Educational Management of Innovative Pedagogical Process in Higher Education Institutions (HEIs)
Bibliographic record
Abstract
The article proves that one of the objectives of the contemporary high school is developing the potential of all participants of the pedagogical process, giving them opportunities for revealing creative abilities. Such a change in the role of education in society has led to innovative processes. We distinguish the following elements of innovative activity in HEIs: the goal (increasing the efficiency of resource use in the HEIs), the content (the processes of creating and applying the innovations, including regular ones) and the product (the quality of training the graduates of the HEIs). We also identified the following types of innovation: organizational, processive and productive, which are the subjects of innovative activity in the HEIs. Under these circumstances, the planning and application of innovations are considered as the area of involving teachers into innovation activity. We specified the factors increasing the number of innovative activities: organizational and technological preparation of creating innovations is considered pre-innovation activity; the production of innovations depends on research and scientific work; the application of innovations includes the stages of implementation, design and dissemination. We distinguished contextual, educational, scientific and innovative processes and the process of strategic development of human potential. We identified the prospects of researching the innovative environment of HEIs as a condition for effective innovative activity of teachers. Generally, the structure of indirect management of the innovative process includes the main stages of the reflexive regulation of searching a new idea: the stages of criticism, conscious rethinking and normalization of the activity. The organizational structure of such management includes the following stages: diagnostic, regulatory, analytical and verification. Knowledge of the varieties of structures and their main stages is necessary to define the whole system of reflective management, because the innovation process consists of micro-innovation processes, which need to be adjusted in communication. We analysed the basic structural components of the authors’ technology of managing the innovation process at the department level as a structural part of НЕІs.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".