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Record W7163355631 · doi:10.35508/eceds.v2i2.5819

Increasing Learning Results Of Bolavoly Low Passing Using Hanging Ball Media In Class IV Students Of Waikoro State Elementary School

2021· article· W7163355631 on OpenAlexaff
Veramita Maria Marta, Ronald Dwi Ardian Fufu, Ramadhan Kasim

Bibliographic record

VenueEarly Childhood Education Development and Studies (ECEDS) · 2021
Typearticle
Language
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsSelkirk College
Fundersnot available
KeywordsAction researchClass (philosophy)Ball (mathematics)Completeness (order theory)Academic year

Abstract

fetched live from OpenAlex

This research is motivated by the use of instructional media that is not in accordance with the characteristics of students which causes students to be uninterested and less active during the learning process so that student learning outcomes decline. This study aims to determine the improvement of the process of learning under passing by using a hanging ball media on the fourthgrade students of the SD Negeri Waikoro. This research is a Classroom Action Research (CAR) which consists of two cycles, in each cycle there are four stages, namely planning, implementation, observation and reflection. The subjects of this study were 15 class IV students of Waikoro Public Elementary School consisting of 15 students consisting of 11 male students and 4 female students. The physical condition of students is physically and mentally healthy. The results showed that by using hanging ball media can improve the results of learning under passing in class IV SD Negeri Waikoro, in cycle I and cycle II, the results of learning to pass under the first cycle, the average value obtained was 70.55 with completeness classical 33.33%. In cycle II the average value of students increased to 81.11 with classical completeness reaching 93.33%

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.051
GPT teacher head0.396
Teacher spread0.345 · 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
Published2021
Admission routes1
Has abstractyes

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