Innovative Design of Integrated Experimental Teaching under the Guidance of Learning Outcomes
Bibliographic record
Abstract
The concept of "people-oriented" education emphasizes that teachers pay attention to students' learning ability and level in the teaching process. On this basis, a set of innovative and practical experimental courses is designed to improve students' comprehensive quality and skill training. Based on the learning outcome, this paper analyzes and studies the effect of applying three-dimensional space to chemistry learning, and puts forward corresponding suggestions. After that, this paper innovatively designes the comprehensive experimental teaching model and testes and analyzes the design system. The analysis results showed that the mean time to failure (MTBF) value varied from day to day. Day 2 had a relatively low MTBF (12 hours), while day 6 had a relatively high MTBF (24 hours). The change of MTBF value indicates the stable operation of the system. This shows that the application of three-dimensional space in teaching to a wider range of disciplines can promote the development of students' ability and knowledge level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".