Impacting Pre-service Teachers’ Attitudes toward Inclusion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite federal mandates to educate students with disabilities in the least restrictive environment, teachers continue to have mixed feelings about their own preparedness to educate students with disabilities in the general education setting. However, research has documented that teachers with more positive attitudes toward inclusion are more likely to adjust their instruction and curriculum to meet individual needs of students and have a more positive approach to inclusion. With inclusion becoming the norm in today’s schools, teacher educators are now faced with the challenge of making significant changes to educational programs in preparing pre-service teachers to be ready to meet the needs of all students. These programmatic changes mirror the continuous melding transformations in progress now in traditional general education and special education programs. However, there is limited information about how these new teacher educator programs influence pre-service teachers’ confidence or attitudes toward inclusive education as future teachers. To investigate this influence of teacher preparation programs on pre-service teachers’ attitudes toward inclusion, a survey method was used to collect data from pre-service teachers in one teacher-preparation program. The responses from pre-service teachers were analyzed indicating that pre-service teachers from this particular teacher preparation program in which general education curricula were infused with special education curricula in special education survey courses had improved positive attitudes and confidence toward inclusion. The implications of this study for practice and future research are discussed.
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.
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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it