Work

Learning analytics: An enabler for dropout prediction

Year: 2014

Type: article

Abstract: A key application of learning analytics is predicting students’ learning performances and risks of dropping out. Heterogeneous data were collected from selected school to yield a model for predicting student’s dropout. Results from this exploratory study conclude dropout prediction by learning analytics may provide more precise information on identifying at-risk students and factors causing them to be at risk.

Source: International Conference on Computers in Education

Authors: Shu Fen Tseng, Chih‐Yueh Chou, Zhi Hong Chen, Po Yao Chao

Institution: Yuan Ze University

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W3026413913

FWCI: 0.397

Cites:

Cited by: 3

Related to: 10