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Silent Observation

Silent Observation

Mohd Javed Khan
Copyright: © 2020 |Pages: 27
ISBN13: 9781799830627|ISBN10: 1799830624|ISBN13 Softcover: 9781799830634|EISBN13: 9781799830641
DOI: 10.4018/978-1-7998-3062-7.ch017
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MLA

Khan, Mohd Javed. "Silent Observation." ICT-Based Assessment, Methods, and Programs in Tertiary Education, edited by Serpil Meri Yilan and Kasim Koruyan, IGI Global, 2020, pp. 336-362. https://doi.org/10.4018/978-1-7998-3062-7.ch017

APA

Khan, M. J. (2020). Silent Observation. In S. Meri Yilan & K. Koruyan (Eds.), ICT-Based Assessment, Methods, and Programs in Tertiary Education (pp. 336-362). IGI Global. https://doi.org/10.4018/978-1-7998-3062-7.ch017

Chicago

Khan, Mohd Javed. "Silent Observation." In ICT-Based Assessment, Methods, and Programs in Tertiary Education, edited by Serpil Meri Yilan and Kasim Koruyan, 336-362. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-3062-7.ch017

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Abstract

With the growth of information communication technology, new technologies are emerging, and their applications in learning are increasing. Emerging technologies that may produce effective learning outcomes include 5G technology to have efficient and effective learning, artificial intelligence – imitating human-like behaviour, voice searches, augmented reality (AR), virtual reality (VR), and mixed reality (MR). Research in the field of emerging technologies reflects that they are able to engage learners and grab their attention. Learners must be assessed to measure learning gains. Learner assessment using Bloom's taxonomy has been proved effective. Algorithm “Silent Observation,” proposed to assess learners, is found to be effective in its idea of conception stage. The algorithm has sound footing in micro-research findings on formative assessment and emerging technologies. Assessment using this algorithm will be an iterative process and will refine itself using AI techniques. “Silent Observation” has a strong pedagogical framework interweaving emerging technologies.

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