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A model conception for optimal scenario determination in an intelligent learning system

A model conception for optimal scenario determination in an intelligent learning system In this paper a conception of the model for learning scenario determination is presented. We define the learning scenario as a sequence of the hypermedia pages, representing particular knowledge units, and tests related to them. The scenario determination is a dynamic process that begins when a new student takes up a course. The opening scenario for this student is chosen as the consensus of the final scenarios of the students, who have already finished this course, and who belong to a class of the learners similar to the new one. We have elaborated the consensusbased procedure for the scenario determination. Since this procedure operates on a set of similar learners, we have developed the conceptions of learners profile and students classification. The learners profile is proposed to include the attributes describing students personal data as name, birthday etc., their cognitive and learning styles as well as their usage data represented by the learning scenarios. The students classification is based on a set of the basic attributes that seem to influence the learning effects. Their significance is verified during the learning process. We have also elaborated the procedure of reducing undistinguishable values of the attribute and removing useless attributes from the set of basic attributes. A learning procedure proposed, describes generally the situations when the scenario is modified, and the methods used for its modification. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Interactive Technology and Smart Education Emerald Publishing

A model conception for optimal scenario determination in an intelligent learning system

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1741-5659
DOI
10.1108/17415650480000021
Publisher site
See Article on Publisher Site

Abstract

In this paper a conception of the model for learning scenario determination is presented. We define the learning scenario as a sequence of the hypermedia pages, representing particular knowledge units, and tests related to them. The scenario determination is a dynamic process that begins when a new student takes up a course. The opening scenario for this student is chosen as the consensus of the final scenarios of the students, who have already finished this course, and who belong to a class of the learners similar to the new one. We have elaborated the consensusbased procedure for the scenario determination. Since this procedure operates on a set of similar learners, we have developed the conceptions of learners profile and students classification. The learners profile is proposed to include the attributes describing students personal data as name, birthday etc., their cognitive and learning styles as well as their usage data represented by the learning scenarios. The students classification is based on a set of the basic attributes that seem to influence the learning effects. Their significance is verified during the learning process. We have also elaborated the procedure of reducing undistinguishable values of the attribute and removing useless attributes from the set of basic attributes. A learning procedure proposed, describes generally the situations when the scenario is modified, and the methods used for its modification.

Journal

Interactive Technology and Smart EducationEmerald Publishing

Published: Aug 31, 2004

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