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Optimizing Student Engagement in Online Learning Environments: Intuitionistic Fuzzy Logic in Student Modeling
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Author(s): Mukta Goyal (Jaypee Institute of Information Technology, India)and Rajalakshmi Krishnamurthy (Jaypee Institute of Information Technology, India)
Copyright: 2018
Pages: 33
Source title:
Optimizing Student Engagement in Online Learning Environments
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)
DOI: 10.4018/978-1-5225-3634-5.ch009
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Abstract
In today's scenario, e-learning has become a significant part of the academic environment as well as of the corporate training sectors. Advancement in Information and Communication Technologies (ICTS) has brought new intersection of education, teaching, and learning that defines e-learning. E-learning systems deliver information for education at any time and at any place in an efficient manner. E-learning system consists of course content or learning materials in the form of nodes. These nodes are linked such that users can traverse the other nodes in the hypermedia environment. These learning concepts are available synchronously and asynchronously in different ways of representation. This presents learning materials in a disorganized manner to the learners. Due to this, learners may decline to adapt the learning material or may deviate from their goals. This requires a user model to respond to different needs of a learner. To handle the uncertainty of learner's mind while learning the concepts an intuitionistic fuzzy approach is used.
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