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Record W4386472386 · doi:10.58258/jupe.v8i2.5639

Penerapan Metode Pembelajaran Discovery Learning Untuk Meningkatkan Aktivitas Dan Hasil Belajar Tik Siswa Kelas Viii B Smp Negeri 3 Monta

2023· article· id· W4386472386 on OpenAlex
Muslimin Muslimin, Lisda Ramdhani

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

VenueJUPE Jurnal Pendidikan Mandala · 2023
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsMathematics educationHumanitiesPhysicsPsychologyArt

Abstract

fetched live from OpenAlex

Tujuan penelitian ini adalah untuk mengetahui apakah Penerapan Metode Discovery Learning dapat meningkatkan Aktivitas dan Hasil Belajar pada materi perangkat lunak pengolah kata di kelas VIII B SMPN 3 Monta. Penelitian ini merupakan jenis penelitian tindakan kelas atau (Classroom Action Researc). Hasil analisis menunjukkan; (1) Metode discovery learning (belajar penemuan) dapat meningkatkan aktivitas belajar siswa kelas VIII B SMPN 3 Monta Tahun Pelajaran 2021/2022 dengan rata-rata aktivitas belajar siswa pada siklus I adalah 2,39. Pada siklus II 3,15. (2) Metode discovery learning (belajar penemuan) dapat meningkatkan hasil belajar siswa kelas VIII B SMP N 3 Monta Tahun Pelajaran 2016/2017. Ketuntasan yang diperoleh pada siklus I sebesar 76,92%, siklus 92,3%, Hasil ini menunjukkan adanya peningkatan pada tiap-tiap siklus dan tercapainya ketuntasan belajar yang diharapkan.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.032
GPT teacher head0.307
Teacher spread0.275 · 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