The Predictive Power of the Pre-Service Teachers’ Self-Efficacy Beliefs upon Their Preparedness to Teach
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 aim of this study is to reveal the relationship between pre-service teachers’ self-efficacy beliefs and preparedness to teach. In this context, the model of the research is the relational screening model. The sample of the study consisted of 407 fourth grade pre-service teachers who were studying in a state university. Data were collected using three types of data collection tools. These, personal information form, self-efficacy belief scale and being ready for teaching. In the analysis of the data, correlation analysis, descriptive and multiple linear regression analysis were used. As a result of the research, it was determined that the pre-service teachers’ readiness and self-efficacy beliefs were high. In the study, it was found that there was a moderately significant and predictive relationship between the pre-service teachers’ self-efficacy belief and preparedness to teach. Various suggestions have been made based on the results of the research.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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