FUTURE SKILL DEVELOPMENT IN UNDERGRADUATE STUDENTS THROUGH WORK IN STEM OUTREACH
Bibliographic record
Abstract
This paper represents the experience and self-reported skill development of undergraduate Science and Engineering outreach instructors, who were working primarily online during the global pandemic in 2020. This work is part of a larger multi-year project designed to articulate the learning and employability skills gained by a pan-Canadian group of undergraduates, by way of theirtraining and work experience as youth program Instructors delivering STEM outreach activities for youth. The development of these skills was measured using a post-program survey, in which undergraduate instructors were asked a number of questions about their skill development. Instructors noted development most significantly in (1) teamwork and collaboration; (2) adaptability and flexibility: (3) communication, (4) leadership, (5) innovation and creativity, and (6)initiative. A significant theme noted was the learning that took place from the sudden shift to teaching remotely and working through a pandemic. Although the focus of STEM Outreach research & evaluation is often on the impact of the program on its participants, this work demonstrates the value of the instructor experience, and how this work can leverage other post-secondary initiatives designed to prepare undergraduates for their careers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".