Work

A data portrait-based approach to precision education for medical students in China

Year: 2026

Type: article

Abstract: With the rapid development of big data technology, smart campuses from medical universities of China have accumulated a large amount of student behavior data. How to extract hidden and valuable information from a large amount of data has become a problem faced by medical universities of China. This study constructed a framework for the portrait model of medical university students of China, which includes 5 dimensions: identity and organizational data, learning data, economic data, and health and interest data. These data are sourced from the smart campus information system of medical universities of China. Then, K-means clustering method is used to calculate these data, extract the characteristic attributes of students, and construct accurate student data portraits. This study uses big data profiling technology to accurately describe the digital characteristics of students, providing reference for the educational environment of medical universities.

Source: Medicine

DOI: 10.1097/md.0000000000047664

Authors: Shaojie Yu, Xuehong Ju, Chunguang Ling

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,950

Funders: Ministry of Education of the People's Republic of China, Chinese Medical Association