Using computer-based instruction to improve Indigenous early literacy in Northern Australia: A quasi-experimental study
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
<span>The effectiveness of a web-based reading support tool, ABRACADABRA, to improve the literacy outcomes of Indigenous and non-Indigenous students was evaluated over one semester in several Northern Territory primary schools in 2009. ABRACADABRA is intended as a support for teachers in the early years of schooling, giving them a friendly, game and evidence-based tool to reinforce their literacy instruction. The classroom implementation of ABRACADABRA by briefly trained and intensively supported teachers was evaluated using a quasi-experimental pretest, post-test control group design with 118 children in the intervention and 48 in the control. Children received either a minimum of 20 hours of technology-based intervention or regular classroom teaching. Results revealed both Indigenous and non-Indigenous students who received ABRACADABRA instruction had significantly higher phonological awareness scores than their control group peers. The effect size for this difference was large (eta squared=.14). This finding remained when controlling for student attendance and the quality of general non-technology-based literacy instruction. Limitations of the study and implications for effective practice in remote and regional contexts are discussed.</span>
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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