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Evaluation of the interactivity of students in virtual learning environments using a multicriteria approach and data mining.

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Title: Evaluation of the interactivity of students in virtual learning environments using a multicriteria approach and data mining.
Authors: Cobo, Angel (AUTHOR), Rocha, Rocio (AUTHOR), Rodríguez-Hoyos, Carlos (AUTHOR)
Source: Behaviour & Information Technology. Oct2014, Vol. 33 Issue 10, p1000-1012. 13p.
Subjects: Computer assisted instruction, Students, Algorithms, Learning strategies, Mathematical models, Theory
Geographic Terms: Spain
Abstract: This work seeks to provide a new multicriteria approach to evaluate and classify the level of interactivity of students in learning management systems (LMS). We describe, step by step, the complete methodological development process of the evaluation model as well as detailing the results obtained when applying it to a higher education teaching experience. This research demonstrates that the combined use of multicriteria decision methodologies and data mining prove to be particularly suitable for identifying behavioural patterns of the users through the analysis of records generated in LMS. The results reveal that the behavioural patterns in LMS offer certain indicators as to students’ academic performance, although the study does not permit to state that those students who adopt passive attitudes in these spheres may necessarily produce low academic performance. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Evaluation of the interactivity of students in virtual learning environments using a multicriteria approach and data mining.
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  Data: <searchLink fieldCode="AR" term="%22Cobo%2C+Angel%22">Cobo, Angel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rocha%2C+Rocio%22">Rocha, Rocio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rodríguez-Hoyos%2C+Carlos%22">Rodríguez-Hoyos, Carlos</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Oct2014, Vol. 33 Issue 10, p1000-1012. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Theory%22">Theory</searchLink>
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  Data: This work seeks to provide a new multicriteria approach to evaluate and classify the level of interactivity of students in learning management systems (LMS). We describe, step by step, the complete methodological development process of the evaluation model as well as detailing the results obtained when applying it to a higher education teaching experience. This research demonstrates that the combined use of multicriteria decision methodologies and data mining prove to be particularly suitable for identifying behavioural patterns of the users through the analysis of records generated in LMS. The results reveal that the behavioural patterns in LMS offer certain indicators as to students’ academic performance, although the study does not permit to state that those students who adopt passive attitudes in these spheres may necessarily produce low academic performance. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/0144929X.2013.853838
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      – Code: eng
        Text: English
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        Type: general
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      – SubjectFull: Algorithms
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      – SubjectFull: Learning strategies
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      – SubjectFull: Spain
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              M: 10
              Text: Oct2014
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              Y: 2014
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