Linking the Nature of Secondary School Students who are Highly Artistic with Curriculum Needs and Instructional Practice
Bibliographic record
Abstract
This exploratory qualitative investigation examined the nature of 7 secondary school students who are highly artistic to link visual arts programs that best ac-commodate their learning needs. Instrumentation for data collection included 1 questionnaire, 3 in-depth semistructured one-on-one interviews, artwork docu-ments, observations, and field notes. Findings related to creativity, motivation, social and emotional perspectives, and cognitive processes supported the signifi-cance and benefits of visual arts in student growth. Results identified the development of critical thinking, problem-solving skills, risk-taking, meeting chal-lenges, transferability of skills, extending local and world connections, and environmental and societal concerns. Through artwork production and insight into their needs, students conveyed valuable suggestions for programming en-hancements and visual arts classroom settings. These findings are meaningful for educators and curriculum developers as they distinguish the importance of diver-sified and differentiated learning opportunities in engaging students who are highly artistic to meet their optimal potential, and suggest implications for educa-tional practice.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".