• DocumentCode
    162580
  • Title

    Taxonomy of E-Learning Challenges and an Insight to Blended Learning

  • Author

    Shailaja, J. ; Sridaran, R.

  • Author_Institution
    Fac. of Comput. Studies, National Acad. for Learning, Bangalore, India
  • fYear
    2014
  • fDate
    6-7 March 2014
  • Firstpage
    310
  • Lastpage
    314
  • Abstract
    The application of information technology in education has the undoubted potential to upsurge the quality of teaching and dexterity in learning. E-learning is rapidly growing from solely training to guarantee its role in the overall learning strategy. It is inclusive of a maximum number of participants with a range of preferences, and needs. Owing to e-learning´s brisk development, it is worthy to confer how to improve the performance and expand the application of on-line learning by endowing a systematic classification. The taxonomy provided in the paper can help researchers and developers to meet permissible and regulatory requirements for retrieving specific information within a set timeframe, and for easier study. This paper also lists the potential challenges under each category and as a solution to most common ones, blended learning techniques are proposed.
  • Keywords
    computer aided instruction; information retrieval; pattern classification; teaching; blended learning techniques; dexterity; e-learning brisk development; e-learning challenges; information retrieval; information technology; learning strategy; online learning; systematic classification; teaching; training; Computers; Electronic learning; Internet; Materials; Real-time systems; Software; E-learning; blended learning; learning styles; personalized learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing Applications (ICICA), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICICA.2014.70
  • Filename
    6965062