Why teaching? Perspectives from first-year South African pre-service teachers
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
South African initial teacher education institutes are currently experiencing an annual increase in admissions of first-year students. In addition, the increasing attrition rate of newly qualified teachers is of concern globally. This begs the question of why students are opting for teaching as a profession. This study focuses on reasons why first-year students have opted to study teaching at a South African University. The theoretical lens used is linked to the expectancy-value theory of achievement motivation (Wigfield & Eccles, 2000). Five hundred and eighty first year students participated in a mixed methods research study. Data was analysed by using theories of career motivation categories namely altruistic, extrinsic and intrinsic reasons. The findings indicate that more than half (60%) of the participants were motivated to do teaching for altruistic reasons, followed by almost a quarter (23%) choosing teaching for extrinsic reasons and lastly 17% opting to become teachers for intrinsic reason. This paper argues that it would be prudent for initial teacher education institutes to understand students’ rationale for selected teaching to support them to complete their qualification and remain in the profession.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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