Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints
Crossref DOI link: https://doi.org/10.1007/s11257-019-09234-7
Published Online: 2019-04-25
Published Print: 2019-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Azcona, David http://orcid.org/0000-0003-3693-7906
Hsiao, I-Han
Smeaton, Alan F.
Funding for this research was provided by:
Irish Research Council (GOIPG/2015/3497)
Science Foundation Ireland (12/RC/2289)
Fulbright Ireland
Text and Data Mining valid from 2019-04-25
Article History
Received: 19 April 2018
Accepted: 10 April 2019
First Online: 25 April 2019