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Editorial note: Learning management systems and big data technologies for higher education

Journal Article


Abstract


  • We are living in a “data-driven era” where new data is continuously being generated by

    people, businesses, organisations, communities and society each and every moment.

    This rapidly growing and huge amount of data must be managed through effective way

    for producing useful information and human decision support for current and future

    problems solving, planning and practices improvements as well as to generate new

    knowledge for future generation. As a result, organizations globally are making significant

    investments to explore how to better utilise the huge data and its diversification to

    create value and actionable insights (for example, Pardos 2017; Miah et al. 2017, 2019a,

    b). Big data has been a popular research problem across different academic disciplines.

    Although this problem has been treated mainly for advancing and innovating technological

    development (Wang et al. 2017), organisations and business communities are

    continuously exploring different aspects, perspectives and contextual specifics to find or

    explore benefits and value adding for improving practices. A lot of existing studies have

    defined the big data considering large volumes of broadly varied and complexity of

    datasets that are continuously being generated. The consideration for defining this goes

    to velocity, volume, value, variety, and veracity, so-called the "five V's of Big

    Data" (Gandomi and Haider 2015). Organizations such as education institutes have

    started to treat the issues of big data for reinforcing traditional electronic learning and

    teaching methods and other relevant products, and services (McAfee et al. 2012).

Authors


  •   Miah, Shah J. (external author)
  •   Miah, Muhammed (external author)
  •   Shen, Jun

Publication Date


  • 2020

Citation


  • Miah, S. J., Miah, M. & Shen, J. (2020). Editorial note: Learning management systems and big data technologies for higher education. Education and Information Technologies, 1-6.

Scopus Eid


  • 2-s2.0-85079447574

Number Of Pages


  • 5

Start Page


  • 1

End Page


  • 6

Place Of Publication


  • United States

Abstract


  • We are living in a “data-driven era” where new data is continuously being generated by

    people, businesses, organisations, communities and society each and every moment.

    This rapidly growing and huge amount of data must be managed through effective way

    for producing useful information and human decision support for current and future

    problems solving, planning and practices improvements as well as to generate new

    knowledge for future generation. As a result, organizations globally are making significant

    investments to explore how to better utilise the huge data and its diversification to

    create value and actionable insights (for example, Pardos 2017; Miah et al. 2017, 2019a,

    b). Big data has been a popular research problem across different academic disciplines.

    Although this problem has been treated mainly for advancing and innovating technological

    development (Wang et al. 2017), organisations and business communities are

    continuously exploring different aspects, perspectives and contextual specifics to find or

    explore benefits and value adding for improving practices. A lot of existing studies have

    defined the big data considering large volumes of broadly varied and complexity of

    datasets that are continuously being generated. The consideration for defining this goes

    to velocity, volume, value, variety, and veracity, so-called the "five V's of Big

    Data" (Gandomi and Haider 2015). Organizations such as education institutes have

    started to treat the issues of big data for reinforcing traditional electronic learning and

    teaching methods and other relevant products, and services (McAfee et al. 2012).

Authors


  •   Miah, Shah J. (external author)
  •   Miah, Muhammed (external author)
  •   Shen, Jun

Publication Date


  • 2020

Citation


  • Miah, S. J., Miah, M. & Shen, J. (2020). Editorial note: Learning management systems and big data technologies for higher education. Education and Information Technologies, 1-6.

Scopus Eid


  • 2-s2.0-85079447574

Number Of Pages


  • 5

Start Page


  • 1

End Page


  • 6

Place Of Publication


  • United States