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Record W4402676186 · doi:10.46827/ejse.v10i6.5535

THE RELATIONSHIP BETWEEN READING COMPREHENSION ABILITY LEVEL AND READING PERFORMANCE IN ENGLISH LANGUAGE AMONG GRADE FOUR LEARNERS WITH DYSLEXIA IN NAIROBI AND KIAMBU COUNTIES, KENYA

2024· article· en· W4402676186 on OpenAlexaff
Kinyua Miriam, Jessina Muthee, Mathew Karia

Bibliographic record

VenueEuropean Journal of Special Education Research · 2024
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsEducation and Early Childhood Development
FundersFondation Pour l'Audition
KeywordsReading comprehensionDyslexiaReading (process)PsychologyEnglish languageLinguisticsMathematics education

Abstract

fetched live from OpenAlex

This study aimed to establish the relationship between reading comprehension ability and reading performance in the English language among grade four learners with dyslexia in Nairobi and Kiambu counties. This study was guided by Gough and Tunmer’s Simple View of Reading and Chall’s Stages of Reading Development theories. The study adopted a correlational research design to determine the type of relationships between predictor and outcome variables. The study targeted 1,040 grade four learners with dyslexia in public primary schools. The researcher used purposive sampling in the selection of 32 special needs teachers and simple random sampling to select 166 learners with dyslexia, translating to a total of 198 respondents. Dyslexia Screen Test Junior (DST-J), document review, classroom observation schedule, interview schedule for teachers, and two comprehension tests were employed by the researcher in data collection. Furthermore, the researcher conducted a pilot study in two special units in two public primary schools, one in Nairobi County and the other in Kiambu County. The reliability of the research instruments was established using the test-retest method, resulting in a 0.82 Cronbach Alpha Coefficient. Data was collected from Special needs teachers of English, Grade four learners with dyslexia, and by reviewing relevant academic documents. Coding and analysis of the quantitative data collected was done using SPSS version 21.0. To help determine the relationship between the independent and dependent variables, the researcher used Pearson's' correlation coefficient and ANOVA statistical tests. The findings revealed a significant correlation coefficient (r=0.355*), with a significance level of 0.000. These findings suggested a clear relationship between reading comprehension ability levels and English performance among grade four learners with dyslexia. Notably, the study observed a trend wherein an increased risk of dyslexia corresponded to decreased levels of reading comprehension ability, emphasizing the impact of dyslexia on reading proficiency in English. The study concluded that there was a significant relationship between reading comprehension ability level and reading performance in the English language among grade four learners with Dyslexia in Nairobi and Kiambu counties, Kenya. The study recommended that the MoE should provide comprehensive training programs for teachers to enhance their understanding of dyslexia and effective instructional strategies tailored to the needs of learners with dyslexia. This training should focus on structured literacy approaches, multisensory teaching methods, and accommodations specific to students wih dyslexia. Moreover, teachers should develop and implement individualized education plans for students with dyslexia, outlining specific interventions, accommodations, and goals to support their reading development.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0724/a.php" alt="Hit counter" /></p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.101
GPT teacher head0.380
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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