Computational Intelligence in Digital Pedagogy

Anirban Mukherjee (Hrsg.), Arpan Deyasi (Hrsg.), Soumen Mukherjee (Hrsg.), Arup Kumar Bhattacharjee (Hrsg.), Arindam Mondal (Hrsg.)

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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.

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Schlagwörter

Adaptive Learning, Digital Pedagogy, Intelligent Tutoring System, learning and instruction, Ubiquitous Learning Environment, Hybrid Learning, Computational Intelligence in Education Technology, Intelligent Knowledge Representation, Computer Based Technical Education, Online Learning and MOOCs, Intelligent Assessment Techniques