Online Counseling Teaching Management during the COVID-19 Pandemic for Teacher Professional Students: Classroom Action Research
Bibliographic record
Abstract
This class action research required to develop online counseling teaching. The objectives were 1) to develop a learning management plan for an online counseling unit that promotes the competency in the counseling service of teaching professional students and 2) to study the change in the competency in the counselling service after studying with the online counseling unit learning management plan. The target group was teacher professional students, faculty of education, Government University in Thailand, who enrolled in the course of educational psychology and teacher guidance, academic year 2021. The instruments used in this research were: 1) the counseling unit learning management plan 2) a model reflecting learning outcomes in the counseling unit, and 3) a knowledge test in the counseling unit. The researchers analyzed quantitative data with percentile analysis and qualitative data with content analysis. The results showed that most of the students had 70% or more of post-learning knowledge of counseling. It reflected that learning counseling is useful for future use in the teaching profession. Including observation from the practice of counseling, it was found that students were able to apply the learned skills to psychological counseling.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".