A case study of E-Learning initiatives in New Zealand's secondary schools
Bibliographic record
Abstract
There is a shift occurring in education systems around the world, which could change the face of education as we have known it through blended and online learning. E-Learning offers opportunities and possibilities that were unknown to educators over a decade ago. Countries, states, and school districts are implementing online and blended learning environments to offer world class educational opportunities to all students no matter their zip code or socio-economic status. In general, research in the field of K-12 online learning has focused on the United States and Canada. However, an international survey of online learning in initiatives conducted by the International Association of K-12 Online Learning (iNACOL) in 2006 showed that other countries were implementing online learning initiatives with different approaches. This survey provided a snapshot of 15 countries e-learning initiatives; however, there is very little research that further describes what is happening in each of these countries, validating the need for further research in the area of K-12 online learning initiatives. The purpose of this study will be to describe the current e-learning initiatives and projects for students in secondary schools in New Zealand. The research looked at both the policy and practices happening within New Zealand.s education system as the iNACOL survey showed them to be one of the most innovative countries in the area of K-12 online learning, which may help other countries implement their own e-learning initiatives. The research design was based on a case study format, with qualitative data. A total of 19 people participated in interviews for the study. The data collection instrument was an interview protocol to guide face-to-face and online learning of Ministry of Education officials and secondary school principals and teachers. The findings of the research indicate that New Zealand has been successful in implementing online learning initiatives because it started with schools and educators needing to fulfill basic needs in order to survive. These grassroots movements are now reforming the way they educate students in all learning environments in New Zealand.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".