Work

Analyze and Predict Student Dropout from Online Programs

Year: 2018

Type: conference-paper

Source: International Conference on Compute and Data Analysis (ICCDA)

DOI: 10.1145/3193077.3193090

Authors: Kyehong Kang, Sujing Wang

Institution: Lamar 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: W2805107713

FWCI: 2.834

Cites: 10

Cited by: 33

Related to: 10