By Konstantina Chrysafiadi, Maria Virvou
This booklet goals to supply vital information regarding adaptivity in computer-based and/or web-based academic platforms. that allows you to make the scholar modeling procedure transparent, a literature assessment touching on scholar modeling suggestions and ways in the past decade is gifted in a different bankruptcy. a unique scholar modeling process together with fuzzy common sense strategies is gifted. Fuzzy good judgment is used to instantly version the training or forgetting strategy of a pupil. The offered novel pupil version is chargeable for monitoring cognitive nation transitions of newbies with admire to their development or non-progress. It maximizes the effectiveness of studying and contributes, considerably, to the variation of the training method to the educational speed of every person learner. hence the booklet presents very important 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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Advances in Personalized Web-Based Education
This booklet goals to supply vital information regarding adaptivity in computer-based and/or web-based academic structures. on the way to make the scholar modeling approach transparent, a literature assessment relating pupil modeling options and methods prior to now decade is gifted in a unique bankruptcy.
- Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014)
- Development of the Syntax-Discourse Interface
- Fuzzy Equational Logic
- Introduction to semi-supervised learning
- Natural Language Processing as a Foundation of the Semantic Web (Foundations and Trends in Web Science)
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Extra resources for Advances in Personalized Web-Based Education
Example text
1 Applications of Fuzzy Logic in Student Modeling The aim of the adaptive and/or personalized tutoring systems is to readjust each time the instructional process and the teaching strategy considering the student’s needs and abilities. 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.
The particular module has been introduced in ITS but its use has been extended to most current educational software applications that aim to be adaptive and/or personalized. To enable communication between system and learner at content level, the domain model of the system has to be adequate with respect to inferences and relations of domain entities with the mental domain of a human expert (Peylo et al. 2000). Therefore, the knowledge domain representation in an adaptive and/ or personalized tutoring system is an important factor for providing adaptivity.
Mostly of them (96 %) are results of Scopus, which is the world’s largest abstract and citation database of peer-reviewed literature. Scopus is considered as one of the most valid search engine for research papers. Furthermore, a respectable number of these systems have been evaluated. The rest systems, which have not been evaluated, are trends that have not been established yet. The results of this literature review are very interesting and useful for the researchers, designers and developers of educational systems and student models.