Motivational Profile and Academic Achievement Among Students Enrolled in Different Schooling Tracks
Bibliographic record
Abstract
From the contextual perspective, researchers argue that the relevance and weight of motivational variables of students' functioning vary depending on different dimensions related to individual, cultural or situational characteristics. The first objective of this study examined this contention by comparing self-perceptions of competence, learning goals and judgments of usefulness of school subjects as motivational determinants of high school students' commitment and achievement according to their assignment to their learning abilities. The second objective was to compare how these variables related to academic commitment and achievement according to the type of student and two school subjects. Two-hundred-and-twenty-six high school students from a same school participated sixty-one were learning disabled students, 60 were high achievers and 105 were average students. Findings suggest that the relevance of the motivational variables did not vary much across either the type of student or the school subjects. They also support Bandura's view about the primary role of self-perceptions of competence in students' academic commitment and achievement.
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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 | 0.003 |
| 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".