Performance Measurement and Accommodation: Students with Visual Impairments on Pennsylvania's Alternate Assessment
Bibliographic record
Abstract
Introduction This study investigated the use of accommodations and the performance of students with visual impairments and severe cognitive disabilities on the Pennsylvania Alternate System of Assessment (PASA)γÇöan alternate performance-based assessment. Methods Differences in test scores on the most basic level (level A) of the PASA of 286 students with visual impairments, grouped into one of three functional vision levels, in grades 3/4 or 7/8 were analyzed descriptively as well as inferentially using the non-parametric Kruskal-Wallis and ad hoc Mann Whitney U tests. In addition, teachers of students with visual impairments viewed the videotaped assessments of 257 of these students to record accommodations used. Accommodations data were analyzed for patterns and relationships with test item types. Chi-Squares were calculated. Results There was a significant difference in test scores by functional vision level, with students who predominantly use vision performing significantly better than students who use a combination of vision and other senses or use other senses in place of vision. The accommodations used generally matched a student's reported level of functional vision with layout and presentation accommodations being the most prevalent. Discussion The types of accommodations selected may be due to the structure of alternate assessments but also raise questions about what is a progression in reading for students who do not access pictures and print with vision. Differences in performance raise questions of accessibility vs. ability and the level of difficulty of test items when accommodations are used. Implications for practitioners Practitioners should advocate for guidance from alternate assessments on accommodation use that mirrors the intent of test items and consider how state alternate standards translate when tasks addressing those standards are adapted for students with visual impairments. Test developers should consider students with visual impairments when designing and interpreting alternate assessment test items.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".