Collective Immersive Simulations: A New Approach to Learning and Instruction of Complex Biology Topics
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 paper presents the design of an immersive simulation and collective inquiry activity for exploring evolutionary concepts in a Grade 11 Biology course. Researchers and a high school science teacher co-designed a curriculum around a room-sized simulation of a rainforest. Using several large displays stitched together on each wall of the room, we created an immersive rainforest environment in which students worked collaboratively as field researchers to observe changes in life forms over two hundred million years and gathered evidence of evolution. The complex sequence of student interactions within the EvoRoom environment, as well as all materials, including large immersive displays, aggregated visualizations, and tablet applications were carefully designed as short inquiry activities that complemented the broader curriculum. This paper presents our designs over two iterations in terms of several key features that enhanced students' collective immersive experience and learning of evolutionary biology.
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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 | 0.000 | 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 | 0.000 | 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 it