New PDF release: Advances in Personalized Web-Based Education

By Konstantina Chrysafiadi, Maria Virvou

ISBN-10: 3319128949

ISBN-13: 9783319128948

ISBN-10: 3319128957

ISBN-13: 9783319128955

This booklet goals to supply very important information regarding adaptivity in computer-based and/or web-based academic platforms. which will make the coed modeling strategy transparent, a literature overview referring to scholar modeling strategies and methods in the past decade is gifted in a different bankruptcy. a singular pupil modeling technique together with fuzzy good judgment thoughts is gifted. Fuzzy good judgment is used to instantly version the training or forgetting means of a pupil. The offered novel pupil version is chargeable for monitoring cognitive country transitions of inexperienced persons with admire to their development 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. for this reason the booklet offers vital 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 on my own academic functions and clever tutoring systems.

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Extra info for Advances in Personalized Web-Based Education

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Each one is preferred in relation with the system’s characteristics and the researchers needs. 1, the percentages of preferences for each one of the student modeling techniques for modeling the student’s knowledge are presented considering the above literature review. The information that is derived from the particular table is the number of the adaptive educational systems that incorporate a particular student modeling technique for the representation of the learner’s knowledge level in a set of one hundred adaptive educational systems.

For example, the stereotypes of the student model of INSPIRE (Grigoriadou et al. 2002; Papanikolaou et al. 2003) provides information about the learning style of the learner. e. e. competitive, collaborative, avoidant, participant, dependent, independent). Also, Glushkova (2008) has modeled the student’s preferences, habits and behaviors during the learning process by using stereotypes. Moreover, Carmona et al. (2008) have used a student model that classifies students in four stereotypes according to their learning styles.

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.

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

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