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Record W6995758031

Peningkatan Kreativitas Belajar IPA Melalui Metode Problem Solving Pada Siswa Kelas IV SD Negeri 01 Lempong Kabupaten Karanganyar Tahun Pelajaran 2012/2013

2013· other· id· W6995758031 on OpenAlexaff

Bibliographic record

VenueUMS Library Center of Academic Activities (Universitas Surakarta) · 2013
Typeother
Languageid
Field
Topic
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNucleofectionHyporeflexiaTSG101SubpoenaPretextDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

Tujuan khusus penelitian ini adalah untuk meningkatkan kreativitas belajar IPA materi Gerak Benda melalui penerapan metode pemecahan masalah (Problem Solving) pada siswa kelas IV SD Negeri 01 Lempong kabupaten Karanganyar Tahun Pelajaran 2012/2013. Penelitian dilakukan dengan menggunakan metode Penelitian Tindakan Kelas. Subjek dari penelitian ini adalah guru dan siswa kelas IV SD Negeri 01 Lempong tahun pelajaran 2012/2013. Objek penelitian ini adalah pembelajaran IPA siswa kelas IV SD Negeri 01 Lempong. Data dikumpulkan melalui metode observasi, dokumentasi, dan angket. Rancangan penelitian tindakan yang dipilih yaitu model siklus terdiri dari dua siklus. Setiap siklus meliputi unsur perencanaan, pelaksanaan, observasi dan refleksi.
\nAnalisis data yang digunakan adalah model analisis interaktif mempunyai empat buah komponen pokok yaitu pengumpulan data, reduksi data, sajian data dan penarikan kesimpulan. Dari hasil analisis data menunjukkan adanya peningkatan kreativitas belajar IPA siswa melalui penerapan metode Problem Solving pada siswa kelas IV SD Negeri 01 Lempong siklus I mencapai 69,4% dan meningkat serta mencapai hasil optimal pada siklus II 88,6%.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0060.007
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0060.003
Science and technology studies0.0020.004
Scholarly communication0.0010.035
Open science0.0070.005
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.1370.008

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 head0.012
GPT teacher head0.209
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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Citations0
Published2013
Admission routes1
Has abstractyes

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