Develop Tay and Nung Students' Communication Skills with Secondary School Experiential Activities
Bibliographic record
Abstract
Effective communication skills enable individuals to express themselves clearly, engage in meaningful interactions, and navigate the complexities of today's interconnected world. Purpose: This study encompassed a varied group of participants from multiple regions, including schools in Thai Nguyen Province, Bac Can Province, and Cao Bang Province, Vietnam. A total of 300 individuals participated, evenly divided between 150 teachers and 150 students.The research methodology in this study encompassed two distinct sets of questions, each carefully designed to serve specific purposes and directed towards both teachers and Tay-Nung secondary school students. The results reveal that experiential activities are a common and engaging part of secondary school education in the Northern mountainous region of Vietnam. The majority of students show high interest and participation in these activities. Teachers and students perceive that these activities significantly contribute to various communication skills development. Moreover, awareness of school managers and teachers, the ability of teachers to organize activities, school facility conditions, student interest, parental involvement, and social coordination play vital roles in the effectiveness of experiential activities for communication skill development. These findings collectively provide valuable insights into the dynamics of experiential learning in this region. By embracing experiential activities and addressing the identified factors, educators and administrators have the potential to enhance communication skills among students, preparing them for success in various aspects of their lives. The study's implications extend to educational settings beyond the Northern mountainous region, offering a blueprint for the integration of experiential activities in communication skills development programs.
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.
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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".