Integrated Arts-based Teaching (IAT) Model for Brain-based Learning
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".