Speech Communication Skills Perspective of Students: Basis for School Academic Performance
Bibliographic record
Abstract
The study aims to investigate the speech communication skills perspective of students as a basis for school academic performance.It also analyzes the speech communication skills perspectives of students in their school academic performance as to correct body language, utilization of correct medium of conversation, speaking confidence and delivery, and speech communication skills perspective.Mixed method is utilized in the study which explores Focus Group Discussion with triangulation for both quantitative and qualitative approach.Likewise, purposive sampling is employed in gathering of data and selection population of the study.The study comprised One Hundred Twenty (120) respondents only.Results show that correct body language is essential in speech communication like proper hand gesture, eye to eye contact to match the communication tone process of speaking, utilization of correct medium of conversation shows to evolve proper techniques on dissemination and development of the correct medium of instruction among students, speaking confidence and delivery shows to speak with confidence and provides better interaction and communication process point of view in the delivery message, and speech communication skills perspective shows to examine the assessment learning as to core competency, expected learning outcome, and student-centered learning and teaching.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".