Teaching Practicum During the Covid-19 Pandemic: A Comparison of the Practices in Different Countries
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
Today, many countries ensure that student teachers get into the real classrooms, practice in there, spend more time and translate theoretical knowledge into practice in schools during Initial Teacher Education. So that they can receive stronger support in the practicum process, and they can develop themselves. However, schools have been closed in so many countries due to the Covid-19 pandemic preventions. Therefore, countries have rearranged the teaching practicum process. The aim of this study, which was carried out with a systematic review, is to comparatively examine the teaching practicum processes of different countries during the Covid-19 pandemic. With a systematic review made according to certain criteria, teaching practicum in the Covid-19 in the countries of Australia, Canada (Ontario State), England, Greece, Hong Kong, Malaysia, Portugal, South Africa, Turkey, the United States of America (New York State) and Zimbabwe were examined. According to the findings, it has been seen that some countries have removed or stretched the teaching practicum requirement during the Covid-19, while some countries have carried out online teaching practicum (i) in K-12 schools, (ii) with peer learning, or (iii) using VR technology, and one country re-opened the schools after a short closure.
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.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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