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Record W4414846729 · doi:10.33367/piaud.v5i1.7140

Penggunaan Media Flashcard dalam Meningkatkan Kemampuan Kognitif Anak Usia 5-6 Tahun Di Kelompok Bermain Kenanga

2025· article· en· W4414846729 on OpenAlexaff
Yusuf Hidayat, Risa Rahmawati, Imas Masriah, Suwarni Suwarni, Lela Rosidah

Bibliographic record

VenueJournal Ashil Jurnal Pendidikan Anak Usia Dini · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPopulationEarly childhoodQualitative researchSingingCognitionAlphabetSample (material)

Abstract

fetched live from OpenAlex

Flashcard media is a learning medium designed to optimize early childhood learning experiences through multisensory stimulation. This study aims to determine the use of flashcard media to improve the cognitive abilities of early childhood-aged children (5-6 years) in Kober Kenanga and to assess the extent of the impact of using flashcard media on the development of cognitive abilities in early childhood-aged children (5-6 years) in Kober Kenanga. The method employed in this study is qualitative under a phenomenological approach. The method used in this study is a qualitative approach with a phenomenological approach. In this study, the researchers act as the teacher assisted by other two teachers to conduct the learning on 15 early childhoods aged 5-6 years who are selected as the population and sample in this study. The results show that the use of flashcard media occurs well, at which 11 early childhoods (73.3%) are able to remember, understand, and match the alphabet A-Z, with the criteria developing of according to expectations (BSH). Meanwhile, the rest of the 4 early childhoods (26.7%) are still experiencing obstacles, with the criteria not yet developing (BB). Furthermore, when the use of flashcard media is combined with the singing method and the drilling technique, the results show that the entire 15 early childhoods (100%) can remember, understand, and match the letters of the alphabet A with the available symbols and images, with the criteria of developing very well (BSB).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.004

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 head0.017
GPT teacher head0.298
Teacher spread0.281 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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