Evaluating Teachers' Learning, Perceptions, and Cultural Differences Following Professional Development for Early Literacy Software
Bibliographic record
Abstract
The present study examined the impact of professional development training on Canadian and Kenyan teachers’ confidence, comfort, and perceptions of their abilities to teach early literacy skills in the primary or elementary grades. Data were collected prior to and following training on how to integrate early literacy software as part of ongoing in-class instruction. Domain and technology constructs consistent with Mishra and Koehler’s (2006) technology integration model were assessed, as were perceptions related to delivery pacing. Overall, outcomes reflected more similarities than differences across the two groups of teachers. Limitations in foundational knowledge regarding concepts specific to early literacy were evident in both groups, despite higher levels of perceived confidence in Kenyan teachers compared to Canadian teachers in some content areas. Perceived comfort using technology and teaching with technology were highly correlated, with no differences observed across teacher groups. Pacing was perceived to be faster for Kenyan teachers compared to Canadian teachers. Implications for professional development in this domain are discussed.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".