Spending instructional time wisely: Using brief intervention probes to determine the most effective reading fluency strategy
Bibliographic record
Abstract
Single case studies are helpful in analyzing the details of implementation of an individualized intervention program (reference). Their exploratory nature can result in more case studies, which can be compared to allow for better understanding of an intervention's usefulness. This case study investigated the effectiveness of using brief intervention probes for two different evidence-based interventions to identify the most effective teaching strategy for a struggling elementary school reader. Following initial grade level placement, two intervention probes were tested by rapidly switching between them, then analyzing the data. The intervention that yielded the most gains in words correctly read (WCPM) was selected and implemented to increase the likelihood for success. Results were promising as WCPM increased by 37 words from baseline to intervention. The study provides a glimpse into a much-needed area of research regarding using brief intervention probes to determine the most effective specific interventions prior to implementation. This research provides recommendations for use within any intervention model, especially Response to Intervention.
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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 | 0.001 |
| 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) | 0.002 | 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".