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Computational intelligence in digita...

Deyasi, Arpan.

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Computational intelligence in digital pedagogy

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence in digital pedagogy/ edited by Arpan Deyasi ... [et al.].
其他作者:	Deyasi, Arpan.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xxiv, 293 p. :ill., digital ;24 cm.
內容註:	Authentic Pedagogy: A Project-oriented Teaching-Learning Method based on Critical Thinking -- A Set of Empirical Models to Evaluate E-learning Websites and their Comparison -- Multimedia Based Learning Tools and its Scope, Applications for Virtual Learning Environment -- Social Network Analysis in Education: A Study -- Personalization in Education using Recommendation System: An Overview -- Automation of Attainment Calculation in Outcome Based Technical Education (OBTE) -- Quality Issues in Teaching-Learning Process -- Digital English Language Laboratory: Roles, Challenges and Scopes for the Future Development in India -- Overview and Future Scope of SWAYAM in the World of MOOCS: A Comparative Study with Reference to Major International MOOCS -- Blending of Traditional System and Digital Technology: An Indian Perspective.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Educational applications. -
電子資源:	https://doi.org/10.1007/978-981-15-8744-3
ISBN:	9789811587443

Computational intelligence in digital pedagogy
Computational intelligence in digital pedagogy[electronic resource] /edited by Arpan Deyasi ... [et al.]. - Singapore :Springer Singapore :2021. - xxiv, 293 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1971868-4394 ;. - Intelligent systems reference library ;v.197..

Authentic Pedagogy: A Project-oriented Teaching-Learning Method based on Critical Thinking -- A Set of Empirical Models to Evaluate E-learning Websites and their Comparison -- Multimedia Based Learning Tools and its Scope, Applications for Virtual Learning Environment -- Social Network Analysis in Education: A Study -- Personalization in Education using Recommendation System: An Overview -- Automation of Attainment Calculation in Outcome Based Technical Education (OBTE) -- Quality Issues in Teaching-Learning Process -- Digital English Language Laboratory: Roles, Challenges and Scopes for the Future Development in India -- Overview and Future Scope of SWAYAM in the World of MOOCS: A Comparative Study with Reference to Major International MOOCS -- Blending of Traditional System and Digital Technology: An Indian Perspective.

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.

ISBN: 9789811587443

Standard No.: 10.1007/978-981-15-8744-3doiSubjects--Topical Terms:

567577
Artificial intelligence
--Educational applications.

LC Class. No.: LB1028.43 / .C65 2021

Dewey Class. No.: 371.334

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520 $a 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.
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