By Konstantina Chrysafiadi, Maria Virvou
This ebook goals to supply very important information regarding adaptivity in computer-based and/or web-based academic structures. as a way to make the coed modeling procedure transparent, a literature overview relating pupil modeling suggestions and methods up to now decade is gifted in a distinct bankruptcy. a unique scholar modeling procedure together with fuzzy common sense ideas is gifted. Fuzzy good judgment is used to instantly version the training or forgetting technique of a scholar. The provided novel pupil version is answerable for monitoring cognitive country transitions of inexperienced persons with recognize to their growth 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. consequently the e-book offers vital details 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 info for Advances in Personalized Web-Based Education
Furthermore, according to Papageorgiou (2011), in the past decade, FCMs have gained considerable research interest and are widely used to analyze causal systems such as system control, decisionmaking, management, risk analysis, text categorization, prediction etc. However, the contribution of FCMs to the knowledge representation of an adaptive tutoring system has not been discussed before. Taking into account the above, there is the need to represent the knowledge dependency relations between the individual domain concepts of the domain knowledge.
A thorough study and comparison of the adaptive and/or personalized tutoring systems that were presented in this chapter give answers to the above two questions. The presented adaptive and/or personalized tutoring systems have been developed from 2002 up to now (2014). 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.
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.