Table 1 Data used in training and testing.

From: Influence of artificial intelligence on higher education reform and talent cultivation in the digital intelligence era

Data type

Data source

Training data volume

Processing method

Test data volume

Educational resource data

MOOC platform

(https://www.icourse163.org/)

6,500

Missing value completion (mean filling), denoising

1,625

National wisdom education platform for higher education (https://www.chinaooc.com.cn/)

3,300

Feature scaling, sample balance

825

Teaching mode data

Higher Education Student Information Network of China

(https://www.chsi.com.cn/)

100,000

Standardization processing, feature scaling

25,000

China Higher Education Quality Monitoring Platform (https://udb.eqea.edu.cn/passport/portal/index.html)

60,000

Stratified sampling, regularization

15,000

Student behavior data

Local Ministry of Education public records (http://www.moe.gov.cn/)

59,050

Outlier processing, smoothing processing, data merging

14,762

Back to article page