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Record W4388012845 · doi:10.56114/edu.v1i3.470

Meningkatkan Hasil Belajar Siswa Dengan Menerapkan Model Case Method Pada Pembelajaran Tematik Di Kelas IV UPT SD Negeri 060870 Medan Timur

2022· article· id· W4388012845 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

VenueEducate Journal Ilmu Pendidikan dan Pengajaran · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematics educationPsychologyClass (philosophy)Computer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The purpose of this study was to improve student learning outcomes by using the case method learning model in thematic lessons in class IV UPT SD Negeri 060870 Medan Timur. This research was conducted in class IV UPT SD Negeri 060870 Medan Timur which is located at Jalan Gunung Krakatau No.196, Pulo Brayan Darat I, Medan Timur District, Medan City, North Sumatra, 20236. The implementation of this research was in semester I, this research was Class Action (PTK). The research steps involved are planning, acting, observing, reflecting, and evaluating and consist of 2 cycles. The subjects in this study were fourth grade students of UPT SD Negeri 060870 Medan Timur for the Academic Year 2022/2023 with a total of 26 students consisting of 11 boys and 15 girls. The object of this study is the learning outcomes in thematic lessons using the case method learning model in class IV UPT SD Negeri 060870 Medan Timur. From the results of this classroom action research several conclusions were obtained, namely: The use of the case method learning model was able to improve the learning outcomes of class IV UPT SD Negeri 060870 Medan Timur in thematic lessons. The average student learning outcomes increased from 50% to 69% in cycle I to 77% in cycle II. Student activities and student learning outcomes in learning increase and complete.

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)0.025
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)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0230.001
Scholarly communication0.0020.002
Open science0.0040.001
Research integrity0.0010.010
Insufficient payload (model declined to judge)0.0110.000

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 head0.053
GPT teacher head0.380
Teacher spread0.327 · 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