Teacher Candidates Perceptions of a Course Assignment Designed to Support a Teacher Performance Assessment
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
To guide and support teacher candidates in developing the knowledge and skills they need in the classroom, teacher preparation programs must prepare students in acquiring the experience and expertise needed to demonstrate mastery of general knowledge in the specific subject or content area. In addition, teacher preparation programs must support candidates in maintaining knowledge of professional preparation and education competence that will guide student development. Therefore, faculty in teacher preparation programs are critical in supporting pre-service teachers in acquiring and developing the knowledge and skills in order to be effective and efficient in the classroom and to meet licensure requirements. To support the alignment of early childhood coursework in a teacher preparation program with a Teacher Performance Assessment (edTPA), the purpose of this study was to determine the efficacy of a redesigned course assignment that was intended to support the edTPA. The findings indicated that there are opportunities for candidates to develop their practice through course assignments that are aligned with the language and expectations of the edTPA.
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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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