Pioneering STEM in undergraduate education: A course for pre-service teachers
Bibliographic record
Abstract
Although there have been numerous initiatives to promote and recruit students into postsecondary studies in science, technology, engineering and mathematics, traditional programs of studies for both K to 12 school and teacher education programs still lack an integrative approach to these disciplines. Addressing this concern, the Werklund School of Education of the University of Calgary started to offer a course in science, technology, engineering, and mathematics education for the undergraduate Bachelor of Education program. In this paper we discuss possibilities and constraints in implementing a STEM Education course in a pre-service teacher education program. We draw from narratives of four instructors, including the coordinator of the course, and an administrator who was actively involved in creation and approval of the course. We analyze the situation in which this course was conceived, including both national and provincial policy and discuss the philosophy of the STEM Education course. In addition, we also address some challenges experienced by administrators, instructors and students during the creation and implementation of the course.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".