Accuracy of Retrieval Files in Learning Objects using Cloud E-Learning

Authors

  • Akram F Department of Information Technology Shri Venkateshwara University, Gajraula, Uttar Pradesh, India
  • Kumar R Department of Engineering and Technology Shri Venkateshwara University, Gajraula, Uttar Pradesh, India

DOI:

https://doi.org/10.26438/ijcse/v6i8.241244

Keywords:

Cloud E-learning, computing for Education, Electronic Learning

Abstract

Everything stored on the cloud could potentially be a knowledge source used for e-learning. Given learners' profiles, desires and feedback on what they have already learned, a new form of personalized e-learning emerges, namely Cloud E-Learning (CeL). CeL should be able to choose from structured to totally unstructured learning material but needs to make them useful for each individual. Existing metadata standards cannot facilitate composition of personalized learning paths as a series of learning objects. In this paper, we present the structure of CeL Learning Objects (CeLLOs), which include an additional set of metadata suitable for each phase of CeL development.

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Published

2018-08-31
CITATION
DOI: 10.26438/ijcse/v6i8.241244
Published: 2018-08-31

How to Cite

[1]
F. Akram and R. Kumar, “Accuracy of Retrieval Files in Learning Objects using Cloud E-Learning”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 241–244, Aug. 2018.

Issue

Vol. 6 No. 8 (2018): IJCSE August Edition

Section

Research Article

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