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Augmented Intelligence for Knowledge Management and Green Education in the Post-COVID-19 Era
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Author(s): Amitab Bhattacharjee (Lincoln University College, Malaysia), Abhijit Ghosh (Lincoln University College, Malaysia), Mohammad Khairul Islam Juman (Malaysia University of Science and Technology, Malaysia)and Monir Hossen (Binary University of Management and Entrepreneurship, Malaysia)
Copyright: 2024
Pages: 25
Source title:
Integrating Generative AI in Education to Achieve Sustainable Development Goals
Source Author(s)/Editor(s): Ruchi Doshi (Universidad Azteca, Mexico), Manish Dadhich (Sir Padampat Singhania University, India), Sandeep Poddar (Lincoln University College, Malaysia)and Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia)
DOI: 10.4018/979-8-3693-2440-0.ch003
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Abstract
Augmented intelligence is a paradigm that integrates machine capabilities with human cognition, amplifying cognitive abilities and optimizing decision-making processes. Integrating augmented intelligence into knowledge management can significantly improve experiential learning and training at lower costs while maintaining higher standards. Before the epidemic, AI-based transformation in knowledge acquisition, dissemination, and responsiveness began, which expanded rapidly during the global COVID-19 pandemic. Consequently, virtual knowledge management, online learning, hybrid training, and similar approaches have become familiar, while quality and real-time human participation have declined due to monotonous static features. Hence, this chapter discusses how to redesign knowledge management and green education systems with augmented intelligence/reality to enhance higher standards in virtual learning and training through advanced hybrid platforms such as holographic labs, 3D holographic training systems, bionic lenses, and electroencephalography for future generations.
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