Early Childhood Preservice Teachers` Beliefs about E-Portfolios in the United States
Bibliographic record
Abstract
This study examined early childhood preservice teachers` beliefs about e-portfolios as an indicator of their understanding of professional teaching standards perceived through their experience in the development of an e-portfolio. Data were analyzed from 112 preservice teachers in an early childhood teacher education program in the U.S. Midwest. The results from hierarchical multiple regressions revealed that current program status and overall positive experience in the development of an e-portfolio were significant indicators of the preservice teachers` beliefs about e-portfolios reflecting their understanding of standards. The results also showed that lack of technology skills result in low understanding of the role of e- portfolios vis-a-vis the standards. The results highlight the importance of a positive experience in the development of eportfolios in helping preservice teachers better understand the standards pertaining to quality teacher education and standards-based performance. This study discusses educational implications for quality teaching and student learning promoted through the effective use of e-portfolios as a reflective tool in early childhood teacher education.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".