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Record W4392621523 · doi:10.22460/collase.v6i2.12731

Kelayakan bahan ajar interaktif berbasis problem-based learning pembelajaran PPKn pada Siswa Kelas V SD

2023· article· en· W4392621523 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

VenueCOLLASE (Creative of Learning Students Elementary Education) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSTEM Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the feasibility of interactive teaching materials based on problem-based learning in Civics learning for fifth grade elementary school students in Mayong District, Jepara Regency. Sources of data with interviews, questionnaires, and documentation. Quantitative and qualitative research methods. Data were analyzed by accumulating the number of scores. Analysis of the data from the expert validation test results, student and teacher responses were obtained using the percentage calculation of the score obtained with the maximum score and description. The results of the research are the feasibility of teaching materials which are validated by material experts, teaching materials experts and practitioners each 90.00; 89.5, and 89 “very feasible” criteria. The results of the responses from students were 87.53% and the average response of the three teachers was 88.89% with the "very feasible" category. Problem-based learning-based interactive teaching materials are proven to be suitable for use as a teaching chart for Civics learning for fifth graders in elementary schools in Mayong District, Jepara Regency.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.362
Teacher spread0.346 · 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