Applying Self-Determination Theory to Education: Regulations Types, Psychological Needs, and Autonomy Supporting Behaviors
Bibliographic record
Abstract
The self-determination theory (SDT) has been used to understand students’ motivation at school in general as well as in various school subjects. This literature review conducted on a number of SDT studies showed that (1) autonomous types of extrinsic motivation as well as intrinsic motivation leads to positive consequences for students; (2) the types of goals and the regulation behind them are also important to predict school outcomes; (3) when the psychological needs for competence, autonomy and relatedness are satisfied this leads to autonomous motivation or autonomous goals endorsement; (4) autonomy supportive practices by parents and teachers are important catalyzers of needs’ fulfillment; (5) intervention programs designed for teachers or parents focusing on these psychological needs usually lead to greater autonomous extrinsic motivation and intrinsic motivation and better adjustment outcomes. The implication of this theory for school psychologists is underscored as well as its implications for the practice of 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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".