Teaching Zebrafish Development in a STEM-Based Science Camp for Middle School Students.
Bibliographic record
Abstract
Zebrafish have been used as an education tool for students of all ages and can be used in many learning environments to teach different fields of science. In this study, we focus on the biology of zebrafish. We describe an educational program within a weeklong science camp for students between 12 and 14 years old. The methodology described is based on running annual science camps over an 11-year period. In these camps, students learnt about the developmental stages of zebrafish, as well as general zebrafish biology, husbandry, ecology, behavior, and reproduction. This article describes how to provide students and educators with an educational program to explore, discover, and contribute to the ever-evolving landscape of biological understanding through active and visual learning. We describe the methodology, the evaluation, revisions to our program over time, and future directions for expansion.
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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 | 0.000 |
| 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 | 0.001 | 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".