Writing and iPads in the early years: Perspectives from within the classroom
Bibliographic record
Abstract
Abstract Writing is a complex and effortful activity and recent surveys indicate that fewer children are enjoying writing or engaging in writing outside of school. Yet compositional writing is a part of the primary curriculum and is an essential part of education. This small‐scale international study aimed to garner the views of primary school teachers and children on using iPads in teaching compositional writing and how this writing differed from using paper and pencils. Three teachers and classes of primary school children in Northern Ireland and in the Republic of Ireland participated in the study. Individual interviews with the teachers, focus groups with the children and child‐led virtual tours of the iPad were all used to gather perspectives. All participants reported on the benefits of using iPads to teach compositional writing. These included fun and enjoyment, greater choice and creativity, the value of multimodal communication and assistance with spelling. However, all participants also advocated a balanced approach to the teaching of compositional writing.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".