Intelligent System for Selecting Optimum Instructional Style(s) Based on Fuzzy Logic to Develop a Courseware (ISSIDC)
Intelligent System for Selecting Optimum Instructional Style(s) Based on Fuzzy Logic to Develop a Courseware (ISSIDC)
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Date
2013
Authors
Mohamed Fadlalla Elhag
Awad Haj Ali Ahmed
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Abstract
Instructor’s teaching experience or
instructional style (INST) is an essential factor in the
knowledge transfer for T-learning [1], so in this paper I tried
to cope (INST) in E-learning system as well. Specifically, this
paper proposed (Methodological approach based on Fuzzy
logic to Select the Optimum Instructional style(s) for
Designing a Specific E-learning system” (MFSOI-DSE). The
proposed (MFSOI-DSE) extends the fuzzy logic concepts
and techniques in E-learning field, explicitly, in selecting an
optimum (INST) for developing a specific courseware. In
this paper I proposed a new procedure for representing the
(INST) in quantitative values instead of qualitative
description, using Frame of cognition/knowledge. In this
paper, a conducted case study using the proposed procedure
has met the selection of INST for developing a specific
courseware with an expertise decision. Moreover, the
paper specified the best software tools for building an
automated system based on the above mentioned procedure
in order to facilitate the (MFSOI-DSE).The topic of this
paper lies on a multidisciplinary area of research, so it needs
a solid background in computer science, Fuzzy logic and
Instructional design field. Finally, I hope this paper will
improve the quality of the E-learning systems based on IQP
(Instructional Quality Profile) [1].