How learning analytics can early predict under-achieving students in a blended medical education course
Year: 2017
Type: article
Study design: Observational Study
Source: Medical Teacher
Authors: Mohammed Saqr, Uno Fors, Matti Tedre
Institutions: Qassim University, Stockholm University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2606704687
