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PENGGUNAAN MEDIA VIDEO ANIMASI PADA MATERI HEWAN DAN TUMBUHAN DI LINGKUNGAN RUMAHKU UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV MIN 16 PIDIE

2022· article· en· W4316080804 on OpenAlexaff
Junaidah Junaidah

Bibliographic record

VenueJurnal Eksperimental/Jurnal Eksperimental : Media Ilmiah Pendidikan · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSTEM Education
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsAction researchMathematics educationPsychologyResearch method

Abstract

fetched live from OpenAlex

This study aims to improve the learning outcomes of fourth grade students of MIN 16 Pidie on animal and plant material in my home environment by using animated video media. The type of research is Classroom Action Research. The subjects of the study were grade IV students, totaling 12 students consisting of 7 male students and 5 female students with heterogeneous abilities. This research was conducted in 3 cycles using observation, test, and documentation techniques. The average score of students in the first cycle is 65.8 with 3 students' accuracy or 25% of all students. In the second cycle, the average score of students became 74.16 with student completeness as many as 8 students or 66.7% of the total students. In the third cycle, the average score of students became 90.83 with student completeness as many as 12 students or 100%.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.024
GPT teacher head0.300
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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