Bibliographic record
Abstract
A first year non-majors biology course, with an enrollment of around 440 students, has been redesigned from a course of traditional content and teaching style to one that emphasizes biological concepts in current global issues and incorporates active learning strategies. We were informed by the education literature incorporating many aspects of established curriculum redesign principles and extended its application to a biology course. Systematic measurement of student attitudes and collection of student feedback through a series of surveys as well as focus group interviews proved to be invaluable in the course redesign process. The information gathered over a two-year period enabled us to fine-tune the course content and teaching strategies effectively to better meet the interests of students in the non-majors course as was documented by the evidence gathered in this research. Un cours de biologie de première année pour étudiants qui ne se spécialisent pas dans ce domaine, dans lequel étaient inscrits 440 étudiants, a été remanié. Ce cours, dont le contenu et le style d’enseignement étaient traditionnels, est devenu un cours où les concepts de biologie ont été mis en valeur dans le contexte des questions globales d’actualité, et des stratégies d’apprentissage actif y ont été incorporées. Nous avons puisé nos ressources dans les publications consacrées à l’éducation qui incorporent les principes établis de remaniement des programmes de cours et nous avons appliqué ces principes à un cours de biologie. La mesure systématique des attitudes des étudiants, les commentaires recueillis auprès des étudiants par le biais de plusieurs sondages, ainsi que les entrevues de groupes témoins, se sont avérés inestimables au cours du processus de remaniement du cours. Les renseignements recueillis pendant une période de deux ans nous ont permi d’affiner de façon efficace le contenu du cours ainsi que les stratégies d’enseignement afin de mieux répondre aux intérêts des étudiants dans des cours qui ne s’adressent pas à des spécialistes du sujet enseigné, tel que documenté par l’évidence recueillie au cours de cette recherche.
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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 | 0.250 | 0.597 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.026 | 0.020 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.012 | 0.008 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".