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