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Output details

11 - Computer Science and Informatics

University of Portsmouth

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Article title

Disengagement Detection in Online Learning: Validation Studies and Perspectives

Type
D - Journal article
Title of journal
IEEE Transactions on Learning Technologies
Article number
-
Volume number
4
Issue number
2
First page of article
114
ISSN of journal
1939-1382
Year of publication
2011
URL
-
Number of additional authors
1
Additional information

<16>This work shows that disengagement models can be developed for different online learning environments using the same attributes commonly logged, i.e. information logged by most online systems such as pages visited and time spend on each page. Models using the same attributes were experimentally validated for two different learning environments. Most models tend to be built for specific learning environments and this research makes a significant step towards building models that can be generalized to a variety of online learning systems. Our work in this area of building a generalizable model of engagement has so far received over 100 citations.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-