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Record W3209188524 · doi:10.24036/javit.v1i3.67

PENGEMBANGAN MEDIA PEMBELAJARAN E-MODUL INTERAKTIF PADA MATAKULIAH PEMROGRAMAN VISUAL DENGAN METODE PENGEMBANGAN ADDIE

2021· article· id· W3209188524 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

VenueJAVIT Jurnal Vokasi Informatika · 2021
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsADDIE ModelComputer scienceMathematics

Abstract

fetched live from OpenAlex

Pengembanagn Media Pembelajaran ini bertujuan untuk mengembangkan dan menghasilkan suatu produk berupa media pembelajaran E-Modul interaktif pada mata kuliah Pemrograman Visual Jurusan Teknik Elektronika Universitas Negeri Padang..Software yang digunakan dalam mengembangkan media pembelajaran E-Modul ini yaitu software sigil, yang merupakan software editor untuk EPUB yang bersifat open source. Jenis metode pengembangan yang digunakan dalam pengembangan media pembelajaran ini adalah metode pengembangan ADDIE. Ada 3 tahap metode pengembangan ADDIE yang digunakan dalam pengembangan media pembelajaran ini yaitu 1)Analisis, 2) desain, 3) perancangan. Pada tahap perancangan dilakukan uji validasi oleh ahli materi dan juga ahli media, berdasarkan penilaian, saran dan juga komentar yang didpat setelah dilakukan uji validasi maka dilakukan perbaikan terhadap media yang dikembangkan sehingga dari penelitian ini dihasilkan media pembelajaran E-Modul interaktif yang valid pada matakuliah Pemrograman Visual.

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)0.002
metaresearch head score (Gemma)0.002
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), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0040.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.003

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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