Adaptive Online Learning Technology

M. Huda, Ulfatmi, M. Luthfi, Kamarul Azmi Jasmi, Bushrah Basiron, Mohd Ismail Mustari, A. Safar, W. Embong, Ahmad Marzuki Mohamad, Ahmad Kailani Mohamed
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引用次数: 9

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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自适应在线学习技术
随着智能手机、平板电脑、笔记本电脑等数字设备的出现,技术进步的趋势已经改变了包括教学和学习在内的社会生活方式。这一倡议还可能有助于信息和通信技术的典型方法,通过在高等教育背景下的教育环境中利用信息和通信技术来日益提高成果。在大数据趋势下,在网络数据中大量采用社交媒体,从企业资源数据中提供结构化数据和从音视频中提供非结构化数据的具体手段的提取,可以从提供消息、对话、交易等来源的信息空间价值开始。本章试图探讨大数据方法下的自适应学习技术设计。通过分析过程实现大数据的特殊优势,可以提供自适应在线技术的创新环境,以提高教学方法和技术技能,以支持高等教育(HE)背景下的主动教与学过程。
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