Preparing new teachers for inclusive schools and classrooms
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
The policy of including pupils with special educational needs (SEN) in mainstream schools and classes is now firmly established in many jurisdictions worldwide. Successful implementation of such policy depends largely on teachers having the knowledge, skills and competencies necessary to make it work. This poses a considerable challenge for both teachers and those responsible for Initial Teacher Education (ITE). This article presents the results of a study investigating current Northern Ireland practitioners' perceptions of their initial ITE relative to SEN. The major question under investigation was whether they felt that their ITE prepared them to be effective teachers in inclusive settings. Findings confirm research in other jurisdictions that teachers feel unprepared for inclusion. Emerging from this are the participants' recommendations for the content and delivery of SEN courses in ITE. Their recommended model of SEN delivery is a combination of ‘permeation’ plus a ‘stand alone’ course with the focus on student characteristics, behaviour management, assessment and evaluation, and SEN legislation.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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