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Meningkatkan Kemampuan Menyimak melalui Metode Bercerita pada Anak Usia Dini

2018· article· en· W2902195259 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

VenuePaedagogie · 2018
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsActive listeningPsychologyAction researchStorytellingMathematics educationCommunicationArt

Abstract

fetched live from OpenAlex

The study aims to improve the listening ability through the method of telling the story of the children of group A TK Pertiwi Rejowinangun Selatan Magelang City. Research is a classroom action research consisting of four stages: planning, implementation, observation and reflection. The research was conducted in TK Pertiwi Rejowinangun Selatan Kota Magelang. The subjects of this study are students of Group A of TK Pertiwi Rejowinangun Selatan Kota Magelang, amounting to 12 children. Variables used in the study include input variables (listening ability before action), process variables (storytelling method) and output variables (listening ability after action). Methods of data collection using observation method. Methods of data analysis using descriptive statistical analysis percentage, with success indicator> 75%. The conclusion of the research result proves that storytelling is effective to improve the listening ability in group A TK Pertiwi Rejowinangun Selatan Magelang City. The result of preliminary observation is known that average listening ability only reach 60,9%. After the learning activities using the storytelling method, the average achievement of listening ability of subjects increased to 86.1%, has exceeded the target set that is> 75%.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.374
Teacher spread0.295 · 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