Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

E-Learning Module Evaluation for Female English Proficiency Development in Nairobi High Schools: A Six-Month Progress Analysis

Authors: Njuguna, Kamau;

E-Learning Module Evaluation for Female English Proficiency Development in Nairobi High Schools: A Six-Month Progress Analysis

Abstract

The rapid advancement of technology has led to increased interest in e-learning as a tool for enhancing educational outcomes. In Nairobi high schools, there is an increasing demand for English proficiency development among female students, necessitating innovative and effective learning solutions. A mixed-methods approach was employed, combining quantitative data from pre- and post-module assessments with qualitative insights gathered through student feedback surveys and focus group discussions. Statistical analysis utilised a t-test for comparing mean scores between the pre- and post-assessments. During the six-month evaluation period, there was a statistically significant improvement in students' English proficiency scores (t(20) = 3.45, p < 0.01), indicating that the e-learning modules were effective in enhancing female students' language skills. The findings suggest that e-learning modules can be an impactful tool for promoting female students' English proficiency development in Nairobi high schools, though further refinement is required to address specific learning needs and challenges. Based on the evaluation results, it is recommended that future e-learning initiatives should incorporate more interactive elements and adaptability features to better meet the diverse educational requirements of female students. e-learning modules, English proficiency, Nairobi high schools, mixed-methods approach, statistical analysis

Keywords

Educational Technology, Geographic Mapping, Quantitative Research, Qualitative Analysis, Hierarchical Linear Modelling, Kenya, Learning Analytics

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!