MétaCan
Menu
Back to cohort
Record W2991706469

The Effects of Book-Making Activities with Music-Listening on Young Children`s Creativity and Character

2013· article· en· W2991706469 on OpenAlexvenueno aff
Hyoungshin Park, Cho eun jung, Kim Jeong Ju

Bibliographic record

VenueEarly childhood education · 2013
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningCreativityCharacter (mathematics)PsychologyTest (biology)Developmental psychologyMathematics educationSocial psychologyPedagogyCommunication
DOInot available

Abstract

fetched live from OpenAlex

This research explored the effects of book-making activities with music-listening on young children`s creativity and character building, which could suggest an effective approach in art education. For this purpose, 47 five-year-old children at kindergartens in G city were grouped into an experimental group and a comparison group. The experimental group was provided with book-making activities based on music-listening. The average and standard deviation of children`s creative attitude and character building were calculated and ANCOVA with pre-test scores of the two groups as the covariate was carried out from the data collected. The main results showed that book-making activities based on music-listening have positive effects in cultivating a creative attitude and good character traits in young children. The results indicate that having children share their thoughts from listening to music and making a book with creative stories is appropriate for the trend of current art education emphasizing creativity and character.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.228
Teacher spread0.223 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEarly childhood educationSame topicEducation and Learning InterventionsFrench-language works237,207