having specific learning disabilities within Karachuonyo North Sub County in Homa Bay County. Using an ecological perspective grounded in Bronfenbrenner’s Ecological System Theory and a learner-centered perspective based on Montessori’s philosophy, this study used a descriptive survey design that was qualitative and quantitative in nature. The target population included 386 learners and 24 education stakeholders, from whom a sample size of 219 respondents was obtained using the Yamane’s Formula. The results showed a high rate of SLDs prevalence among learners (65%, 127 learners), where dyslexia (28%, 55 learners), dyscalculia (22%, 43 learners), and dysgraphia (15%, 29 learners) were the major factors determining low academic achievement. Dysgraphia showed the lowest mean scores (42%) and highest standard deviation (±18%), suggesting that the teachers failed to recognize the disorder. Inferential analysis revealed that these SLDs impede academic literacy and numeracy skills among learners. Among psychosocial measures such as reassuring the teacher (21%), training in behavior modification (18%), and follow-up support (24%), significant improvements in academic performance were noted.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 3%
Education Methods and Practices
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.