August 7, 2025

Research on College Students Course PerformanceAnalysis Based on Decision Tree Algorithm andIndustry-Education Integration Model

View Full Paper

Ask AI

Bookmark

The decision tree algorithm improves course performance analysis by efficiently classifying various student factors.
Traditional assessment methods struggle with predictive limitations, highlighting the need for advanced analytical techniques.
The proposed framework aligns educational output with workforce needs through the industry-education integration model.
Experimental results indicate that decision tree approaches surpass traditional methods in both accuracy and interpretability.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Analysis reveals enhanced prediction accuracy for course performance in students using decision tree algorithms and an industry-education integration model.

Cite This Study

Q Wang (2025) studied this question.

synapsesocial.com/papers/689a0fa0e6551bb0af8d1a0d https://doi.org/10.21203/rs.3.rs-7117919/v1

View Full Paper

Ask AI

Bookmark

Implication

Analysis reveals enhanced prediction accuracy for course performance in students using decision tree algorithms and an industry-education integration model.

Research on College Students Course PerformanceAnalysis Based on Decision Tree Algorithm andIndustry-Education Integration Model

Key Points

Discussion

Implication

Cite This Study

Research on College Students Course PerformanceAnalysis Based on Decision Tree Algorithm andIndustry-Education Integration Model

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider