Using fuzzy techniques to model students in Web-based learning environments

Essam Kosba; Vania Dimitrova; Roger Boyle

doi:10.1007/978-3-540-45226-3_31

Using fuzzy techniques to model students in Web-based learning environments

Essam Kosba^*
, Vania Dimitrova
, Roger Boyle

^*Awdur cyfatebol y gwaith hwn

University of Leeds

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

15 Dyfyniadau (Scopus)

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The paper illustrates how fuzzy techniques can be used to address problems experienced in widespread computing systems for distance learning. We have developed the TADV (Teacher ADVisor) framework, which builds student, group, and class models based on the tracking information generated by a Web Course Management System (WCMS) and uses these models for generating advice to the course instructors/facilitators. This paper introduces TADV and describes the fuzzy approach used for extracting individual, group and class models.

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	222-229
Nifer y tudalennau	8
Cyfnodolyn	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Cyfrol	2774 PART 2
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-540-45226-3_31
Statws	Cyhoeddwyd - 2003
Cyhoeddwyd yn allanol	Ie
Digwyddiad	7th International Conference, KES 2003 - Oxford, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon Hyd: 03 Medi 2003 → 05 Medi 2003

Mynediad at Ddogfen

10.1007/978-3-540-45226-3_31

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Dolen i’r cyhoeddiad yn Scopus

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title = "Using fuzzy techniques to model students in Web-based learning environments",

abstract = "The paper illustrates how fuzzy techniques can be used to address problems experienced in widespread computing systems for distance learning. We have developed the TADV (Teacher ADVisor) framework, which builds student, group, and class models based on the tracking information generated by a Web Course Management System (WCMS) and uses these models for generating advice to the course instructors/facilitators. This paper introduces TADV and describes the fuzzy approach used for extracting individual, group and class models.",

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year = "2003",

doi = "10.1007/978-3-540-45226-3\_31",

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AU - Dimitrova, Vania

AU - Boyle, Roger

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AB - The paper illustrates how fuzzy techniques can be used to address problems experienced in widespread computing systems for distance learning. We have developed the TADV (Teacher ADVisor) framework, which builds student, group, and class models based on the tracking information generated by a Web Course Management System (WCMS) and uses these models for generating advice to the course instructors/facilitators. This paper introduces TADV and describes the fuzzy approach used for extracting individual, group and class models.

UR - https://www.scopus.com/pages/publications/8344285064

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DO - 10.1007/978-3-540-45226-3_31

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AN - SCOPUS:8344285064

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JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

T2 - 7th International Conference, KES 2003

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Using fuzzy techniques to model students in Web-based learning environments

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