scholarly journals E-Learning: A Milestone in the Research of Data Mining

2012 ◽  
pp. 82-86
Author(s):  
Sabyasachi Pattnaik ◽  
Jui Pattnayak ◽  
Priyaranjan Dash
Keyword(s):  
Data Mining ◽  
Web Service ◽  
Learning Environments ◽  
System Architecture ◽  
Functional Model ◽  
Application Domain ◽  
Service Architecture ◽  
Web Based ◽  
Web Based Learning ◽  
E Learning

Data Mining and Data Warehousing are two most important techniques for pattern discovery and centralized data management in today’s technology. ELearning is one of the most significant applications of data mining. The main objective is to provide a proposal for a functional model and service architecture. The standards and system architecture are analyzed here. This paper gives importance to the integration of Web Services on the e-Learning application domain, because Web Service is the most advanced choice for distance education now. The process of e-Learning can be possible more effectively with the help of Web usage mining. More advanced tools are developed for online customer’s behaviour to increase sales, and profit, but no such tools are developed to understand learner’s behaviour in e-Learning. In this paper, some data mining techniques are discussed that could be used to enhance web-based learning environments.

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.

Supporting Evolution of Knowledge Artifacts in Web Based Learning Environments

2009 ◽  
pp. 142-167
Author(s):  
Dimitris Kotzinos ◽  
Giorgos Flouris ◽  
Yannis Tzitzikas
Keyword(s):  
Semantic Web ◽  
Learning Environments ◽  
Knowledge Creation ◽  
Common Knowledge ◽  
Learning Theories ◽  
Web Based ◽  
Knowledge Repository ◽  
Web Based Learning ◽  
E Learning ◽  
Collaborative Knowledge

The development of collaborative e-learning environments that support the evolution of semantically described knowledge artifacts is a challenging task. In this chapter we elaborate on usage scenarios and requirements for environments grounded on learning theories that stress on collaborative knowledge creation activities. Subsequently, we present a comprehensive suite of services, comprising an emerging framework, called Semantic Web Knowledge Middleware (SWKM), that enables the collaborative evolution of both domain abstractions and conceptualizations, and data classified using them. The suite includes advanced services for ontology change, comparison and versioning over a common knowledge repository offering persistent storage and validation.

Personalisation in Web-Based Learning Environments

2011 ◽  
pp. 230-250
Author(s):  
Mohammad I. Santally ◽  
Senteni Alain
Keyword(s):  
Virtual Environment ◽  
Learning Environments ◽  
Adaptive Systems ◽  
Learning Object ◽  
Current Work ◽  
Web Based ◽  
Comprehensive Review ◽  
Web Based Learning ◽  
Pedagogical Decisions ◽  
E Learning

It is postulated that one of the main problems with e-learning environments is their lack of personalisation. This chapter presents a comprehensive review of the current work in the field and proposes a framework for research in promoting personalisation in Web-based learning environments. The concepts of adaptability, adaptivity and the limitations of completely adaptive systems are discussed. The conception of more interactive environments that are both adaptable and adaptive, which can assist the teacher in making interesting pedagogical decisions while tutoring in a virtual environment is proposed. Two versions of an algorithm that can be used to offer personalisation in the framework described are developed and discussed in this chapter. The algorithm is basically a method devised to select the most appropriate learning object from a pool of potential objects that exist in the repository.

Gender Differences in E-Learning

2012 ◽  
pp. 175-191
Author(s):  
Richard D. Johnson
Keyword(s):  
Gender Differences ◽  
Learning Environments ◽  
Social Presence ◽  
Peer Communication ◽  
Web Based ◽  
Communication Processes ◽  
E Learning ◽  
Communication Differences ◽  
Using Data ◽  
Course Outcomes

Although previous research has suggested that women may be at a learning disadvantage in e-learning environments, this study examines communication differences between women and men, arguing that women’s communication patterns may provide them with a learning advantage. Using data from 303 males and 252 females, this paper discusses gender differences in course communication processes and course outcomes in a web-based introductory information systems course. Results indicate that women communicated more, perceived the environment to have greater social presence, were more satisfied with the course, found the course to be of greater value, and had marginally better performance than men. Despite the challenges facing women in e-learning environments, the results of this study suggest that e-learning environments that allow for peer to peer communication and connectedness can help females overcome some of these disadvantages. Implications for research and practice are also discussed.

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