Relationship between students’ academic self-concept, intrinsic motivation, and academic performance
Bibliographic record
Abstract
This study examined the relationship between academic self-concept, intrinsic motivation, and academic performance of Senior High School students. A quantitative approach using a descriptive cross-sectional survey design was used in the study. A multi-stage sampling technique was used to select 346 participants. The results showed that students who had a positive perception of their academic self-concept were more likely to be intrinsically motivated. Intrinsic motivation and academic self-concept also predicted students’ academic performance. While the results from the study revealed that academic self-concept and intrinsic motivation are great recipes for predicting students’ academic success, it must be emphasized that academic self-concept and intrinsic motivation generally do not operate in isolation. Therefore, educators who wish to improve the academic performance of the students especially among Senior High School students must consider paying attention to other factors that affect students’ learning. Implications for policy and practice have been discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".