Raising naturalistic intelligence towards increasing academic performance: Environmental activities alongside learning
Bibliographic record
Abstract
One of the eight multiple intelligences being neglected in the academe world is the naturalistic ability. This is the skill and intelligence which is closely related to environmental awareness, and leads a person to become engaged in exploring the things around him, especially those with life form. The purpose of this study was to investigate on the effect of nurturing vegetables alongside learning to the academic performance of Grade 11 ABM learners of Talangan Integrated National High School, Nagcarlan, Laguna, Philippines. Thirty-eight learners initially benefitted on this exploratory-sequential mixed study, with 21 participants (7 teachers, 7 parents and 7 learners) in the qualitative survey questions. The 38 ABM learners were given a 5-week challenge of planting vegetables of their choice, which they were asked to do in school during vacant times – having a contact with their environment by choosing the vegetable to plant, observation of the growth of their vegetable, exploration, classification, and ultimately leading to forming a hobby of cultivating vegetables at home. After the 5-week challenge, it was found out that the naturalistic intelligence and academic performance from second quarter to third quarter of the school year significantly increased, using paired t-test and supported by p-values. The result of the written interview to the participants with regards to how naturalistic intelligence was nurtured by the five activities (contact, observation, exploration, classification and hobby) generated five themes: (1) Contact with things around us creates awareness and later breeds curiosity (2) Keen observation of how living things grow helps in forming environmental inclination (3) Knowledge and different information are available through environment exploration (4) Identifying the characteristics and classification of different kinds of life form discloses inspiring creation and (5) Development of hobby in personal life is possible when the importance of an ability is realized. Recommendations to school heads and officials, teachers and advisers, DepEd officials, family and community were laid down at the end of the study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".