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Innovations in Teaching and Learning in the COVID-19 Crisis
Synopsis
In late 2019 and early 2020 till now, the education systems globally were hit with the insurgence of the COVID-19 pandemic. Many educational institutions were not adequately prepared to host online teaching and learning activities because structurally, they were ill-prepared. Therefore, educators need to innovatively come out with workable strategies to assist in the effective delivery of teaching and learning activities at all educational levels. This book scholarly explores possible innovative strategies that could be implemented to enhance teaching and learning during the sudden strike of the entire educational systems in countries following the outbreak of the COVID-19 pandemic. It discusses theoretical and practical approaches in implementing various learning management systems, digitalizing knowledge management practices, and offering psychological strategies for both students and teachers to adapt to the technological swings brought about by the COVID-19 pandemic.
Chapters
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Chapter One: Teaching and learning during COVID -19
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Chapter Two: Fostering learner autonomy: Key to advancing learning in post COVID-19
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Chapter Three: Impact of learning management systems in tourism and hospitality education in Bangladesh
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Chapter Four: Innovation in hospitality management education: Empirical evidences from university of Naples
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Chapter Five: Video-based courseware for LMS envisioned on Student Learning Outcome and non-cognitive skills
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Chapter Six: Students psychology towards the technological changes in the education sector
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Chpater Seven: The role of the university in industry networking through academic spin-offs
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Chapter Eight: Impact of digitalization in organizational learning and knowledge management
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Chapter Nine: Industry 4.0 technologies applied in teaching & learning
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Chapter Ten: Exploring asynchronous and synchronous e-Learning of management-business’ students in the lndependent-campus program, Indonesia
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Chapter Eleven: Learning content development using Generative Pretrained Transformer (Modelling a Decision Matrix)
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Chapter Twelve: Applying the Monitor Model Theory on online language teaching and learning
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