Computational Intelligence in Digital Pedagogy (eBook)
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2020
|
1st ed. 2021
XXIV, 293 Seiten
Springer Singapore (Verlag)
978-981-15-8744-3 (ISBN)
XXIV, 293 Seiten
Springer Singapore (Verlag)
978-981-15-8744-3 (ISBN)
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 diagnostic and 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.
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 diagnostic and 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.
Arpan Deyasi is presently working as an Assistant Professor in the Department of Electronics and Communication Engineering in RCC Institute of Information Technology, Kolkata, India. He has 13 years of professional experience in academics and industry. He received B.Sc. (Hons.), B.Tech., M.Tech. degree from the University of Calcutta. He is working in the area of semiconductor nanostructure and semiconductor photonics, and also on pedagogic principles. He has published more than 150 peer-reviewed research papers including book chapters, and a few edited volumes under the banner of CRC Press, IGI Global, etc. His major teaching subjects are solid state device, electromagnetics, photonics and pedagogical studies in P.G. courses. He is reviewer of a few journals of repute and some prestigious conferences in India and abroad. He has delivered a few talks and conducted hands-on sessions on nanolelectronics, photonics and electromagnetics in various FDP's, workshops and seminars. He is the Editor of various conference proceedings and edited volumes. He is a member of IEEE Electron Device Society, IE(I), OSI, IETE, ISTE, ACM, etc.
Soumen Mukherjee did his B.Sc. (Physics Honours) from Calcutta University, MCA from Kalyani University and ME in Information Technology from West Bengal University of Technology. He is the silver medallist in the ME course of the University. He has done his Postgraduate Diploma in Business Management from the Institute of Management Technology, Center of Distance Learning, Ghaziabad. He is now working as an Assistant Professor in RCC Institute of Information Technology, Kolkata. He has more than 17 years of teaching experience in the field of Computer Science and Application. He has over 40 research papers published in different national and international journals, conferences and 9 book chapters in different books by international publishers. He has contributed to over 20 internationally acclaimed books in the field of Computer Science and Engineering and edited 3 book volumes. He got best paper awards in international conferences. His research fields are image processing, machine learning and pedagogy. He is a life member of several institutions like IETE, CSI, ISTE and FOSET.
Arup Kumar Bhattacharjee did his graduation from University of Calcutta , Master of Computer Application (MCA) from University of Kalyani and M.Tech from West Bengal University of Technology. He is now working as an Assistant Professor in the Department of Computer Science & Engineering, RCC Institute of Information Technology, Kolkata, India. He is teaching core and electives courses in undergraduate and postgraduate programs in the field of Computer Science for last 18 years. He has published many research papers in different national and international journal and conferences. He has edited 2 books and contributed to over 20 internationally acclaimed books in the field of computer science and engineering. He has 4 book chapters in book volumes of international publishers. His studies continue in the areas of soft and evolutionary computing, object oriented technology.
Dr. Anirban Mukherjee did his Bachelors in Civil Engineering in 1994 from Jadavpur University, Kolkata and a professional Diploma in Operations Management (PGDOM) in 1998 from IGNOU. He completed his Ph.D. from Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, in 2014. He is currently Professor in the Department of Information Technology at RCC Institute of Information Technology, Kolkata, India. He has more than 20 years of teaching experience and 6 years of industry experience. His research interest includes computer graphics, computational intelligence, optimization, pattern recognition and engineering pedagogy. He has co-authored two UG engineering textbooks and more than 18 textbooks on Computer Graphics/Multimedia for distance learning courses BBA/MBA/BCA/MCA of different universities across India. Besides authoring several papers/chapters published in journals and conferences, he is the Co-Editor of six edited books. He is a member of the editorial review board of the International Journal of Ambient Computing and Intelligence (IJACI) and Fellow of IEI and life member of CSI.
Dr. Arindam Mondal is an Assistant Professor in the Department of Computer Application, RCC Institute of Information Technology, Kolkata, India. He completed his doctorate degree in science from Jadavpur University in the year 2017. He has published over 20 peer-reviewed papers in reputed national & international journals and conferences and also edited proceedings of international IEEE conferences. His current research interests include heavy ion physics, image processing, pattern recognition and pedagogy. He is presently working on an authored textbook in Computer Graphics and Multimedia.
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 diagnostic and 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.
| Erscheint lt. Verlag | 19.11.2020 |
|---|---|
| Reihe/Serie | Intelligent Systems Reference Library | Intelligent Systems Reference Library |
| Zusatzinfo | XXIV, 293 p. 95 illus., 57 illus. in color. |
| Sprache | englisch |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften ► Pädagogik | |
| Technik | |
| Schlagworte | Adaptive Learning • Computational Intelligence in Education Technology • Computer Based Technical Education • Digital pedagogy • hybrid learning • Intelligent Assessment Techniques • Intelligent Knowledge Representation • intelligent tutoring system • Learning and Instruction • Online Learning and MOOCs • Ubiquitous Learning Environment |
| ISBN-10 | 981-15-8744-2 / 9811587442 |
| ISBN-13 | 978-981-15-8744-3 / 9789811587443 |
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