Faculty Preparedness to Teach Students with Learning Disabilities: Developing an Instrument to Assess Faculty Perceptions
Bibliographic record
Abstract
Despite increasing rates of entry, students with learning disabilities (LD) continue to face barriers to completing post-secondary education. Faculty attitudes and knowledge are important factors in supporting students with LD, yet little is known about faculty preparation. No valid, reliable, easy-to-administer inventory exists to assess the perceptions of faculty about their preparedness for the task of teaching students with LD. The Faculty Preparedness Questionnaire (FPQ) was developed to measure faculty perceptions of preparedness for teaching students with LD based on two factors: knowledge and attitude. For this study, 101 community college instructors completed the original questionnaire consisting of 22 items. After factor analysis, the 17-item FPQ was determined to be a reliable and valid instrument for the measurement of instructor attitudes and knowledge as components of their perceptions of preparedness. This research contributes to the current dialogue regarding best practice for inclusive post-secondary education.
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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 | 0.011 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".