Inspecting the Impact of the International Baccalaureate (IB) Educator’s Certificate on Pre-Service Teacher Development Using Actor Network Theory
Bibliographic record
Abstract
Abstract: The International Baccalaureate (IB) is one of the fastest-growing education systems globally, resulting in increased demand for trained and qualified IB teachers. This demand has resulted in initial teacher education programs offering IB Educator Certificates (IBEC) in partnership with IB to both pre-service and in-service teachers. This study explores the impact of the IBEC on pre-service teacher development through discussions of global competencies. Two groups of participants, one who completed IBEC and one who did not, are compared. Data were collected in group interviews immediately following practicum and were explored using Actor Network Theory. Initial teacher education programs were considered complex networks with various human and non-human actants contributing to teacher development and identity. This study concludes that IBEC does impact pre-service teacher development and offers suggestions for initial teacher education programs offering external certifications, such as IBEC, to pre-service teachers.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".