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Record W4392849818 · doi:10.1080/2331186x.2024.2329367

Curriculum mapping evaluation of a Tyler model designed physiotherapy curriculum of the Baptist institute of health science in Cameroon

2024· article· en· W4392849818 on OpenAlexaff
Mbohjim Othniel Mobit, L. Elit, Dennis Duane Palmer, Nancy Lea Palmer, Timothy Njobula Fanfon

Bibliographic record

VenueCogent Education · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCurriculumMedical educationPsychologyMedicineSociologyPedagogy

Abstract

fetched live from OpenAlex

The shortage of rehabilitation health personnel in Cameroon is a limiting factor to attaining full health coverage under Sustainable Development Goal 3 of ensuring healthy lives and promoting well-being for all ages. This problem has been accentuated by the low level and quality of training of rehabilitation workers such as physiotherapists. This was partly due to the poor understanding of the profession of physiotherapy. The profession had also been devaluated to massage therapy or just a paramedical practice, requiring training programs of 2 years or less. This has caused a huge rehabilitation personnel gap which the Baptist Institute of Health Sciences is aimed at addressing with the Bachelor of Sciences in Physiotherapy curriculum and training. The paper aims to evaluate the aptness of the Tyler-designed curriculum in addressing the rehabilitation skill gap. The Baptist Institute of Health Sciences developed a 4-year Bachelor of Sciences curriculum designed using the Tyler Model as a training intervention to address this problem. This curriculum mapping tool is used to evaluate the designed curriculum for vertical, horizontal, interdisciplinary, and subject-area coherence and redundancy. This is to assess the structure of the curriculum in preparing physiotherapists to operate in full physiotherapists competencies in integrating rehabilitation between primary, secondary, and tertiary healthcare systems as defined World Health Organization. It was found that the curriculum has zero vertical redundancy (coherent with no content overlap) as it systematically covers 16 curriculum tracks. The zero vertical redundancy reveals the aptness of the curriculum as it includes all 8 domains provided by the Physiotherapists Educational framework and more. These 16 curriculum tracks are pedagogically grouped into three broad levels of competencies namely the fundamental, core, and specialty expertise competencies levels. They are progressively fashioned to train the habits of the mind and develop the appropriate skills proficiency outcomes (SPOs) in the physiotherapists in training. The curriculum has horizontal redundancy (skill repetition development cycle) created by the spiral curriculum approach used in reinforcing the skills proficiency Outcomes (SPOs) across the three competencies categories. This is because the physiotherapist in training grows in the 6 skills proficiency outcomes (SPOs) from comprehensive examination and assessment through to recommendation and patient self-management skills at all three levels.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.382
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2024
Admission routes1
Has abstractyes

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