Meeting Teacher Expectations in a DL Professional Development Programme - A Case Study for Sustained Applied Competence as Programme Outcome
Bibliographic record
Abstract
<p class="1">Meeting teacher expectations for a professional development programme (PDP) is expected to strengthen sustainable applied competence as programme outcome since teachers will be more motivated to apply the programme content in practice. A revised distance learning (DL) programme was augmented by a practical component comprising a work-integrated portfolio and audio-visual material, aimed to support the applied competence of practising teachers in the South African context. An evaluation of the way the programme measured up to teacher expectations was deemed critical for future DL programme design. A qualitative study based on an interpretivist philosophical approach collected data of teacher expectations <em>for </em>and <em>of</em> the practical component through multiple methods. Their contributions were linked with four main themes related to applied competence as identified in the literature. Participant expectations and experiences with regards to each theme were compared by means of electronic coding through ATLASti™. The findings show a strong correlation between expectations <em>for</em> and experiences <em>of </em>the way the practical component supports the elements of applied competence. Since DL is viewed as a viable and cost effective way to improve teacher competence in developing countries, these findings serve as impetus for further investigation and refining ways to support applied competence in a distance learning professional development programme (DL PDP).</p>
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How this classification was reachedexpand
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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".