Teaching Educational Psychology in an International Setting: Exploring the Finnish Education System
Bibliographic record
Abstract
The emphasis of this paper is on the importance of teaching teacher preparation courses, specifically educational psychology, through a study abroad trip to Finland. This experience allowed American preservice teachers to see theories applied in an international setting while also allowing preservice teachers to compare the United States education system to the Finnish educational system. The current study includes sixteen female, preservice teachers’ perceptions of the trip. Development of the activities abroad occurred with a Finnish university and included multiple school visits, panel discussions, and guest lectures. These experiences allowed for full immersion in the Finnish education system. The data include observations, student papers, and student survey responses, which present changes in students’ views of education, views of the Finnish education system, and the application of theories in a real-world setting. This experience not only provided preservice teachers with an opportunity to see one of the best educational systems in the world but also pushed the preservice teachers to rethink how teaching and learning can look in a classroom.
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How this classification was reachedexpand
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 | 0.004 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".