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Record W3184832085 · doi:10.20961/shes.v3i4.53383

Penggunaan Media Kartu Pecahan untuk Meningkatkan Hasil Belajar Matematika Materi Pecahan Kelas 3 SD Ta’mirul Islam Inovatif

2021· article· en· W3184832085 on OpenAlexaff
Kokom Komariah

Bibliographic record

VenueSocial Humanities and Educational Studies (SHEs) Conference Series · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsMathematics educationClass (philosophy)Mastery learningIslamMathematicsFraction (chemistry)PsychologyComputer scienceTheologyArtificial intelligenceChemistryPhilosophy

Abstract

fetched live from OpenAlex

<p><em>This research is about Classroom Activity Research (PTK), this research is for students of Sd Ta'mirul Islam Surakarta. The numbers of the students are 26 students consists of 12 boys and 14 girls. Tje purpose of the research is to increase the result of learning from the third grade of SD Ta'mirul Islam Surakarta by using fraction card media. The result of learning pre cycle with the standard of minimum criteria of mastery learning (kkm) 75 is got from the average class, it is 68,6. in the first cycle the average class score is 77,5. The number who is completed the learning is 19 students or 73%. In the second cycle the average class score is 81,1. The observation data shows the result of learning is increase. The number is 23 students or 88% are completed the learning, and who is not finished the learning is about 3 students or 12%. So the conclusion is the result of learning by using fraction card media can increase the score, activeness, and can motivate the students. </em></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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.121
GPT teacher head0.333
Teacher spread0.211 · 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 designTheoretical or conceptual
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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