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Record W7144632673

構成主義の学習理論が求める音楽科の学力 : ポートフォリオ評価法に着目して

2006· article· ja· W7144632673 on OpenAlexaboutno aff
Ritsuko Kojima

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2006
Typearticle
Languageja
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsConstructivism (international relations)Competence (human resources)PerceptionPortfolioCore competencyGrounded theoryProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study is to consider what kind of competence the learning based on the theory of constructivism develop through the case study on portfolio assessment in Japan and Canada. 1. The use of portfolio makes apparent children's inner process in music learning. 2. The case in Canada assessed both qualitatively and quantitatively children's inner process with the criterion on the basis of the process of perception, while the case in Japan assessed quantitatively children's inner process with the standard of the level of good performance. In the case of Canada, the criterion embodying teaching content can make possible qualitative assessment. 3. Both cases in Canada and Japan included the assessment of expressive idea and technique and of human relationship. Perception of element of art work was found in Canada. On the other hand, performing technique was observed in Japan, instead. 4. Perception-reaction is supposed to be reconstructed in the music learning based on the theory of constructivism. 5. We can find perception in the case in Canada, but not reaction related to imagination. We cannot find perception-reaction in the case in Japan. 6. The music teaching-learning process in constructivism should stand on the structural perspective of competence with a core of perception-reaction, and have two-layer structure of musical activity and its reflection.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.609

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.241
Teacher spread0.210 · 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 designNot applicable
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
Published2006
Admission routes1
Has abstractyes

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