Predicting Student Performance in a Collaborative Learning Environment.
Year: 2015
Type: article
Source: Grantee Submission
Institutions: Carnegie Mellon University, Ruhr University Bochum
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: closed
OpenAlex ID: W2300733940