Examining the psychological and behavioural patterns of students in Sri Lanka during COVID-19: A qualitative study
Bibliographic record
Abstract
Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or COVID-19 pandemic affected many international students, including the Sri Lankan youth and young adults who were studying in the United Kingdom (UK), and repatriated to the motherland during the first wave. The current study aimed to explore and understand the lived experiences, behaviour, and psychological patterns of these students during their lockdown in the UK; quarantine and self-isolation; and repatriation back to Sri Lanka. Methods: This descriptive qualitative study was planned and conducted in a quarantine environment based on the lived experiences of two authors (KA and NW), who were also repatriated students due to COVID-19 pandemic. A convenient sample of sixteen (16) repatriated students (age ranged from 18 – 34) participated in the study. Data was collected using multiple methods including questionnaires, researchers’ objective observations and semi-structured interviews (conducted over the phone or online). The thematic analysis method was used for data analysis. Results: Both positive and negative psychological and behavioural patterns were observed. Three themes emerged were: (1) Fear, worry and anxiety, (2) Irritability and agitation, and (3) Adherence to safety precautions. Many reported negative abrupt changes to their education and lifestyles during this stressful situation. Perceived stigma and emotional imbalance have caused difficulty in coping. Positive changes such as increased efficacy in academic activities, exploring new hobbies and healthy coping skills were also reported. Conclusion: Findings highlight the need for addressing age-specific behavioural, psychological, and educational needs of youth and young adults when developing guidelines to manage similar situations in the future and to increase resilience.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".