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Record W4327906523 · doi:10.1080/2331186x.2023.2191414

Assessing blended and online-only delivery formats for teacher professional development in Kenya

2023· article· en· W4327906523 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCogent Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsConcordia UniversityWilfrid Laurier University
FundersInternational Development Research Centre
KeywordsBlended learningKenyaProfessional developmentLiteracyPsychologyMathematics educationMedical educationTechnology integrationTest (biology)Teaching methodPedagogyComputer scienceEducational technologyMedicinePolitical science

Abstract

fetched live from OpenAlex

The present study compared the learning and experiences of Kenyan teachers randomly assigned to either an online or a blended 12-week intensive teacher professional development program (TPD). The TPD addressed the fundamentals of early literacy development as well as how to use early literacy software to support students learning. TPD outcomes were assessed through surveys, course performance and discussion elements. Teachers demonstrated pre- to post-test gains in domain knowledge, lesson plan construction and comfort teaching early literacy skills. Few differences were observed between the online versus blended formats. However, teachers endorsed a blended instructional format over online-only or in-person formats. Challenges regarding resources and infrastructure were identified as barriers to technology integration within the classroom. Some cultural challenges were identified as potential barriers for young learners using software developed in Western countries. Overall, both online and blended formats appear to be effective TPD delivery systems for Kenyan teachers, however, findings highlighted challenges that need to be addressed to optimize learning when using technology. Future research recommendations include broadening the teacher sample to assess potential differences due to regionalism, associated differences in access to resources, and further examination of teaching experience on learning in the two types of online formats.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.063
GPT teacher head0.413
Teacher spread0.350 · 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