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Computational Intelligence in Digital Pedagogy

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Computational Intelligence in Digital Pedagogy Synopsis

This book is a useful guide for the teaching fraternity, administrators and education technology professionals to make good use of AI across outcome-based technical education (OBTE) ecosystem and infuse innovations and affordable digital technologies to traditional pedagogic processes to make teaching-learning more independent of human factor (teacher/student quality), time and place and at the same time more impactful and enjoyable for the learners. Providing access to the digital media and learning tools (even to the extent of mobile apps) to the students would allow them to keep pace with innovations in learning technologies, learn according to their own pace and improve their understanding level and have instantaneous feedback and evaluation. The book explores these new challenges and scope of using computational intelligence in educational technology. The book also addresses how based on the data collected from the outcome of conventional educational system, intelligent diagnosticand feedback system is developed which will change the teaching strategies and corresponding teaching-learning process. The book covers a wider framework of digital pedagogy and its intelligent applications on various sectors of education system.

About This Edition

ISBN: 9789811587467
Publication date: 20th November 2021
Author: Arpan Deyasi, Soumen Mukherjee, Anirban Mukherjee, Arup Kumar Bhattacharjee, Arindam Mondal
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 293 pages
Series: Intelligent Systems Reference Library
Genres: Artificial intelligence
Education: examinations and assessment
Educational equipment and technology, computer-aided learning (CAL)
Educational psychology