Art and Design Education in the Times of the Coronavirus (Covid-19) Pandemic in Turkey
Bibliographic record
Abstract
The Coronavirus (Covid-19) pandemic, which started in the People’s Republic of China in December 2019, spread to the entire world at the beginning of 2020 and affected all areas of social life. Under the measures were taken by governments; education in countries was stopped temporary and art and design education were carried to the computer environment. This research aims to determine the students’ opinions about the art and design education are made through distance education during the Covid-19 pandemic. A descriptive research method was used to determine the current situation. The data required for the research were collected with a data collection tool developed by the researcher. The obtained data were analysed using frequency (f) and percentage (%) and the results of the research are revealed. As a result of the research, it has been found that following art and design education with a distance education model was not convenient for the majority of students. In addition to this result, it has also been found that 224 of 326 students felt that they could not achieve the aims of practical courses in the distance education model. From all these mentioned results, it may be recommended that additional measures should be taken to transfer the aim of practical courses to students in distance 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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".