Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/463149
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dc.coverage.spatial
dc.date.accessioned2023-02-18T11:17:42Z-
dc.date.available2023-02-18T11:17:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/463149-
dc.description.abstractTechnology is advancing day by day .Learners are opting for easy and any where access of data content method of e-learning as compared to the traditional classroom learning method .E-learning is the must adopted advanced technology through which knowledge can be acquired from anywhere no geographical barriers. The object and tools available in information and communication tool and resources provide an advantage over traditional means of Learning .Each day millions of learning objects are uploaded which is making knowledge available at one click However, the scattered and semi-organized learning resources available to the learners in various e-Learning systems are confusing learner as these learning material are distributed .Also Competent educational institutions aimed to excel from past trends and transform their strategy into new emerging technologies for quality delivery of teaching and learning.. The challenges in eLearning are How to efficiently store data ,provide security ,lack of space solution, cost of infrastructure ,installation and deployment of professionals .Also if the application software and storage are maintained on single system they form decentralized system and makes the basic idea of sharing and availability of data remotely completely collapsed .The Learning object is also location specific which further add cascading effect on their processes like update to system can be performed manually. newlineThis thesis propose the solution by suggesting a framework of cloud based model that can facilitate the process of generating personalized learning course that can organized preferences of learner and suggesting course by giving complete road map to follow that can be best suited to achieve target . newlineFor Cloud Model. First, we analyze the traditional e-learning to indicate the various components that can be archived, including the Digital Educational Materials, the Discussion Requirement, Research Demand, Teaching Function, Search Function, and Professional Knowledge Base. Furthermore, the research and
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Implementation of Framework for E Learning With Cloud Computing
dc.title.alternative
dc.creator.researcherPOOJA BIJLANI
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideJITENDRA SHEETLANI
dc.publisher.placeSehore
dc.publisher.universitySri Satya Sai University of Technology and Medical Sciences
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2017
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

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80_recommendation.pdfAttached File132.4 kBAdobe PDFView/Open
abstract.pdf102.84 kBAdobe PDFView/Open
certi.pdf185.99 kBAdobe PDFView/Open
chapter 1.pdf165.38 kBAdobe PDFView/Open
chapter 2.pdf121.82 kBAdobe PDFView/Open
chapter 3.pdf599.79 kBAdobe PDFView/Open
chapter 4.pdf308.02 kBAdobe PDFView/Open
chapter 5.pdf1.08 MBAdobe PDFView/Open
chapter 6.pdf56.37 kBAdobe PDFView/Open
contant.pdf107.18 kBAdobe PDFView/Open
reference.pdf155.67 kBAdobe PDFView/Open
title page.pdf113.99 kBAdobe PDFView/Open


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