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Record W2190769276 · doi:10.5430/jct.v4n2p130

Integrated Arts-based Teaching (IAT) Model for Brain-based Learning

2015· article· en· W2190769276 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Curriculum and Teaching · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsObjectivity (philosophy)PsychologyDocumentationComputer scienceChartMathematics educationVisual artsArtMathematicsEpistemology

Abstract

fetched live from OpenAlex

This study analyzes teaching strategies among the eight books in Principles and Methods of Teaching recommendedfor use in the College of Teacher Education in the Philippines. It seeks to answer the following objectives: (1) identifythe most commonly used teaching strategies congruent with the integrated arts-based teaching (IAT) and (2) design anIAT Modelling for brain-based learning. This study employed a content analysis among the eight selected books in thestudy. Coding of the identified teaching strategies from 1 to 7 was matched into any of the four designated learningquadrants as illustrated in the flow chart (see chart instrument in the appendix). With grounded theory as framework, acritical analysis of the coded arts-based teaching strategies is interpolated to Hermann’s Brain Quadrants. C1VAL isthe first code for Visual Art for Learning; C2LAL is the second code for Art for Learning; C3TAL is the third code forTheater Art for Learning; C4MAL is the fourth code for Musical Art for Learning; C5LAL is the fifth code forLocomotor Art for Learning; C6CAL is the sixth code for Communication Art for Learning; and C7NAL is the seventhcode for Naturalistic Art for Learning. To guarantee inter-coder consistency, internal and external validators arerequested to ensure objectivity of results. After the analysis of these books, a documentation of an integrated arts-basedteaching for brain-based learning was juxtaposed for modelling. The analyzed books in Principles and Methods ofTeaching used in College of Teacher Education in the Philippines exhibited a lopsided distribution of communicative,theater, and musical arts-based teaching strategies, which conformed to the Filipinos’ vivacious, chatty, andflamboyant traits of being Quadrants B and C, who are self-conscious, systems-focused, people-oriented, sentimental,and entertaining. Though the use of visual and literary arts was frequently reflected; but naturalistic and locomotor artsfor dancing was infrequently codified, indicative that the outcomes for artistic creations and scientific inventions inQuadrants A and D were less likely met, evident to have shown a limited number of Filipino analysts, writers,composers, inventors, designers, and creative teachers the country has produced. With this, it is recommended thatauthors on Principles and Methods of Teaching may explore - revising their books, to ensure an equitable balance ofarts-based teaching, addressing Brain-based Ambiguity Theory of Learning (BAT-L) in the 21st century.

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)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.343
Teacher spread0.275 · 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