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Record W3197800047 · doi:10.5539/ies.v14n10p28

Views of Academic Staff on Physical Education and Sports Teaching Undergraduate Program

2021· article· en· W3197800047 on OpenAlexvenueno aff
Berna Karakoç

Bibliographic record

VenueInternational Education Studies · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical educationVocational educationMedical educationQualitative researchPsychologyMathematics educationTheme (computing)Teaching methodContent analysisPedagogyMedicineSociologyComputer science

Abstract

fetched live from OpenAlex

The general purpose of this study is to find out the views of academic staff working in schools of Physical Education and Sports or faculties of Sports Sciences regarding the physical education and sports teaching undergraduate program. While finding out the views of academic staff, the physical education and sports teaching undergraduate program was examined within 5 different themes under the titles of general evaluation of the program, evaluation of the learning-teaching process, advantages of the program, disadvantages of the program and recommendations relating to the program. Under the theme general evaluation of the program, 4 different sub-themes were examined separately as evaluation of applied courses, evaluation of courses on teaching profession, evaluation of courses on content knowledge and evaluation of general culture and elective courses. The most frequently used qualitative research method, interview technique, was used in the study. A total of 12 academic staff were interviewed. The interviews were voice recorded and transcribed. The transcribed data were evaluated with descriptive analysis method and coded. Interpretations were made by using codes. As a result in general the academic staff stated their views the need to increase the number of applied courses, opening new applied courses, increasing the number of field-specific theoretical courses and updating the program and also their views that vocational courses were sufficient and physical infrastructure was insufficient.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.200
GPT teacher head0.608
Teacher spread0.409 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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