Silent Observation

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Author(s): Mohd Javed Khan (Jamia Millia Islamia, India)
Copyright: 2020
Pages: 27
Source title: ICT-Based Assessment, Methods, and Programs in Tertiary Education
Source Author(s)/Editor(s): Serpil Meri Yilan (Agri Ibrahim Cecen University, Turkey)and Kasim Koruyan (King Saud University, Saudi Arabia)
DOI: 10.4018/978-1-7998-3062-7.ch017

Keywords: Education / Educational Technologies / Higher Education / Information Science Reference

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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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