The Road Less Travelled: Alternative Pathways for Teacher Candidates
Bibliographic record
Abstract
Teacher preparation in Canada and the United States has traditionally relied on residency-based degree programs which often exclude candidates who are unable to leave their communities or jobs for multiyear, on-campus training. This research examined the effectiveness of alternative online teacher preparation models. Ohio’s Intensive Pedagogical Training Institute (IPTI) and Alternative Resident Educator Institute (AREI), both launched in 2010, along with Cape Breton University's accelerated online Bachelor of Education program, launched in 2024, expanded access for underserved candidates. Quality assurance metrics indicated that the online format and accelerated pace of CBU’s program did not negatively impact the academic or professional success of its graduates compared to those from traditional programs. The findings underscore that online pathways are equally effective and promote greater equity and access in the teaching profession. Keywords: alternative pathways, instructional design, online learning, teacher certification, teacher training barriers Une voie moins fréquentée : parcours alternatifs vers la profession enseignante Résumé : La formation des enseignants au Canada et aux États-Unis repose traditionnellement sur des programmes diplômants en présentiel, de type résidentiel, qui excluent souvent les candidats dans l’impossibilité de quitter leur communauté ou leur emploi pour suivre une formation universitaire sur campus sur plusieurs années. Cette recherche examine l’efficacité d’un modèle alternatif de formation des enseignants entièrement en ligne. Le programme accéléré de baccalauréat en éducation en ligne de la Cape Breton University, lancé en 2024, a permis d’élargir l’accès à la formation pour des candidats issus de publics sous-desservis. Les indicateurs d’assurance qualité montrent que le format en ligne et le rythme accéléré du programme de la Cape Breton University n’ont pas eu d’incidence négative sur la réussite académique ou professionnelle de ses diplômés, comparativement à ceux issus de programmes traditionnels. Les résultats soulignent que les parcours de formation en ligne sont tout aussi efficaces et contribuent à promouvoir une plus grande équité et un meilleur accès à la profession enseignante. Mots-clés : parcours alternatifs ; ingénierie pédagogique ; apprentissage en ligne ; certification des enseignants ; obstacles à la formation des enseignants.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".