Leveraging New Technologies for Professional Learning in Education: Digital Literacies as Culture Shift in Professional Development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Providing just-in-time job-embedded professional learning using a technologically mediated model achieves professional growth goals and encourages teachers to build digital literacy competencies and incorporate new technologies in instructional approaches in the classroom. This article highlights the lessons learned from an award-winning professional learning program developed by the Advanced Broadband Enabled Learning program (ABEL), a Research and Innovation initiative at York University in Toronto, Canada. Ongoing research into this program reveals that teachers who are learning via technologies refine their understanding of digital literacy, and develop curriculum designs and instructional strategies that facilitate differentiated instruction through digitally mediated designs, increase student engagement in learning, and improve student achievement.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it