Teacher Attitudes to Professional Development of Proficiency in the Classroom Application of Digital Technologies
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
<p class="apa">The paper deals with research focused on the opinions and attitudes of biology teachers on the application of digital technologies in the process of learning and teaching. The respondents were teachers, who participated in the national project called “Modernization of the Educational Process in Elementary and Secondary Schools” realized in Slovakia between 2008–2013.</p><p class="apa">We briefly describe the course and the contents of individual modules, which were focused on the development and acquisition of specific skills in the field of effective use of modern educational technology. The key role in the methodical preparation of teachers was played by the 3rd module, which aimed to present the teachers with the examples of meaningful and methodically well prepared application of digital technologies in the teaching process, especially in connection with current digital educational contents and the curriculum of biology subject.</p><p class="apa">The second part of the study includes analysis of satisfaction among the course participants with the content, level of expertise and difficulty level of the course, as well as the analysis of their opinions and attitudes on usability of created and available model methods in the real school practice. In conclusion, we present suggestions which could, facilitate improving the quality of biology teaching in schools, in order to reflect the real needs of society.</p>
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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 | 0.001 |
| 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 | 0.001 |
| 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