Teachers’ preferred methods of learning about the topic of "student motivation"
Bibliographic record
Abstract
In 1991, a needs assessment was conducted by the Southern Alberta Professional Development Consortium to determine teachers preferences for topics of professional development. Eighty-eight percent of 3000 teachers chose "Student Motivation" as their number one choice. This study and its questionnaire were specifically designed to accomplish two objectives: (1) to refine the general request for "Student Motivation" topic into specific topics desired by teachers, and (2) to gain some clarity on how teachers (in what formats) want to have this professional development delivered. Teachers in this study revealed their general preference for learning about student motivation in a collaborative manner. However, a more formal (institutional) classroom-like format was desired for some specific problems. There was evidence that teachers were not just choosing learning methods based on patterns associated with adult learners, but also in response to specific problems (without seeming to adhere to adult norms). Recommendations for both facilitators of professional development as well as those who are to be receiving it are included.
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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 | 0.010 | 0.026 |
| 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 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".