MétaCan
Menu
Back to cohort
Record W2740036466 · doi:10.5206/eei.v27i1.7748

Faculty Preparedness to Teach Students with Learning Disabilities: Developing an Instrument to Assess Faculty Perceptions

2017· article· en· W2740036466 on OpenAlexaffvenue
Kathryn D. Hansen, Debra Dawson, Jacqueline Specht

Bibliographic record

VenueExceptionality Education International · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsWestern University
Fundersnot available
KeywordsPreparednessPsychologyPerceptionMedical educationSurvey instrumentHigher educationTask (project management)PedagogyApplied psychologyMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.175
GPT teacher head0.503
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueExceptionality Education InternationalSame topicDisability Education and EmploymentFrench-language works237,207