Work

Interpretable AI techniques unveil the factors and types of at-risk early warning: a case study in K-12 online learning

Year: 2025

Type: article

Source: Data Technologies and Applications

DOI: 10.1108/dta-11-2023-0795

Authors: Jui-Long Hung, Kerry Rice, Mingyan Zhang

Institutions: Boise State University, Zhejiang Normal University

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W4410175743

FWCI: 2.841

Cites: 41

Cited by: 3

Related to: 10