By Konstantina Chrysafiadi, Maria Virvou
This booklet goals to supply vital information regarding adaptivity in computer-based and/or web-based academic structures. to be able to make the scholar modeling procedure transparent, a literature overview relating scholar modeling innovations and techniques up to now decade is gifted in a unique bankruptcy. a singular scholar modeling technique together with fuzzy common sense options is gifted. Fuzzy good judgment is used to immediately version the training or forgetting means of a scholar. The awarded novel scholar version is liable for monitoring cognitive kingdom transitions of newbies with admire to their growth or non-progress. It maximizes the effectiveness of studying and contributes, considerably, to the difference of the educational procedure to the training velocity of every person learner. hence the ebook offers very important details 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 by myself academic purposes and clever tutoring systems.
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Extra resources for Advances in Personalized Web-Based Education
The appropriate approach for knowledge representation makes easier the selection of the appropriate educational material satisfying the student’s learning needs. The most common used techniques of knowledge domain representation in adaptive tutoring systems are hierarchies and networks of concepts. A hierarchical knowledge representation is usually used in order to specify the order in which the domain concepts of the learning material have to be taught (Chen and Shen 2011; Siddara and Manjunath 2007; Vasandani and Govindury 1995), and can be implemented through trees (Kumar 2005; Geng et al.
Hence, currently they may be partly known or completely unknown. Therefore, the knowledge representation approach has to allow the system to recognize either the domain concepts that are already partly or completely known for a learner, or the domain concepts that s/he has forgot, taking into account the learner’s knowledge level of the related concepts. Therefore, the representation of dependencies between the domain concepts of the learning material includes imprecise and uncertain information.
This operation is based on human subjectivity and conceptualizations. That is the reason for the need of fuzzy logic. Therefore, there are many researchers that have used fuzzy logic techniques in student modeling to deal with uncertainty in the student’s diagnose. For example, Xu et al. (2002) have used fuzzy models to represent a student profile in order to provide personalized learning materials, quiz and advices to each student. Furthermore, Kavcˇicˇ (2004a) have succeeded to provide personalization of navigation in the educational content of InterMediActor system through the construction of a navigation graph and the adoption of fuzzy logic into student reasoning.