FCM-Based Modeling of LMS Users' Quality of Interaction

FCM-Based Modeling of LMS Users' Quality of Interaction

Copyright: © 2015 |Pages: 33
DOI: 10.4018/978-1-4666-8705-9.ch014
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Part III is concluded with this chapter that proposes a Fuzzy Cognitive Map (FCM)-based modeling of the Quality of Interaction (QoI) of the Learning Management System (LMS) users within a blended (b)-learning context, namely FCM-QoI model. Two training/testing scenarios were conducted and explored here, i.e., time-dependent and time-independent, using as pre-validated QoI data the ones presented in chapter 13. Moreover, a FCM-Viewer application that facilitates the visualization of the FCM-QoI model structure is also presented. The experimental results show that the proposed FCM-QoI model can provide concepts interconnection and causal dependencies representation of LMS users' interaction behavior. With this chapter, the circle around the basic fuzzy logic topics discussed in Part II, i.e., FIS, ANFIS, IFIS and FCM, injected into the educational context is fulfilled. Based on the models discussed so far, prospective hybrid modeling approaches are envisioned in the final section of the book (Part IV) that follows.
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The Rationale Behind The Fcm-Qoi Model

In general, FCMs can model causal relationships in complex systems that evolve with time (see chapters 8 and 9). From this line, several studies have shown how FCMs can provide an understanding of problematic domains or systems and/or knowledge for strategic purposes in terms of maximization of benefits, minimization of risks and management issues (e.g., Sharif & Irani, 2006; Rodriguez-Repiso et al., 2007; Glykas, 2013; Jetter & Sperry, 2013). Similarly, here, the use of FCMs in modeling the QoI of the LMS users within b-learning environment can provide a “strategic mapping” to better understand the particular domain of higher education in an interconnected way of thinking.

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