Learning About Alphabetics and Fluency: Examining the Effectiveness of a Blended Professional Development Program for Kenyan Teachers
Bibliographic record
Abstract
This study examined the effectiveness of an 18-week online blended teacher professional development program for Kenyan in-service teachers. Also, teachers received instruction on the use of an evidence-based early literacy software program for children. The 94 teachers completed two professional development training modules (alphabetics and fluency) and four surveys (one before and one after each module). Surveys assessed teachers’ confidence and knowledge consistent with the primary elements of the TPACK model (i.e., content, pedagogy, technology). Knowledge gains were observed for fluency content, but not alphabetics content. Across the program, there were gains in pedagogical knowledge and teachers’ confidence. Given the importance of technology in the present study, additional analyses involving intersections of key elements with technology were examined. Outcomes supported the importance of technological pedagogy for the overarching integrated TPACK model. Overall, the TPD and accompanying course material provided some support for teachers who struggle with literacy instruction.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".