Scarring a Generation of School Children Through Poor Introduction of Information Technology in Schools
Bibliographic record
Abstract
Educational authorities worldwide are rapidly increasing the exposure of school children to computers. However what limited evidence is available suggests information technology is not being introduced appropriately for children and undesirable sequelae are anticipated. This paper reports on two studies on computers and children. One study investigated 24 schools in Canada and Australia and included assessments of physical environments and psychosocial environments in IT rich classrooms. A questionnaire was also completed by 1404 students. The findings included that physical aspects of computer workstations were rated poorest. The other study investigated 3 schools in Australia with mandatory laptop programs. A main finding was that 60% of the 314 students questioned reported discomfort using their computer. The potential implications of poor management of IT use by school children are discussed and suggestions made for ergonomics research. Without accurate and valid guildelines - and effective implementation of these guidelines - scarring or a whole generation of school children is predicted.
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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 | 0.001 |
| 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".