Using ICT-based Instructional Technologies to Teach Science: Perspectives from Teachers in Trinidad and Tobago.
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 purpose of this study was to investigate how science teachers in Trinidad and Tobago use ICT-based instructional technologies in classroom science teaching. The participants were 30 secondary school science teachers who completed their Postgraduate Diploma in Education within the last 2 years from the University of the West Indies in Trinidad and Tobago. The teachers were asked to prepare lesson plans which demonstrate their use of instructional technologies to teach science topics within their term’s schemes of work. They were subsequently asked to explain their reasons for using the selected instructional technologies. The findings revealed that PowerPoint was the most widely used ICT-based instructional technology in the lesson plans analyzed. Animations and hands-on practical activities were the least used ICT-based instructional technologies. Virtual labs, computer-aided simulations and smartboards, were other ICT-based instructional technologies used by a few teachers. Textbooks and whiteboards were the non-ICT-based instructional technologies teachers used.
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 | 0.002 |
| 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 | 0.002 |
| 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