Methods for developing technological thinking skills in the pupils of profession-oriented schools
Bibliographic record
Abstract
© 2015, Canadian Center of Science and Education. All rights reserved. The urgency of the problem under investigation is due to the fact that technological thinking skills are today one of the important conditions of polytechnic education and professional orientation of the pupils of different types of schools. Technological thinking contributes to the development of pupils' innovative and inventive abilities, as well as promotes the scientific level of education. The purpose of the current article is to reveal different methods for developing technological thinking skills of the pupils of contemporary profession-oriented schools. These methods are based on the development laws of the features of profession-oriented schools and are focused on the pupils, prone to technological activities. The authors conclude that the considered training methods and techniques stimulate the development of technological thinking skills of the pupils, as well as spark their interest in technological, encourage the broad scientific and cognitive activity that characterizes general labor education of profession-oriented schoolchildren.
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.
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 | 0.015 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.001 | 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".