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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.024
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