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E-Learning 3.0: Anyone, Anywhere, Anytime, and AI

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Book cover New Horizons in Web Based Learning (ICWL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7697))

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Abstract

The concept of e-Learning 2.0 has become well established and widely accepted. Just like how e-Learning 2.0 replaced its predecessor, we are again on the verge of a transformation. Both previous generations of e-Learning (1.0 and 2.0) closely parody the prevalent technologies available in their kin Web versions (1.0 and 2.0, respectively). In order to acquire a better perspective to assess what technologies will be available in the Web 3.0 and therefore e-Learning 3.0, we take a historical glance at the previous generations of e-Learning and theWeb. We then survey some existing predictions for e-Learning 3.0 and finally provide our own. Previous surveys tend to identify educational needs for e-Learning, and then discuss what technologies are required to satisfy these needs. Educational needs are an important factor, but the required technologies may not reach fruition. Gauging past trends we take the reverse approach by first identifying technologies that are likely to be brought forth by the Web 3.0, and only then looking at how these technologies could be utilized in the learning domain. In particular, we pin-point Artificial Intelligence (more specifically Machine Learning and Data Mining) as a major driving force behind the Web 3.0. We therefore examine the influence that AI might exert on the development of e-Learning 3.0.

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Author information

Authors and Affiliations

  1. University of Electro-Communications, Tokyo, Japan

    Neil Rubens & Toshio Okamoto

  2. Tokyo Institute of Technology, Tokyo, Japan

    Dain Kaplan

Authors
  1. Neil Rubens
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  2. Dain Kaplan
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  3. Toshio Okamoto
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Editor information

Editors and Affiliations

  1. Dickson Computer Systems, 7A Victory Avenue, 4th Floor, Homantin, Kowloon, Hong Kong

    Dickson K. W. Chiu

  2. Faculty of Education, The University of Hong Kong, Pokfulam, Hong Kong

    Minhong Wang

  3. Faculty of Automation, Computers and Electronics, University of Craiova, Boulevard Decebal 107, 200440, Craiova, Romania

    Elvira Popescu

  4. City University of Hong Kong, Hong Kong, China

    Qing Li

  5. City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong

    Rynson Lau

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© 2014 Springer-Verlag Berlin Heidelberg

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Rubens, N., Kaplan, D., Okamoto, T. (2014). E-Learning 3.0: Anyone, Anywhere, Anytime, and AI . In: Chiu, D.K.W., Wang, M., Popescu, E., Li, Q., Lau, R. (eds) New Horizons in Web Based Learning. ICWL 2012. Lecture Notes in Computer Science, vol 7697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43454-3_18

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  • DOI: https://doi.org/10.1007/978-3-662-43454-3_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43453-6

  • Online ISBN: 978-3-662-43454-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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