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Sequence Compulsive Incremental Updating of Knowledge in Learning Management Systems

  • Conference paper
7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 172))

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Abstract

Growing popularity of Learning Management Systems (LMS) coupled with setting up of variety of rubrics to evaluate methods of Learning, Teaching and Assessment Strategies (LTAS) by various accreditation boards has compelled many establishments/universities to run all their courses through one or the other forms of LMS. This has paved way to gather large amount of data on a day to day basis in an incremental way, making LMS data suitable for incremental learning through data mining techniques. The data mining technique which is employed in this research is clustering. This paper focuses on challenges involved in the instantaneous knowledge extraction from such an environment where streams of heterogeneous log records are generated every moment. In obtaining the overall knowledge from such LMS data, we have proposed a novel idea in which instead of reprocessing the entire data from the beginning, we processed only the recent chunk of data (incremental part) and append the obtained knowledge to the knowledge extracted from previous chunk(s). Obtained results when compared with teachers handling the modules/subjects match exactly with the expected results.

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Author information

Authors and Affiliations

  1. College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

    Syed Zakir Ali & Nisar Hundewale

  2. Department of Studies in Computer Science, University of Mysore, Mysore, India

    P. Nagabhushan

  3. Amphisoft Technologies Private Limited, Coimbatore, India

    R. Pradeep Kumar

Authors
  1. Syed Zakir Ali
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  2. P. Nagabhushan
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  3. R. Pradeep Kumar
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  4. Nisar Hundewale
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Corresponding author

Correspondence to Syed Zakir Ali .

Editor information

Editors and Affiliations

  1. Staffordshire University, FCET, Stafford, ST18 OAD, United Kingdom

    Lorna Uden

  2. Department Computer Science and, Artificial Intelligence, Universidad Granada, C/ Periodista Daniel Saucedo Aranda s/n, Granada, 18071, Spain

    Francisco Herrera

  3. , Faculty of Computer Science, Pontificial University of Salamanca, C/Compañía 5, Salamanca, 37002, Spain

    Javier Bajo Pérez

  4. Department of Computing Science, and Control, Universidad Salamanca, Plaza de la Merced, s/n s/n, Salamanca, 37008, Spain

    Juan Manuel Corchado Rodríguez

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Ali, S.Z., Nagabhushan, P., Pradeep Kumar, R., Hundewale, N. (2013). Sequence Compulsive Incremental Updating of Knowledge in Learning Management Systems. In: Uden, L., Herrera, F., Bajo Pérez, J., Corchado Rodríguez, J. (eds) 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Advances in Intelligent Systems and Computing, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30867-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-30867-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30866-6

  • Online ISBN: 978-3-642-30867-3

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