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Record W3148420228

The Influence of Multiple Intelligence Approach on the Physical Education Learning towards for Character Improvement

2014· article· en· W3148420228 on OpenAlexvenueno aff
Roesdiyanto

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPhysical educationCharacter educationValue (mathematics)Mathematics educationPopulationSet (abstract data type)Theory of multiple intelligencesProcess (computing)Character (mathematics)Affect (linguistics)Developmental psychologySociologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

AbstractThis research is aimed to know the influence of the learning methods using the multiple intelligence approach towards the learning outcomes of early childhood students. This research uses the pre-experimental research design using static group comparison. The population was kindergarten children in Pasuruhan, Kediri, Blitar, Malang, Batu, Malang Region, consisted of 36 kindergarten schools, with the samples taken of 240 children from 12 kindergartens. The analysis uses one way ANOVA, with F value is set at the significant level a = 0.05. Results show that learning methods using the multiple intelligence approach significantly influence (F=3.818, pKeywords: physical education, multiple intelligence, kindergarten schools, society develepment, creativity1. IntroductionTeaching is an effort to create a situation and condition to stimulate children to learn. The effort has purpose to make children able to interact actively with the learning sources, teachers, media, and the environment, therefore it enables the potential of the children to appear during the learning process, finally the children can reach high self actualization levels.Physical education (PE) cannot be separated from the National Education System, and it is an integral part of the National Education System. The success of physical education in schools will affect to the success of the National Education System. The physical education has an important role to develop a wholesome human being physically, mentally, socially and morally.Many believes that if someone has high IQ, he or she will be successful in this life. However, in reality this may not be the case. It shows that IQ is not a warranty for someone's success, although IQ has an important role in someone's life, especially in the matter of knowledge development (cognitive). According to Gardner (2003) there are at least eight intelligence domains possessed by human being that can be developed since the early time i.e: (1) music, (2) body kinesthetic, (3) mathematics logic, (4) language, (5) spatial, (6) interpersonal, (7) intrapersonal and (8) naturalistic. Entirely the eight intelligences are called Multiple Intellengences (MI). Every one has these eight intelligences and every day he or she uses it in different combination and portion (Amstrong, 2003). The multiple intelligence theory of Gardner gives us the point of view of the complete student potential, therefore their multiple abilities that are neglected will be apreciated and developed as well.Developing the multiple intelligence can be done early and one way to do it is through the education institution for the early childhood. The National Education System regulation no. 20, 2003 verse 28 about the education for earlychildhood states that early childhood education can be conducted through formal education at kindergarten and Islamic kindergarten, through informal education i.e: play group, Quranic Education classes and the family. This article discusses about physical education held in formal education namely kindergarten or Islamic kindergarten.Early childhood are an important period for ability development. Erikson states that the age of 3-5 years is the golden period whereby the children are sensitive to their environment and absorbs all information around them and less learning stimulation during this age is a disadvantage (Erikson in the Ayahbunda magazine, 2000). That opinion is strengthened by the researches done by various child psychologists. It is explained that the intellectual development of children happens maximally during early age, more or less 50% of the intelligence variabilities happen when they are at the age of four years old (Diknas, 2002). …

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.061
GPT teacher head0.461
Teacher spread0.400 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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