Psychological Aspects of Effective Communication between Teachers and Students in Online Learning
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 study focuses on the psychological aspects of effective communication between teachers and students in online learning. The relevance lies in the need to understand the challenges that arise in the process of virtual communication and identify ways to overcome them. The purpose of the study is to analyse the main psychological aspects of effective communication between teachers and students in the context of using an online learning environment. The research methodology involves the use of statistical methods, content analysis, theoretical and comparative analysis. The study used surveys, small group interviews, and observation. A systematic selection procedure was used to select the respondents, aimed at forming a representative and informative sample. The participants of this study include 121 teachers and 70 students from higher education institutions in Ukraine. The results demonstrate the main learning platforms and messengers used for communication. The level of efficiency of their use is also determined. The key factors affecting the psychological comfort of participants were also identified and recommendations for improving communication effectiveness were developed. The results emphasise the importance of psychological readiness for digital change, the use of active engagement strategies and a digital diet to ensure psychological resilience. The study highlights the problems of lack of non-verbal cues and virtual communication fatigue, recommending the use of art therapy and isotherapy to alleviate psychological difficulties. The general conclusions emphasise the importance of conscious use of digital technologies to ensure successful online communication and psychological well-being of all participants in the learning process.
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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 | 0.003 | 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 | 0.001 |
| 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 it