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Record W2135965453 · doi:10.5539/ass.v9n12p105

The Implementation of Dynamic System Theory and the Principles of Growth in Physical Education of Elementary School

2013· article· en· W2135965453 on OpenAlexvenueno aff
Syahrial Bakhtiar

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychomotor learningPlan (archaeology)Independence (probability theory)Physical educationMathematics educationPsychologyCognitive developmentCognitionPrimary educationPhysical developmentDevelopmental psychologyMathematics

Abstract

fetched live from OpenAlex

Physical education in elementary school is supposed to promote child growth and development, not only for psychomotor, but also within the cognitive and affective domains. The rate of growth and development of children varies from individual to individual. An appropriate program and lesson plan should not be designed based on the level in elementary school only, but it also should rely on individual development. The four principles of growth; cephalocaudal, proximodistal, hierarchical integration and the independence system principle, provide a direction to begin and to end the physical education program or lesson plans. Moreover, dynamic system theory is an essential guidance for designing a developmentally appropriate program in physical education for elementary school students. This theory depicts well how to progress the lesson plan based on child growth and development principles. By understanding both theory and principles, it is expected that flaws in the physical education activities can be avoided in the hope of encouraging physical activity among children.

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)0.001
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 score0.935
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.302
Teacher spread0.297 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

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