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In this paper, a novel approach to web-based education that performs individualized instruction on the domain of programming languages is presented. This approach is fully implemented and evaluated in an educational application module, called fuzzy knowledge state definer (FuzKSD). In particular, FuzKSD performs user modeling by dynamically identifying and updating a student's knowledge level of all...
E-learning poses a challenge in a pedagogical perspective such as finding ways on how to motivate the students to learn in spite of the absence of a human instructor. Many researchers in the field have proposed and implemented various mechanisms to improve the learning process such as individualization and personalization. The main objectives is to maximize learning by dynamically selecting the closest...
Mobile Learning (ML), nowadays gains more attention technically and pedagogically. This review of literature deals with the personalization issue in mobile learning, and how agents can be used to support solving this issue, the main objective of this study is to review recent and up to date studies on personalization in mobile learning and the use of agent technology to help in solving this issue...
The goal of personalization is to deliver content relevant to an individual user or a group of users based on what is known about them from their preferences and needs. The idea of personalization is applied and used widely and successfully in the world of e-commerce. The aim of this paper is to personalize student's profiles in an e-learning environment (LMS) using Java Expert System Shell known...
Personalisation is a key property for Business-to-Customer services, as well as for other types of applications, such as e-learning and information systems. Expert systems are used to personalize websites successfully in e-commerce. The aim of this paper is to integrate a Java Expert System Shell called JESS to a Learning Management System (LMS) to achieve the idea of personalization by applying JESS...
Providing personalization in e-learning process by considering the existence learning style, motivation and knowledge ability (triple-factor) can affect students performance and makes learning easier for students. The result of our preliminary study indicates that there is an impact triple-factor on learning activities in Student Centered E-Learning Environment (SCELE). It shows that the triple-factor:...
This paper presents a system for learning style based personalization of e-learning courses. The courses are created according to SCORM standard. Student learning style is defined using Felder-Silverman model. For each learning style specific adaptation actions are presented. The paper analyzes different meta-data sets for describing learning content. Presented system is added as an extension to an...
Students often need to go beyond the canned content provided by an e-Learning system's designer. A teacher usually suggests a supplementary corpus, traditionally in the form of books for optional reading and consultation. In an e-Learning context the supplementary corpus would consist of resources which are accessible over the Web, some specified by a teacher and some identified with the help of a...
The present paper describes an approach for keyword- and concept-based search of relevant learning objects and delivery of them to learners. The paper also proposes to blend the keyword- and concept-based search with personalization to increase relevancy of delivered documents to the learners preferences. The relevancy of learning object to the learner request is defined as a weighted linear combination...
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