Detecting students-at-risk in computer programming classes with learning analytics from students’ di...
Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints
About this item
Full title
Author / Creator
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
Subjects
More information
Scope and Contents
Contents
Different sources of data about students, ranging from static demographics to dynamic behavior logs, can be harnessed from a variety sources at Higher Education Institutions. Combining these assembles a rich digital footprint for students, which can enable institutions to better understand student behaviour and to better prepare for guiding student...
Alternative Titles
Full title
Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2214668927
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2214668927
Other Identifiers
ISSN
0924-1868
E-ISSN
1573-1391
DOI
10.1007/s11257-019-09234-7