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Record W3134309379

Visions of Early Childhood Education in the 21ST Century : The Present Situation and Future Direction of Montessori Education in Korean Kindergarten

2000· article· en· W3134309379 on OpenAlexvenueno aff
Hwa Sik Shin

Bibliographic record

VenueEarly childhood education · 2000
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMontessori methodPsychologyMathematics educationEarly childhood educationVisionPreschool educationIBMPedagogyDevelopmental psychologySociology
DOInot available

Abstract

fetched live from OpenAlex

The present study was intended to investigate the current status of Montessori education practices in Korea and to suggest future direction for its improvement and successful implementation of Montessori education in Korean kindergarten. This study was conducted by self-administered questionnaire survey. Subjects served for the study consisted of 85 Montessori teachers among 30 Montessori Kindergartens located in Seoul area, sampled from Korean Montessori kindergarten, using random sampling method. Data were analysed by IBM-PC computer, using SAS program. Statistical methods employed were frequency of item, t-test, and ANOVA. The summary of the research findings was as follows: It was revealed that Korean Montessori teachers who have worked for Montessori Kindergarten with the large amount of Montessori materials on hand had considerably higher recognition of the practical application of Montessori materials and teaching method of Montessori`s theory and program than Montessori teachers with small amount of materials in their Montessori kindergarten. However, the educational instruments for assessing the whole development of children held in stock by Korean Montessori kindergarten generally were below the mean number of holdings. Therefore, the author suggests the importance of educational assessment instruments for Montessori children and those proper application methods.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.948
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.253
Teacher spread0.247 · 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 teacher head, 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
Published2000
Admission routes1
Has abstractyes

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