An Exploration of Teaching Strategies Used to Teach Natural Sciences at the Science Centre in Pretoria, South Africa
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 study aimed to examine the teaching strategies employed to teach natural sciences at a science museum in Pretoria, South Africa. Science museums have collaborated with the Department of Basic Education to enhance the quality of science education in the country. A qualitative case study design was adopted to gather data from the science museum. Using a purposive sampling strategy, two education officers responsible for teaching and learning at the museum were selected as participants. Data collection methods included semi-structured interviews and observations. The findings revealed that education officers predominantly used a teacher-centred approach and a show-and-tell method to teach natural sciences. Additionally, lecturing and questioning formed a significant part of their instructional strategies. The study also noted the reliance on one-way communication methods, where learners were passive listeners and only engaged in conversation when prompted by questions. The article recommends training education officers to adopt facilitation roles and explore more effective teaching strategies. Such training could enhance the quality of natural sciences teaching and foster active engagement and deeper learning among learners.
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 | 0.010 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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