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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2013 Vol.1(3): 250-253 ISSN: 1793-8244
DOI: 10.7763/JACN.2013.V1.50

Evaluation Mechanism for Adaptive Education

Sonal Chawla
Abstract—Currently, much of the courseware and resources in Adaptive Education Hypermedia are unstructured and isolated from each other thereby lacking in quality too. Therefore , this research aims to provide a research framework to develop a system for the learning process which is able to store the quality content and depending on cognitive state of the student, preset a qualitative and quantitative result of their learning level. Thus, the objective of this research paper is threefolds. It firstly looks at the available literature related to tools techniques for Learning Object(LO) Evaluation and metrics Secondly, it proposes a framework for the design and dissemination of Adaptive education combining learning theory with LO evaluation systems. The paper finally concludes by identifying a relationship between the determined learning style profile, the assigned task and the chosen representation of the content.

Index Terms—Learning objects, metadata, evaluation metrics.

Sonal Chawla is with the Department of Computer Science and Applications, Panjab University, India. (E-mail: sonal_chawla@yahoo.com)

[PDF]

Cite:Sonal Chawla, "Evaluation Mechanism for Adaptive Education," Journal of Advances in Computer Networks vol. 1, no. 3, pp. 250-253, 2013.

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