The Development of University Students’ Self-Sufficiency Based on Interactive Technologies by Their Immersion in the Professional Activity
Bibliographic record
Abstract
The article discusses the problems of using web technologies in the development of self-sufficiency of University students. We hypothesize that real professional situations in which he/she is obliged to work independently on the basis of web technologies contribute to the development of students’ self-sufficiency. It is shown that the activity approach to learning, based on the use of project learning technologies in the process of preparing for lessons by learners and interactive technologies of blended learning, promotes the development of independence and self-reliance of students on the basis of web technologies. This article contains a matrix of integration of interactive technologies in the process of independent work of students. This will allow the teacher to select the tools for Moodle Leaning Management System in order to successfully implement the interactive forms and education methods in independent work of students in the conditions of turning down the monologue-based oral presentation of training material by the teacher. For assessment of the effectiveness results of research we carried out a survey of Bachelors of pedagogical education. The article presents the results of the survey of four-year students confirming the results of the study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".