Using metacognitive strategies to enhance reading comprehension for students with learning disabilities / by Lynda M. Milne. --
Bibliographic record
Abstract
Research has suggested that students with learning \ndisabilities can became actively involved in their cun \nlearning. A metacognitive orientation provides a \nconceptual base on which to build instructional \ninterventions. \nIn this study twenty students with learning \ndisabilities in special classes in Thunder Bay \nparticipated. Students were From three intact classes at \ndifferent schools. Three general expectations guided the \ninvestigation: \nFirst, through explicit teaching, students with \nlearning disabilities can be instructed to employ \nself-questioning learning strategies for identification cf \nmain ideas in a reading passage; \nSecond, reading comprehension will be enhanced through \nmetacognitive training as measured by: Miscue Analysis; \nCanadian Tests of Basic Skills. Form 3 and 4:.- and \nGates-MacGinitie Reading Tests. Form 1 and g. \nThird, students who perceive an external control of reinforcements, as measured by the Intellectual Achievement \nResponsibility Questionaire, will experience more \ndifficulty using an intervention strategy. \nA simple pre-posttest design was used supplemented \nwith observational and interview methods. The \ncomprehension subtests of Gates-MacGinitie Reading Test. \nForm 1 (MacGinitie, Kamons, Koualski & MacGinitie, 1979) \nand Canadian Tests of Basic Skills. Form 3 (King & \nHieryonymus, 1975) were administered to each student and \nbaselines for reading comprehension established. Using a \nreciprocal teaching procedure, a self-questioning strategy \nwas developed while studying a Canadian novel. Hunter in \nthe Dark by M. Hughes. Miscue analysis and observation \nwere employed to monitor the training sessions. \nResults indicated that the participants? reading \ncomprehension did improve on all criteria, miscue analysis \nand Gates-MacGinitie Reading Test were at a statistical \nsignificant level. The students? belief in their own \ncontrol, as measured by the Intellectual Achievement \nResponsibility questionnaire, was found not to be a \npredictor of achievement. \nInterventions which incorporate a teaching methodology \nthat promotes strategic learning appear to hold the most \npromise for enabling students with learning disabilities to \nbecome more successful learners.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".