Analysis of the Mediating Effect between Digital Learning Ability and Learning Performance of Online Learning Inputs in an Anatomy and Histology Course for Higher Vocational Nursing Students under the "Three Combinations and Three Forms" Multi-integrated Teaching Model
Bibliographic record
Abstract
Based on the "Three Combinations and Three Forms" multi-integrated teaching model, the mediating role of online learning inputs in Anatomy and Embryology course between digital learning ability and learning performance was investigated for higher vocational nursing students. Using the Basic Information Form, Digital Learning Competency Scale, Learning Performance Scale and Online Learning Input Scale for senior nursing students, 813 groups of valid questionnaires were analyzed using SPSS 26.0 software for descriptive statistical analysis, t-test, ANOVA, Pearson's analysis, and Bootstrap analysis of mediation effect. The results showed that the online learning input, digital learning ability and learning performance of the Anatomy and Embryology course were significantly correlated with those of the senior nursing students in the "three combinations and three forms" multifaceted fusion teaching mode.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".