Practice of Internet Plus Mind Map in Ophthalmology Nursing Teaching
Bibliographic record
Abstract
To explore the feasibility and effect of internet plus's mind map in ophthalmology nursing teaching. Eighteen nurses were selected from August 2022 to August 2023 in Inner Mongolia Forestry General Hospital. They were set as the experimental group in the teaching stage of mind mapping in internet plus and the observation group in the traditional teaching stage. The differences between the two groups were compared by questionnaire feedback. The experimental group and the control group were superior to the control group in problem-solving ability, learning efficiency, self-learning ability, memory and understanding ability and literature reading ability. There is no statistical difference between the experimental group and the control group in clinical thinking, learning interest, teamwork ability, doctor-patient communication ability and nursing skill operation. The application of internet plus mind map in ophthalmology nursing teaching is feasible, which can significantly improve the problem-solving ability, learning efficiency, self-learning ability, memory and understanding ability and literature reading ability of nursing students, and is worth popularizing.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".