Title:
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AUTOMATIC STUDENT MODELLING FOR DETECTING LEARNING STYLE PREFERENCES IN LEARNING MANAGEMENT SYSTEMS |
Author(s):
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Sabine Graf , Silvia Rita Viola , Kinshuk |
ISBN:
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978-972-8924-48-5 |
Editors:
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Kinshuk, Demetrios G. Sampson, J. Michael Spector and Pedro Isaías |
Year:
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2007 |
Edition:
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Single |
Keywords:
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Learning Styles, Automatic Student Modelling, Felder-Silverman Learning Style Model, Learning Management Systems |
Type:
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Full Paper |
First Page:
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172 |
Last Page:
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179 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Providing adaptivity based on learning styles can support learners and make learning easier for them. However, for
providing proper adaptivity, the learning styles of learners need to be known first. While most systems, which consider
learning styles, use questionnaires in order to identify learning styles, we propose an automatic student modelling
approach, which analyses the actual behaviour and actions of students during they are learning in an online course in
order to infer students learning styles. Such an automatic approach has the advantage that students do not have any
additional effort for providing information about their learning styles. Additionally, an automatic approach can be more
accurate by excluding extraordinary behaviour of students and adapting in the case that the learning styles changed over
time. In this paper, we present an automatic student modelling approach for learning management system, which aims at
identifying learning style preferences within the four dimensions of the Felder-Silverman learning style model (FSLSM).
The approach is based on patterns derived from literature and a simple rule-based method for calculating learning styles
from the students behaviour. The proposed approach is evaluated by a study with 75 students, comparing the results of
the learning style questionnaire with the results obtained by the proposed automatic student modelling approach. As a
result, the approach is appropriate for identifying all learning style preferences within the active/reflective dimension of
FSLSM and some learning style preferences within the sensing/intuitive and visual/verbal dimension. For the
sequential/global dimension, results of learning style preferences show only moderate precision. |
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