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Adaptive Online Learning Technology: Trends in Big Data Era
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Author(s): Miftachul Huda (Universiti Pendidikan Sultan Idris Malaysia, Malaysia), Ulfatmi (Universitas Islam Negeri Imam Bonjol Padang, Indonesia), Muhammad Ja'far Luthfi (Universitas Islam Negeri Sunan Kalijaga Yogyakarta, Indonesia), Kamarul Azmi Jasmi (Universiti Teknologi Malaysia, Malaysia), Bushrah Basiron (Universiti Teknologi Malaysia, Malaysia), Mohd Ismail Mustari (Universiti Teknologi Malaysia, Malaysia), Ajmain Safar (Universiti Teknologi Malaysia, Malaysia), Wan Hassan Wan Embong (Universiti Teknologi Malaysia, Malaysia), Ahmad Marzuki Mohamad (Universiti Teknologi Malaysia, Malaysia)and Ahmad Kilani Mohamed (Universiti Teknologi Malaysia, Malaysia)
Copyright: 2021
Pages: 25
Source title:
Research Anthology on Developing Effective Online Learning Courses
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-8047-9.ch032
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Abstract
The current trend of technology advancement with digital devices such as smart phones, tablets, and laptops has shifted the way of societal life including teaching and learning. This initiative might also contribute to the typical approach of information and communication technology (ICT) to increasingly enhance the achievement through utilizing it in the education setting in the higher education context. Adopting social media in network data massively within the big data trends, the extraction of the particular means in providing structured data from enterprise resources data and sources of unstructured data from audio and video can begin with providing the value from information space such as message, conversation, transaction, and other sources. This chapter attempts to explore the design of adaptive learning technology in big data approach. Attempts to achieve particular advantage of big data with analytic process could provide the innovative environment of adaptive online technology to enhance pedagogy and technology skill to support the initiative way of teaching and learning process in the higher education (HE) context.
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