Bibliographic record
Abstract
The book provides new conceptual frameworks to understand good practice in the field of mobile learning. The book fills a gap in the current literature by drawing on examples of best practice from leading schools in the United States, Canada and Australia. The author visited thirty educational sites and interviewed over 100 eminent teachers, principals, district superintendents and academics in the three aforementioned countries to study the implementation of mobile devices such as smartphones and tablets in teaching and learning. During that period evidence and exemplars on issues that currently challenge educators worldwide such as modern pedagogies, digital citizenship, institutional change, equity and professional development were collected. The book presents a large number of case studies illustrating an effective integration of mobile learning and other technologies into the curriculum. The contents include topics that are at the core of current attempts by educators to meet the demands of 21st century learning. The book-Addresses issues related to the delivery of mobile learning (e.g., smartphones, tablets)-Presents real life scenarios from leading practitioners in the United States, Canada and Australia-Introduces a four-conversion model for whole-school school transformation-Provides principals with practical strategies to create effective communities of practice-Provides teachers with best practice examples and recommendations for using mobile devices in teaching and learning-Suggests practical activities and insights as to how to implement digital citizenship in schools
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".