Renewing Art Education Philosophy in Light of Twenty-First Century Skills
Bibliographic record
Abstract
The problem of renewing the philosophy of teaching art education in the light of 21st century skills. Art education at the global level is facing many and many challenges as a result of the tremendous changes in the way knowledge and information are exchanged, in which technology plays a large role because of the necessity of its existence at various scientific levels. These challenges required a comprehensive review of the educational system and philosophy in general And in particular technical education, which in turn lead to the development of advanced courses and innovative work to prepare a learner is able to absorb better, in addition to it makes the educational process an interesting process for the learner and by integrating those courses study With 21st century skills and information technology, which in turn improves the outcomes of the learning process and the quality of education. Research problem: The researcher found through the study of international and international research of the 21st century skills and information technology to be applied in the curricula of different fields, because it is important for the students as it earns and trains them on life and work skills to bring out a person who is more capable of dealing smartly in life and linking them to the curriculum. As well as their application to the labor market. Therefore, the problem of this research lies in the following question: To what extent is it possible to implement a program based on the integration of information technology and art education curricula in the light of 21st century skills to bring out a learner capable of keeping pace with the labor market? Research goals: The research aims to: - Prepare a student capable of keeping pace with the labor market through the application of the skills of the 21st century by international standards in the curricula of art education. - to highlight the skills of the twenty-first century of high value that contribute to the output of a learner capable of achieving professional success in the labor market. Research importance: - keep up with information technology through integration with the curriculum of art education - Use the skills of the twenty-first century in teaching the curriculum of art education - Stimulate educational institutions to apply the skills of the twenty-first century and mechanisms to achieve the vision of the Kingdom 2030 in the field of education.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| 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".