Designing Age Appropriate Engineering Outreach Activities
Bibliographic record
Abstract
For over twenty years, the University of Waterloo’s Faculty of Engineering has been running outreach programming directed at elementary youth (ages 6 to 14) through its Engineering Science Quest (ESQ) summer camp program. All the activities are designed to be hands-on with the primary goal to increase participant’s interest in Science, Technology, Engineering and Math (STEM). The camp develops themes, such as ‘Outer Space’ to help motivate activity development and provide practical examples to participants.In 2010, the directors of ESQ modified the approach to develop camp outreach activities to ensure they were hands-on engaging activities related to science and engineering but also paid consideration to ensuring a secondary set of goals were met that considered the cognitive development of the children in the camp. The result was the development of hands-on outreach activities that engaged the participants in multiple ways.The motivation behind the development of outreach activities with these secondary objectives in mind were based on observation of past successes and working knowledge of the target audience.It is concluded that in order to make truly engaging and effective programming for elementary aged youth; activity developers should develop hands-on activities that incorporate both the interests of youth and their appropriate cognitive development stage. Using these methods in activity development will lead to an increase in success and a stronger impact of the programming.
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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 | 0.001 |
| 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".