Intelligence Semantics

Konstantina Chrysafiadi, Maria Virvou's Advances in Personalized Web-Based Education PDF

By Konstantina Chrysafiadi, Maria Virvou

ISBN-10: 3319128949

ISBN-13: 9783319128948

ISBN-10: 3319128957

ISBN-13: 9783319128955

This e-book goals to supply vital information regarding adaptivity in computer-based and/or web-based academic platforms. with the intention to make the coed modeling technique transparent, a literature overview referring to pupil modeling options and methods up to now decade is gifted in a unique bankruptcy. a singular scholar modeling process together with fuzzy common sense innovations is gifted. Fuzzy common sense is used to immediately version the training or forgetting strategy of a scholar. The provided novel pupil version is chargeable for monitoring cognitive kingdom transitions of rookies with appreciate to their development or non-progress. It maximizes the effectiveness of studying and contributes, considerably, to the difference of the training method to the training velocity of every person learner. for this reason the publication offers vital info to researchers, educators and software program builders of computer-based academic software program starting from e-learning and cellular studying structures to academic video games together with stand on my own academic purposes and clever tutoring systems.

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Extra info for Advances in Personalized Web-Based Education

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Chrysafiadi and Virvou (2012) have showed that the integration of fuzzy logic into the student model of an ITS can increase learners’ satisfaction and performance, improve the system’s adaptivity and help the system to make more valid and reliable decisions. Consequently, fuzzy logic techniques are able to analyze the students’ knowledge level, needs and behavior and to make the right decision about the instructional model that has to be applied for each individual learner. The issue of fuzzy logic and how it can be used in student modeling are presented in the remainder of this chapter.

However, other emotions, like boredom, tiredness and distraction, have negative effect on the learning process and lead students to an off-task behavior (Rodrigo et al. 2007), which are associated, usually, with deep motivational problems (Baker 2007). Off-task behavior means that students’ attention becomes lost and they engage in activities that have anything to do with the learning process and aim (Cetintas et al. 2010), like surfing the web, devoting time to off-topic readings, talking with order students without any learning aims (Baker et al.

Metacognitive features allow the students to participate more actively to her/his own learning processes. Thereby, adaptive and/or personalized tutoring systems must consider students’ meta-cognitive skills. Although the field of meta-cognitive students’ features is a new field of research, a number of attempts to model the meta-cognitive feature of students have been made. Conati et al. (2002) have tried to monitor and encourage selfexplanation of students that learn Newtonian physics using Bayesian networks.

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Advances in Personalized Web-Based Education by Konstantina Chrysafiadi, Maria Virvou

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