Undergraduate Students' Attitudes towards Online Counseling since the COVID-19 Pandemic
Bibliographic record
Abstract
The coronavirus disease 2019 (COVID-19) has left tertiary students feeling anxious, stressed, and depressed. As a result, online counseling is a new option for students seeking counseling to alleviate stress and anxiety. The aims of this study were to 1) investigate undergraduate students' attitudes towards online counseling since the COVID-19 pandemic, and 2) compare the attitudes of undergraduate students at Mahasarakham University towards online counseling since the COVID-19 pandemic, classified by gender, academic year, grade point average (GPA), faculty, experience in face-to-face counseling, and experience in online counseling. The participants were 417 undergraduate students from Mahasarakham University who were selected by using a convenient sampling method. The research instrument was the questionnaire on undergraduate students' attitudes towards online counseling. The researcher used percentage, mean, standard deviation, independent sample t-test, and one-way ANOVA to analyze the data. The findings indicated that the undergraduate students' attitudes towards online counseling were at a high level. Further, the undergraduate students' attitudes towards online counseling were statistically significant differences at a level of p<0.01 attributed to the variables of genders and GPAs.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 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) | 0.001 | 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 teacher head, 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".