Analyzing collaborative knowledge construction in secondary school biology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research investigates student collaboration in a high school biology curriculum that was based on the Knowledge Community and Inquiry (KCI) model. Using co-design, the researchers collaborated with three high school science teachers to design a curriculum where 112 grade-ten biology students collaboratively developed a community wiki about Canadian ecozones and biodiversity issues. Students then used the wiki as the primary resource for a subsequent inquiry activity. This paper analyzes students' contributions to the knowledge base, test performance, and student satisfaction to evaluate the efficacy of the KCI model. A new method of analysis for collaborative wiki artifacts was developed to measure student interaction in the wiki. We found that students who were higher contributors to the knowledge base performed better on a post-test than students who were measured as low contributors. Our findings suggest that the KCI model is a promising mechanism for supporting both collaborative and individual learning.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it