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E-Learning Platforms in Northern Ghana: Enhancing Secondary School Science Outcomes

Domaine:

education

Type de record:

paper
Créateur:
Ama
Éditeur:
Zenodo
Hôte:avatar

This study addresses a current research gap in Computer Science concerning E-Learning Platforms to Improve Secondary School Science Outcomes in Northern Ghana in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. E-Learning Platforms to Improve Secondary School Science Outcomes in Northern Ghana, Ghana, Africa, Computer Science, working paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.

Visit

doi.org

Tags

Sub-SaharanAfricaLiteratureReviewInstructionalDesignMultimediaTechnologiesOnlineLearningEnvironmentsBlendedLearning

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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