The Impact of a Nanotechnology-Based Training Program on the Development of Digital Competencies among High School Biology Teachers
Bibliographic record
Abstract
This study aimed to investigate the impact of a training program based on nanotechnology applications on the development of digital competencies among high school biology teachers. There is a gap between teachers' current digital competencies and the skills needed to effectively leverage nanotechnology in biology education. The study found statistically significant differences between pre-test and post-test scores on a digital competency assessment after teachers completed the nanotechnology training program. The program encompassed fundamental nanoscience knowledge, biology-specific applications, digital skills training, and hands-on activities. Results showed a large effect size, indicating the substantial impact of the intervention on enhancing teachers' digital competencies. Recommendations highlight integrating nanotechnology into science curricula and emphasize biology connections, problem-solving, content creation, and ethical considerations regarding advanced nanomaterials. Promoting teacher motivation and scientific inquiry is vital. The research addresses an urgent need to equip biology educators with digital skills aligned with rapidly evolving science and technology.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 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 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".