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Record W4389761896 · doi:10.22460/jpp.v1i2.12405

Pengembangan Bahan Ajar Materi Laporan Wawancara dengan Menggunakan Pendekatan Open Ended Berbantuan Video untuk Meningkatkan Kemampuan Menyimak dan Menulis Kelas IV SD

2022· article· id· W4389761896 on OpenAlexaff
Riska Agni Rahayu, Ruli Setiyadi, Evi Susanti

Bibliographic record

VenueJurnal Profesi Pendidikan · 2022
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Kemampuan siswa dalam menyimak dan menulis adalah termasuk dalam kemampuan dasar dalam kegiatan pembelajaran di sekolah terutama dalam muatan pelajaran Bahasa Indonesia. Tujuan pada penelitian ini adalah untuk menelaah kemampuan menyimak dan menulis. Populasi pada penelitian ini merupakan siswa kelas IV A dan IV B di SDN 1 Kayuambon sedangkan sampelnya sebanyak 10 siswa pada uji coba terbatas dan pada uji luas sebanyak 20 siswa. Instrumen pada penelitian ini menggunakan tes. Hasil pada penelitian ini berdasarkan hasil dan pembahasannya dapat disimpulkan adanya pengaruh penggunaan bahan ajar materi laporan wawancara dengan menggunakan pendekatan open ended berbantuan video untuk meningkatkannya kemampuan menyimak dan menulis pada siswa kelas IV SD yang dapat dibuktikan oleh nilai Sig (2-tailed) yang hasilnya sebesar 0,000 < 0,05.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0440.010

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 head0.050
GPT teacher head0.331
Teacher spread0.281 · 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 designBench or experimental
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

Citations1
Published2022
Admission routes1
Has abstractyes

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