Creativity and togetherness through the Erasmus+ exchange
Bibliographic record
Abstract
Abstract – Team building games and contact teaching: Using creativity within Erasmus+ teacher exchange programs. Students are international and the course is called: Development of Social and Managerial Potential A partnership between Seinäjoki University of Applied Sciences (Finland) and Škoda Auto University (Czech Republic) where students learn through traditional teaching and then through games played in teams outside in the Czech countryside. A teacher from each university and a group of international students studying in the Czech Republic spend a weekend in a small country hotel near Mladá Boleslav, Czech Republic. The hotel is situated in a small village, in the quiet countryside, surrounded by rolling hills. The host teacher starts the course in the traditional way at the university. About a quarter of the way through the course, the teacher from Finland arrives and everybody meets at the hotel. Two intensive days of teaching and team-building games follow. Students take part in traditional teaching and have teamwork exercises within the unique hotel setting. Students then complete team-building games outside on the hotel grounds. At the hotel, issues related to culture, management, gender roles and teams are discussed, explored and reflected upon. Furthermore, socialisation is part of the program. Teachers and students meet for common meals to discuss the activities, course and content. It is also an informal time for questions and feedback. The evening after dinner is free for the students and the following day’s program starts again at 8:00 am. The setting of the hotel in the countryside also plays a role in creating a learning atmosphere that is far removed from the more traditional model. The host teacher continues the course back at the university.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".