Assessing K-12 broadband needs: data and industry insights
Bibliographic record
Abstract
The Internet has emerged as an indispensable tool in various facets of modern daily life. Within the realm of education, particularly in K-12 schools, its role is transformative and pivotal. The Internet’s integration has initiated a paradigm shift in the pedagogical landscape, offering an extensive array of educational resources. This transformation not only enriches the learning process but also introduces students to innovative modes of remote collaboration with peers on a global scale. Concurrently, educators increasingly rely on the Internet to access the most current and pertinent educational content, elevating the effectiveness, richness, and clarity of their instructional materials. This surge in usage has significantly increased the Internet’s role within K-12 educational settings, becoming a central catalyst in the educational development process. This paper aims to elucidate the driving forces behind this surge in Internet usage. It presents a comparative analysis of Internet utilization before and after the onset of the global pandemic, highlighting the evolution and impacts on educational practices within K-12 institutions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".