Parental Involvement, Teacher-Student Relationship and the Scholastic Status of Pre-Calculus Students of Suzhou North America High School
Bibliographic record
Abstract
This study aimed at determining the scholastic status of the Pre-Calculus high school students. It also focused on determining the levels of parental involvement and teacher-student relationship as perceived by the students who passed and failed in Pre-Calculus subject during the school year 2016 - 2017, and in designing action plan for parents to help improve the scholastic status of high school students. This study used descriptive method / design. The respondents of the study involved 120 and 15 students who passed and failed respectively in Pre-Calculus subject. The research instrument used in this study was adopted from the authors in [4]. However, questions which the researcher thought not suited or relevant to this study were revised accordingly and were submitted to the experts for comments and verification. The 4th quarter Pre-Calculus grades of the respondents were used as basis for their scholastic status as to whether they passed or failed. The analysis was limited to the parental involvement in terms of parents’ implicit and explicit behavior, parents’ reinforcement and encouragement, and the teacher-student relationship. The study output was an action plan for parents’ activities based on the findings. The data were treated using the percentage distribution for the scholastic status and weighted mean for the levels of parental involvement and teacher-student relationship. The weighted mean was interpreted as follows: 4.21 – 5.00 outstanding 2.61 – 3.40 good 3.41 – 4.20 very good 1.81 – 2.60 fair 1.01 – 1.80 poor From the analysis of the data, the researcher concludes that: 1. Respondents who passed Pre-Calculus had high level perceptions on their parental involvement compared to the respondents who failed in Pre-Calculus subject. 2. Parents’ implicit and reinforcement behaviors were very good as perceived by the students who passed, while good only as perceived by the respondents who failed in Pre-Calculus. 3. Parents’ explicit and encouragement behaviors were perceived good by the students who passed in Pre-Calculus, but fair only by the respondents who failed in such subject. 4. Teacher-student relationship is very good as perceived by the two groups of respondents. 5. Respondents whose perception on their parental involvement is very high tend to have better scholastic performance.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".