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Pengembangan Modul Genetika Berbasis Praktikum Proyek Memanfaatkan Drosophila melanogaster Pada Topik Regulasi Ekspresi Gen Eukariot

2018· article· en· W2922283896 on OpenAlexaff
Shefa Dwijayanti Ramadani

Bibliographic record

VenueWACANA DIDAKTIKA · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsDrosophila melanogasterComputer scienceResource (disambiguation)PsychologyMathematics educationBiologyGeneGenetics

Abstract

fetched live from OpenAlex

Ideal learning should encourage students to be actively involved, both physically and mentally during the learning process. Unfortunately, Genetics lectures at higher education were still widely implemented conventionally through theoretical studies without involving practical activities. This condition was at least caused by two factors: (1) practical activity wasn’t designed in the curriculum, so it had never been done and (2) there weren’t enough learning resources available to encourage the students to carry out practical activity independently. The development of learning module that utilize Drosophila melanogaster was expected to enhance student’s activity and concept understanding on the topic of regulation of gene expression in eukaryotes. ADDIE was used as instructional module design, while the instrument used include observation sheets, student assessment sheets, and module validation sheets by Genetic experts and learning resource development experts. The results showed that the percentage of assessment based on small group trial was 90.8%; while validation results by Genetic and learning resource development expert were 92.2% and 92.5%, respectively. This means that the learning module was valid with very good qualification. Thus, the regulation of gene expression module can be used by students to obtain concept understanding more easily, as well as facilitating the students to empower skills and scientific values. Keywords: Project Practicum, Drosophila Melanogaster, Development of Module, Regulation of Gene Expression Abstrak Pembelajaran ideal adalah pembelajaran yang mampu mendorong siswa untuk terlibat secara aktif, baik secara mental maupun fisik selama proses pembelajaran. Sayangnya, perkuliahan Genetika di Perguruan Tinggi masih banyak dilaksanakan secara konvensional melalui kajian teoritis tanpa melibatkan aktivitas praktikum. Kondisi ini setidaknya disebabkan oleh dua faktor yaitu: (1) aktivitas praktikum memang tidak dirancang dalam kurikulum, sehingga belum pernah dilakukan dan (2) belum tersedia sumber belajar yang cukup untuk mendorong mahasiswa melaksanakan kegiatan praktikum secara mandiri. Pengembangan modul pembelajaran yang memanfaatkan Drosophila melanogaster diharapkan dapat mendorong aktivitas maupun pemahaman konsep mahasiswa pada topik regulasi ekspresi gen pada eukariot. ADDIE digunakan sebagai desain modul pembelajaran, sementara instrumen yang digunakan meliputi lembar observasi, lembar penilaian/respons mahasiswa, dan lembar validasi modul oleh ahli Genetika dan ahli pengembangan bahan ajar. Hasil penelitian menunjukkan bahwa persentase penilaian berdasarkan uji coba kelompok kecil sebesar 90,8%; sementara hasil validasi oleh ahli materi dan ahli pengembangan bahan ajar masing-masing sebesar 92,2% dan 92,5%. Hal ini berarti bahwa modul dinilai layak dengan kualifikasi sangat baik. Dengan demikian, modul regulasi ekspresi gen dapat digunakan oleh mahasiswa untuk memperoleh pemahaman konsep secara lebih mudah sekaligus memfasilitasi mahasiswa untuk memberdayakan keterampilan dan sifat-sifat ilmiah.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.025
GPT teacher head0.296
Teacher spread0.271 · 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 designNot applicable
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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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