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Record W4394004500 · doi:10.20961/jpiuns.v5i1.33812

Peningkatan Prestasi Belajar PKn melalui Metode Kooperatif Pada Siswa SD

2019· article· en· W4394004500 on OpenAlexaff
Christina Suhartini

Bibliographic record

VenueJPI (Jurnal Pendidikan Indonesia) Jurnal Ilmiah Pendidikan · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEnvironmental scienceMathematics

Abstract

fetched live from OpenAlex

<p>Abstract. The formulation of the problem in this study is whether the cooperative method can be used to improve PKn learning achievement for grade IV students of SD Negeri 2 Nanggulan, District of Cawas, Klaten Regency, second semester 2017/2018 academic year? The goal to be achieved is to prove that the cooperative method can be used to improve PKn learning achievement of grade IV students of SD Negeri 2 Nanggulan, District of Cawas, Klaten Regency, second semester of the school year 2017/2018. This research was conducted at Nanggulan Cawas Klaten Public Elementary School 2. While the time of the study was<br />conducted from February to March 2018. The subjects of this study were grade IV students of SD Negeri 2 Nanggulan Cawas Klaten in the second semester of the school year 2017/2018. This action research uses the classroom action research flow. The data analysis technique used uses several stages, namely data reduction, presentation and conclusion. From the results of the research carried out since planning, repairs to implementation and evaluation, it can be concluded that the cooperative method can be used to improve PKn learning achievement of fourth grade students of SDN 2 Nanggulan, District of Cawas, Klaten Regency, second semester 2017/2018 school year. This was proven before the improvement in the percentage of students' completeness in learning was only 27.78% or 5 students, in the improvement of the first cycle to 55.6% (of 18 students, which was not completed 8 students) and in the second cycle the percentage of student mastery reached 94, 44%. Of the 18 students, 17 of them have achieved mastery learning, while the one student is still incomplete.</p>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.004
Open science0.0050.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.020
GPT teacher head0.286
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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