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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>An enhanced framework to design intelligent course advisory systems using learning analytics</text>
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              <text>Academic analytics; Framework; Learning analytics; Personalized system; Reference model</text>
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              <text>Education for a person plays an anchor role in shaping an individuals career. In order to achieve success in the academic path, care should be taken in choosing an appropriate course for the learners. This research work is based on the framework to design a course advisory system in an efficient way. The design approach is based on overlapping of learning analytics, academic analytics, and personalized systems. This approach provides an efficient way to build course advisory system. Also, mapping of course advisory systems into the reference model of learning analytics is discussed in this paper. Course advisory system is considered as enhanced personalized system. The challenges involved in the implementation of course advisory system is also elaborated in this paper.  Springer Science+Business Media Singapore 2017.</text>
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          <name>Creator</name>
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              <text>Vaidhehi V.; Suchithra R.</text>
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              <text>Advances in Intelligent Systems and Computing, Vol-468, pp. 723-732.</text>
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              <text>Springer Verlag</text>
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              <text>2017-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-10-1675-2_71" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-10-1675-2_71&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISSN: 21945357; ISBN: 978-981101674-5</text>
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              <text>English</text>
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              <text>Vaidhehi V., Department of Computer Science, Christ University, Bengaluru, Karnataka, India; Suchithra R., Department of Computer Science, Jain University, Bengaluru, Karnataka, India</text>
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