[E-Learning Goes Semantic Web]

By

ACKNOWLEDGEMENT

I would take this opportunity to thank my research supervisor, family and friends for their support and guidance without which this research would not have been possible

DECLARATION

I, [type your full first names and surname here], declare that the contents of this dissertation/thesis represent my own unaided work, and that the dissertation/thesis has not previously been submitted for academic examination towards any qualification. Furthermore, it represents my own opinions and not necessarily those of the University

Signed __________________ Date _________________

ABSTRACT

As the internet and mobile applications are getting an important role in our lives, usage of mobile services also took place in educational field since the internet is widespread, which is usually called by the terms “e-learning” or “distance learning”. A known issue on e-learning is all the content's being online and less face-to-face communication than traditional learning; this brings the problem of chasing student's success, and advising and managing student's way of studying. Hence, a recent hot topic, data mining, can be applied on student's data left on e-learning portals to guide the instructor and advisors to help students' being more successful. Recent researches done on this topic showed that e-learning combined with data mining can decrease the gap between itself and traditional learning - referred as semantic web mining in general.

TABLE OF CONTENTS

ACKNOWLEDGEMENTII

DECLARATIONIII

ABSTRACTIV

CHAPTER 1: INTRODUCTION1

Purpose of the study2

CHAPTER 2: LITERATURE REVIEW3

Semantic Web3

Defining the Semantic Web3

Web Services4

Layers5

Realizing the Semantic Web9

Education Technology9

Educational Technology and Student Motivation12

Educational Technology Use in Schools and Classrooms13

Adaptive Instruction and Testing17

The Concept of Mobile Learning18

Application Analysis Of Mobile Learning In Education And Teaching20

Pleasant Education based Game Learning21

Discussion based Cooperative Learning22

CHAPTER 3: METHODOLOGY28

CHAPTER 4: RESULTS29

Influences of factors30

A. E-learning Experience30

B. Age30

C. Option Leader30

D. Mobile Devices Using Confidence31

Suggestions for Mobile Learning Designer31

A. Excellent Learning Source's Quality32

Breadth of information32

The depth of information32

3) Information presentation level33

B. The Terminal Software Interface Humanness33

C. Flexible Interactive34

Recommendation35

CHAPTER 5: DISCUSSION & CONCLUSION37

REFERENCES39

CHAPTER 1: INTRODUCTION

Semantic Web provides an environment where software agents can navigate through Web documents and perform sophisticated tasks. In this context, we can observe a great demand for Semantic Web-based applications (Berners-Lee et al., 2001) due to its robustness on providing rich data description mechanisms, such as ontologies (Gruber, 1993). In this manner, researchers and industry use Semantic web inside their web applications to express information accurately. As a consequence, software agents become able to process, share, reuse and understand the terms being described and take better decisions according to the information processed by Semantic Web tools, for example, Semantic search engines (Devedzic, 2004).

Semantic Web requires explicit declaration of knowledge by using ontologies to make information understandable to computer in the Web. In some applications, it is also necessary to provide services that machines and intelligent agents can understand, select, compose and invoke automatically. This is possible through the use of Semantic Web Services (McIlraith et al., 2001), the focus of this work.

To be able to minimize this gap between e-learning and traditional learning, all advantages of mobile services are in use but there comes a point that instructor needs to follow each ...