Students’ perception of conditions for self-efficacy during their internship programme. A case study of the University of Education, Winneba College for Distance And e-Learning
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
This article examines the conditions (time and supervision) in achieving self-efficacy among distance education students on internship programme in the University of Education, Winneba. The purpose of this study was to find out if the conditions of time and supervision were adequately met for distance education students on internship programme in the University of Education, Winneba (UEW) to accomplish self-efficacy. The descriptive survey design was used in conducting the study. Data was collected by means of Google Docs; questionnaires were administered via students’ WhatsApp platforms. A sample of 1,087 final year distance education students was derived for the study through the availability sampling technique. The study concluded that the condition of time allocation for OCTPs to enable UEWDESTIs to achieve self-efficacy were not adequately met in the sense that they had little time to learn more relevant teaching skills, practicalise teaching theories, participate in every activity, and practice all teaching activities learnt. In essence, UEWDESTIs would need more time to practice and develop the teaching skills necessary to become more competent teachers.
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) | 0.000 | 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