Student-Teacher Becomes the Teacher-Student: Educator Preparation for Post-Secondary Students to Enrich High School Student STEM Learning in the Discovery Educational Initiative
Bibliographic record
Abstract
Secondary school curricula in Canada for subjects like science, technology, engineering, and math (STEM) often focus on surface-level learning. While frequently believed to be a precursor for later complex and in-depth studies, such approaches to teaching and learning fail to adequately prepare students for life outside of the classroom, including for future studies in their field of choice. In response to demands for STEM programming that inspires critical thought over rote standardizable knowledge, in 2016, Discovery was created. An interdisciplinary program operated out of the University of Toronto’s Faculty of Applied Science and Engineering, Discovery symbolizes a participatory partnership between the University of Toronto and local secondary schools to support inquiry-based learning for entire classrooms of high school students on a longitudinal basis. Discovery Instructors—consisting of multilevel post-secondary students—work alongside secondary school educators to devise problem-based projects that address key Ontario curriculum targets. Over the course of a semester, high school students are guided by university Instructors to engage in collaborative projects in biology, chemistry, and physics to expand their learning portfolios beyond the confines of a traditional classroom. However, while Discovery seeks to diversify learning for all involved, educator development for Discovery Instructors has remained largely implicit. In this study, we will introduce a teaching development course into Discovery’s Instructor preparation. Within a blended online learning environment across seven weekly modules, Instructor assessment will consist directly of discussion boards containing content- and reflection-based prompts using holistic rubrics and indirectly via mentored students’ performance. A pilot program is currently underway with a sample of enrolled Instructors with data to be collected as the program progresses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".