Using Story-based Virtual Experiment to Help Students Building Their Science Process Skills
Why this work is in the frame
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Bibliographic record
Abstract
Science Process Skills are what students use to solve scientific problems. This research designs a virtual experiment environment (V.E.E.) to help students building their science process skills by doing virtual experiments. To motivate students practicing their science process skills, this research designs virtual experiment which integrates story elements into the virtual experiment environment and asks students solving the problem described in the story. Students solve the problem by following the Seven Problem Solving Stages. Each stage helps students practicing different science process skills, e.g. observing, formulating hypothesis, and classifying. To reduce teachers working loads, teachers only need to focus on designing the story backgrounds and establishing the connections between story elements and Physics experiment elements. The virtual experiment environment can automatically generate the virtual experiments in which the seven problem solving stages are embedded. A practical system with a complete example is demonstrated at the end of this paper.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it