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Record W2889152953 · doi:10.5539/hes.v8n4p23

An Investigation of Professional Problems of Physical Education and Sports Teachers and Effects of These Problems on their Performance and Motivation

2018· article· en· W2889152953 on OpenAlexvenueno aff
Murat Kul, Sevim Handan Yılmaz, Fatih Yaşartürk

Bibliographic record

VenueHigher Education Studies · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPhysical educationPsychologyMedical educationMathematics educationFace (sociological concept)Face-to-facePhenomenology (philosophy)PedagogyMedicineSociology

Abstract

fetched live from OpenAlex

The purpose of this research is to analyze professional problems faced by the physical education and sports teachers and effects of these problems on their performance and motivation. 41 physical education and sports teachers working in the province of Bartın participated in the research. Interview method was used in this study which was designed with the "phenomenology" concept for exploration - benefited from the interview method. Descriptive analysis and content analysis methods were used during the analyze of the data obtained. the most important problems that physical education and sports teachers face may be listed as; school administration's underestimation of physical education course, lacking of the qualification needed to inspect this course, parents' focus on academic achievement and therefore their underestimation towards physical education course, parents' failure to motivate their children towards doing sports, non-availability of sport facilities and course tools and equipment, low weekly course hours, frequent change of curriculum, students' desire to do extracurricular activities during the course and inadequacy of in-service and seminar programs. It was determined that; due to the problems they face with school management 46% of the participants, due to the problems they face with the parents 76% of the participants, due to the problems they face with the students 49% of the participants, due to the problems they face with the curriculum 44% of the participants, due to the problems they face about the facility and course tools and equipment 68% of the participants, due to the problems they face about the inspection 22% of the participants, due to the problems they face with the provincial directorates of sports 56% of the participants, due to the problems they face about the in-service programs 27% of the participants were negatively affected in terms of performance and motivation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.422

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 head0.082
GPT teacher head0.444
Teacher spread0.362 · 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 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

Citations4
Published2018
Admission routes1
Has abstractyes

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