Work

Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints

Year: 2019

Type: article

Source: User Modeling and User-Adapted Interaction

DOI: 10.1007/s11257-019-09234-7

Authors: David Azcona, I-Han Hsiao, Alan F. Smeaton

Institutions: Dublin City University, Insight SFI Research Centre for Data Analytics, Arizona State 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

Funders: Science Foundation Ireland, Irish Research Council

Awards: G1153224280, G5098725405, INSIGHT - Irelands Big Data and Analytics Research Centre

OpenAlex ID: W2940725132

FWCI: 9.341

Cites: 60

Cited by: 123

Related to: 10