Development of Higher Education Institutions and Online Communication with Students in Modern Conditions
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
The conditions that have developed in the educational sphere since the beginning of the Russian military aggression in Ukraine have significantly complicated the implementation of the educational process, the establishment of professional communication – from contacts with the immediate environment to global and intercultural ties. The stress burden experienced by both teachers and students includes the forced relocation of participants of the educational process to other regions, the participation of teachers and students in hostilities, territorial defence units and volunteer movements, the loss of relatives and friends, etc. In such conditions, teachers in higher educational institutions should react quickly and take corrective measures in order to restore professional and pedagogical communication. The purpose of the academic paper is to characterize, clarify the advantages, disadvantages and determine the features of certain types of online communication of higher educational institutions with students in modern conditions. In the course of the present research, a number of general and special methods of analysis of scientific sources were applied, as well as an online survey was used to study the standpoint of participants of the educational process, namely, students and teachers of higher educational institutions, regarding the features of online communication of higher education institutions with students in current conditions. Based on the results of the research, the main characteristics of the communication processes taking place in the online mode in higher education were studied, and the standpoint of the participants of the educational process regarding the priority components of the organization of the educational online system was clarified.
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.
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 | 0.000 |
| 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 | 0.000 |
| 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