Design of a teachers’ training workshop for improving technology integration skills
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
Educationists and researchers recommend integration of simulations in classrooms to promote student-centric constructivist learning. The simulations need to be carefully designed toward improvement ofconceptual understanding of students. In this paper, we report on a training workshop for teachers with the specific goal of imparting simulation integration skills for classroom teaching. In the workshop, we used SEQUEL, a freely downloadable circuit simulator, and focused on electronic circuits taught typically at the second-year undergraduate level. We applied education technology principles as well as constructivist alignment methods to design the workshop. In particular, collaborative learning strategies such as think-pair-share and peer instruction were covered specifically for the intended simulation integration. Furthermore, application of the flippedclassroom model in the context of circuit simulation was explained to the participants. We report on the workshop design in detail and report the impact of the training workshop on integration skills of the teachers. We found that teachers (N=15) perceived the workshop to be usefulin designing their aligned lesson plans. Teachers also reported their field study in which they found improved motivation of students to solve electronics circuit problems.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it