By Konstantina Chrysafiadi, Maria Virvou
This booklet goals to supply vital information regarding adaptivity in computer-based and/or web-based academic platforms. as a way to make the coed modeling approach transparent, a literature evaluate referring to scholar modeling ideas and methods up to now decade is gifted in a unique bankruptcy. a singular scholar modeling method together with fuzzy common sense concepts is gifted. Fuzzy good judgment is used to immediately version the educational or forgetting strategy of a pupil. The provided novel pupil version is answerable for monitoring cognitive country transitions of beginners with admire to their development or non-progress. It maximizes the effectiveness of studying and contributes, considerably, to the difference of the educational approach to the educational velocity of every person learner. as a result the booklet offers very important info to researchers, educators and software program builders of computer-based academic software program starting from e-learning and cellular studying platforms to academic video games together with stand on my own academic purposes and clever tutoring systems.
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Additional resources for Advances in Personalized Web-Based Education
E-learning systems offer easy access to knowledge domains and learning processes from everywhere for everybody at any time. As a result, users of web-based educational systems are of varying backgrounds, abilities and needs. Therefore, the e-learning systems and applications have to offer dynamic adaptation to each individual student. Adaptation is performed through the student model. In particular, the student model is a core component in any intelligent or adaptive tutoring system that is responsible for identifying and reasoning the student’s knowledge level, misconceptions, abilities, preferences and needs.
That is the reason why in real classroom settings, experienced teachers and professors observe and react accordingly to the emotional state of the students in order to motivate them and improve their learning process (Johnson et al. 2000; Lehman et al. 2008). Therefore, adaptive and/or personalized educational systems should detect the emotional state of students and adapt its behavior to their needs, giving an appropriate response for those emotions (Katsionis and Virvou 2004). These emotional factors that influence learning are called affective factors.
10 the knowledge level of the domain concepts C14, C8 and C9 is affected by the learner’s knowledge level on the concept C15). The dependence relations allow the tutoring system to identify how the knowledge level of a concept is affected by the learner’s knowledge level on other related concepts. A dependence relation is characterized by the symbol ‘+’ or the symbol ‘−’ and a number (strength of impact). The symbol depicts the order in which the two related concepts are delivered to the learner.
Advances in Personalized Web-Based Education by Konstantina Chrysafiadi, Maria Virvou
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