E-LEARNING FOR RURAL SCHOOLS<br />EASWARI ENGINEERING COLLEGE<br /> Department of Information Technology<br />NAME: SIVAKUMAR.V<br />REG NO: 1036282<br />DEPT: M.E SOFTWARE ENGINEERING<br />
PROJECT CO-ORDINATOR:<br />Dr.K.KathiravanM.Tech.,Ph.D<br />Head of the Department<br />PROJECT SUPERVISOR:<br />Mrs.A.L.AgastaAdline M.E.,(Ph.D)<br />Asst.Professor<br />
INTRODUCTION: E- Learning<br /><ul><li>What is E-Learning ?
The delivery of a learning , training or education program by electronic means.
Network-enabled transfer of skills and knowledge.</li></li></ul><li>OBJECTIVES<br />To impart e-learning in Rural Schools for providing enhanced knowledge delivery.<br />
Student Behavior and Interaction Patterns With anLMS as Motivation Predictors in E-Learning Settings<br />Student motivation is an important factor for the successful<br /> completion of an e-learning course. <br /> Detecting motivational problems for particular students at an early<br /> stage of a course opens the door for instructors to be able to provide additional motivating activities for these students.<br />This paper analyzes how the behavior patterns in the interaction of each particular student with the contents and services in a learning management system (LMS) <br />used to predict student motivation and if this student motivation<br /> can be used to predict the successful completion of an e-learning<br /> course.<br />The interactions of 180 students of six different universities<br /> taking a course in three consecutive years are analyzed.<br />
BROAD AREA OF THE PROJECTARTIFICAL INTELLIGENCE<br />Knowledge Acquisition<br />Subject matter expert<br />Knowledge Representation<br />Eg. creation of resources<br />Knowledge Encoding <br />Eg. creation of if-then structures<br />
Need for E-Learning<br />The purpose we need e-learning to get virtual education.<br />Learning occurs through connections with other learners<br />Learning is based on conversation and interaction<br />
AREA OF SPECIFICTION:<br /><ul><li>ARTIFICAL INTELLIGENCE
KNOWLEDGE MINING</li></li></ul><li> LITERATURE SURVEY<br />SMART LEARNING <br />PROBLEM BASED LEARNING<br />ADAPTIVE E-LEARNING<br />PERSONAL E-LEARNING <br />
<ul><li> ONTOLOGY EXTRACTION FOR KNOWLEDGE REUSE:THE E-LEARNING PERSPECTIVE.</li></ul>INTEGRATING EMBEDDED COMPUTING SYSTEMS INTO HIGH SCHOOL AND EARLY UNDERGRADUTE EDUCATION<br />
REFERENCE<br />http://en.wikipedia.org/wiki/E-learning<br />http://www.eco.utexas.edu/faculty/Norman/long.extra/Info.S98/Exp/intro.html<br />www.ieee.org<br /> E-learning Strategies<br /> How to get implementation and delivery right first time<br />Don Morrison<br />