Silent Observation

Mohd Javed Khan
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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.
沉默的观察
随着信息通信技术的发展,新技术不断涌现,在学习中的应用也越来越多。可能产生有效学习成果的新兴技术包括实现高效学习的5G技术、人工智能(模仿类人行为)、语音搜索、增强现实(AR)、虚拟现实(VR)和混合现实(MR)。新兴技术领域的研究表明,它们能够吸引学习者并抓住他们的注意力。必须对学习者进行评估,以衡量学习成果。使用Bloom分类法对学习者进行评估已被证明是有效的。提出了一种评价学习者的“沉默观察”算法,在其思想构思阶段被发现是有效的。该算法在形成性评价和新兴技术的微观研究成果中具有良好的基础。使用该算法进行评估将是一个迭代过程,并将使用人工智能技术进行自我完善。“沉默的观察”有一个强大的教学框架,交织着新兴技术。
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