A Structured Approach to Developing Open-Ended Scientific Research Projects for Secondary Students in a Graduate Student-Led Education Program
Bibliographic record
Abstract
Discovery is an educational program where engineering graduate mentors develop and implement inquiry-based learning projects aligned with secondary school science curriculum over a semester with feedback from secondary school educators. Ongoing development of new inquiry-based projects is essential for maintaining relevance within evolving STEM curricula and accommodating increasing numbers of program participants. However, graduate mentors face challenges developing and delivering new curricula due to research commitments and varying levels of teaching experience. We introduce a standard, generalized template with specific success criteria for the structured development of new projects that incorporate open-ended research aspects into each project. We outline this template using a recent Chemistry project and evaluate the new curriculum against success criteria to identify areas for continuous, iterative improvement. We anticipate this template will provide greater support and organization for graduate mentors when designing new projects, enabling development of relevant materials that are well-aligned with current science curricula.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".