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Record W7128441025 · doi:10.36312/jurnalkhd.v2i2.186

Pengaruh Model Pembelajaran Berbasis Proyek terhadap Kemampuan Penalaran Adaptif Matematis Siswa Kelas VII SMPN 2 Lenek

2025· article· W7128441025 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

VenueJurnal Kependidikan Ki Hajar Dewantara · 2025
Typearticle
Language
FieldSocial Sciences
TopicOnline Learning Methods and Innovations
Canadian institutionsCanarie
Fundersnot available
KeywordsClass (philosophy)Test (biology)Control (management)Experimental research

Abstract

fetched live from OpenAlex

Abstract: The aim of this study is to find out the influence of project-based learning models on the adaptive mathematical reasoning ability of students of grade VII at SMPN 2 Lenek. The method used in this research is experimental research. The design of this study is based on Pretest-Posttest Control Group Design. The samples used in this study were two classes where class VII A as experimental class and class VII B as control class, then both classes were given different treatment i.e. in experimental classes were treated with a project-based learning model whereas in control class were given conventional learning models, after given further treatment were given posttests to find out the final ability of students. The test results of the hypothesis obtained thitung = 4,741; ttabel = 1,045 or (thitung 4, 741 > ttabel 1, 045). Thus, it can be concluded that there is an influence of project-based learning models on the ability of mathematical reasoning students in SMPN 2 Lenek school year 2023/2024.

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)0.008
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0060.002
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.352
Teacher spread0.324 · 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