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Record W4283458079 · doi:10.5430/wje.v12n3p29

Coronavirus Era: Implications for Reconceptualization of Curriculum Delivery in Kenyan Primary and Secondary Schools

2022· article· en· W4283458079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumContext (archaeology)PedagogyCurriculum developmentSociologyPsychologyPublic relationsPolitical scienceMathematics education

Abstract

fetched live from OpenAlex

The school curriculum encapsulates what a progressive society, based on the pluralist values of liberal democracy, believes its future citizens should know and be able to do. In this respect, the curriculum should serve the immediate and long-term needs of all students. However, COVID-19 has uncovered the inequities that have existed in curriculum and delivery, especially in developing countries. School closures due to COVID-19 have resulted in actual learning wastage. The primary question is: what changes in curriculum and delivery are essential to improving equity and learning access within this pandemic context? Therefore, the study was guided by e-learning theory as advanced by Richard E. Mayer, John Sweller, and Roxana Moreno in 2015. The theory outlines cognitive science principles that describe how electronic educational technology is used and designed to promote effective learning. The theorists advanced that channeling linguistic information through audio while concurrently showing non-text imagery is very effective. The theory applies to this study to suggest combining media to facilitate learning during the pandemic lockdown period. The study also adopted a documentary analysis approach. Documents on curriculum development and delivery were analyzed. In Kenya, the education sector has been struggling with how to adopt online-based solutions for curriculum delivery. Despite this, losses are more significant due to the lack of adequate structures to sustain effective e-teaching and e-learning. The suspension of face-to-face learning in all educational institutions led to "unfinished learning" as the learners were not allowed to experience all the understanding they would have had in a typical class. The study might be significant to Kenya and sub-Sahara Africa, as policymakers and curriculum developers would use the findings to formulate curriculum reforms to redress the coronavirus's impact on education. Conclusively, the study recommends the use of e-learning as a mitigation strategy for coronavirus challenges in educational systems.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.041
GPT teacher head0.370
Teacher spread0.329 · 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