| 40670 |
Creator |
3a7e1208601d2480ab76f5a4888d255f |
| 40670 |
Creator |
c79cc1129e553cdca30fa856443ac46e |
| 40670 |
Creator |
5a8f4cdd947fbbe8ea5325f0f9503c9a |
| 40670 |
Creator |
11198bef6e7d4edae5825eeae94711dd |
| 40670 |
Creator |
44b7f5d08efc1e4311db9eb57d4f29bd |
| 40670 |
Creator |
659e52cc32c42698972152fe00cade8b |
| 40670 |
Creator |
ext-d0ad94c13cfcd9959ffd3de850b81b64 |
| 40670 |
Date |
2014 |
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Is Part Of |
repository |
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abstract |
In recent years, distance education has enjoyed a major boom. Much work at The Open
University (OU) has focused on improving retention rates in these modules by providing
timely support to students who are at risk of failing the module. In this paper we
explore methods for analysing student activity in online virtual learning environment
(VLE) - <i>General Unary Hypotheses Automaton (GUHA)</i> and <i>Markov chain-based
analysis</i> - and we explain how this analysis can be relevant for module tutors
and other student support staff. We show that both methods are a valid approach to
modelling student activities. An advantage of the Markov chain-based approach is in
its graphical output and in the possibility to model time dependencies of the student
activities.
Drahomira Herrmannova,Lucie Vachova,Jakub Kuzilek,Zdenek Zdrahal,Annika Wolff |
| 40670 |
authorList |
authors |
| 40670 |
presentedAt |
ext-2083c5fad1e053e8628205e0df62a461 |
| 40670 |
status |
peerReviewed |
| 40670 |
uri |
http://data.open.ac.uk/oro/document/250866 |
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uri |
http://data.open.ac.uk/oro/document/250867 |
| 40670 |
uri |
http://data.open.ac.uk/oro/document/250868 |
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uri |
http://data.open.ac.uk/oro/document/250869 |
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uri |
http://data.open.ac.uk/oro/document/250870 |
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uri |
http://data.open.ac.uk/oro/document/250871 |
| 40670 |
uri |
http://data.open.ac.uk/oro/document/251617 |
| 40670 |
type |
AcademicArticle |
| 40670 |
type |
Article |
| 40670 |
label |
Hlosta, Martin ; Herrmannova, Drahomira ; Vachova, Lucie; Kuzilek, Jakub ; Zdrahal,
Zdenek and Wolff, Annika (2014). Modelling student online behaviour in a virtual
learning environment. In: Machine Learning and Learning Analytics workshop at The
4th International Conference on Learning Analytics and Knowledge (LAK14), 24-28 March
2014, Indianapolis, Indiana, USA, 24-28 Mar 2014, Indianapolis, Indiana, USA.
|
| 40670 |
label |
Hlosta, Martin ; Herrmannova, Drahomira ; Vachova, Lucie; Kuzilek, Jakub ; Zdrahal,
Zdenek and Wolff, Annika (2014). Modelling student online behaviour in a virtual
learning environment. In: Machine Learning and Learning Analytics workshop at The
4th International Conference on Learning Analytics and Knowledge (LAK14), 24-28 March
2014, Indianapolis, Indiana, USA, 24-28 Mar 2014, Indianapolis, Indiana, USA. |
| 40670 |
Title |
Modelling student online behaviour in a virtual learning environment |
| 40670 |
in dataset |
oro |