Personalised Web-based learning systems

2005 ◽  
Author(s):  
K.-D. Schewe ◽  
G. Thalheim ◽  
A. Tretiakov
Keyword(s):  
Learning Systems ◽  
Web Based ◽  
Web Based Learning

Adaptive Web-Based Learning Framework

2011 ◽  
pp. 44-52
Author(s):  
Man-Hua Wu ◽  
Herng-Yow Chen
Keyword(s):  
World Wide ◽  
Learning Systems ◽  
The Internet ◽  
Knowledge Level ◽  
Educational Materials ◽  
Web Based ◽  
Course Content ◽  
Learning Framework ◽  
Web Based Learning ◽  
The World

With the rapid growth of the Internet and the increasing popularity of the World Wide Web, web-based learning systems have become more and more popular. However, in general Web-based learning systems, learners may often get lost in the enormous educational materials (Eirinaki & Vazirgiannis, 2003; Murray, 2002). This kind of situation refers to a disorientation problem. In addition to the disorientation problem, general Web-based learning systems provide every learner with uniform course content and presentation without considering the different knowledge level of learners. Therefore, the course content may be insufficient or unnecessary for learners with different knowledge level. This kind of situation was referred to as cognitive-overhead problem by Murray (2002).

Feedback adaptation in web-based learning systems

2007 ◽  
Vol 17 (4/5) ◽  
pp. 337 ◽  
Author(s):  
Ekaterina Vasilyeva ◽  
Seppo Puuronen ◽  
Mykola Pechenizkiy ◽  
Pekka Rasanen
Keyword(s):  
Learning Systems ◽  
Web Based ◽  
Web Based Learning

scholarly journals Research on Personalized and Secured E-Learning Systems using Data Mining Technique

2019 ◽  
Vol 8 (11S) ◽  
pp. 664-667
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Learning Systems ◽  
Large Set ◽  
Data Mining Technique ◽  
Large Space ◽  
Web Based ◽  
Web Based Learning ◽  
E Learning ◽  
The Web

Data mining is the concept for extracting the appropriate data from the large set of database. In today’s world it is widely used for many applications where learning applications is one of the major part. The e-Learning is the booming technology where anyone can learn everything from any part of the world. It is the digital way of learning the concepts and does not require the help of other persons to do so. It also requires the large space for data storage such as user information, course records and course details and so on. There are lot of learning applications available on the internet among which some might be subjected to frauds. So the security is the demanding thing every users looking for to protect their details. The users also seek for flexibility of using the applications. In perspective of distributed world, the complexity and interoperability of the data brings challenges in e-learning domain.Depends upon learner’s choice, the web based learning modules were developed for the students. Thus, a holistic approach is required for achieving the personalized content since the student groups are heterogeneous in nature. In addition to, the personalized content has to be protected in order to maintain the data integrity and privacy of the users. In this work, we survey about the present scenario of the web-based e-learning systems. Initially, we present the services oriented architecture of the e-learning systems and also clearly explain the different elearning layers.Then, we portray the existing studies processed in web based e-learning systems. Finally, we discuss about the challenges still persists in web-based learning systems. This paper will guide the upcoming researchers in e-learning fields.

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