Teaching Art Using Technology: The Views of High School Students in Greece
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.
Bibliographic record
Abstract
In this article we present the results of a survey, which studied the views of 21,040 high school students from all around Greece, regarding the assessment of Information and Communication Technologies (ICT) in the teaching of Art. The results were processed using Multidimensional Statistic Data Analysis, on the axis of dividing the students’ sample in 5 groups, in regard to their positive or negative views on using Technology in Art. Besides the fact that the vast majority of the student sample (87.04%) appears to be familiar with ICT, there was a differentiation in answers among the student groups. It is especially interesting that in questions regarding the influence of Technology on modern Art and the consequent appearance of new Art forms, 50.00% and 65.59% of the students, respectively, gave positive answers. In general, the survey’s results confirmed the hypothesis of a positive attitude of students towards using Technology in Art education.
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it