Computer Skill Requirements for New and Existing Teachers: Implications for Policy and Practice
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
The integration of technology into the classroom is a major issue in education today. Many national and provincial initiatives specify the technology skills that students must demonstrate at each grade level. The Government of the Province of Alberta in Canada, has mandated the implementation of a new curriculum which began in September of 2000, called Information and Communication Technology. This curriculum is infused within core courses and specifies what students are “expected to know, be able to do, and be like with respect to technology” (Alberta Learning, 2000). Since teachers are required to implement this new curriculum, school jurisdictions are turning to professional development strategies and hiring standards to upgrade
 teachers’ computer skills to meet this goal. This paper summarizes the results of a telephone survey administered to all public school jurisdictions in the Province of Alberta with a 100% response rate. We examined the computer skills that school jurisdictions require of newly hired teachers, and the support strategies employed for currently employed teachers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 |
| 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