Computational Intelligence in Digital Pedagogy

✍ Scribed by Arpan Deyasi, Soumen Mukherjee, Anirban Mukherjee, Arup Kumar Bhattacharjee, Arindam Mondal

• Publisher: Springer Singapore;Springer
• Year: 2021
• Tongue: English
• Leaves: 305
• Series: Intelligent Systems Reference Library 197
• Edition: 1st ed.
• Category: Library

✦ 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 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.

✦ Table of Contents

Front Matter ....Pages i-xxiv
Authentic Pedagogy: A Project-Oriented Teaching–Learning Method Based on Critical Thinking (Arpan Deyasi, Swapan Bhattacharyya, Pampa Debnath, Angsuman Sarkar)....Pages 1-20
A Set of Empirical Models to Evaluate E-learning Web Sites and Their Comparison (Soumili Dey, Suchandra Datta, Anal Acharya, Debabrata Datta)....Pages 21-45
Multimedia-Based Learning Tools and Its Scope, Applications for Virtual Learning Environment (S. N. Kumar, A. Lenin Fred, Parasuraman Padmanabhan, Balazs Gulyas, Charles Dyson, R. Melba Kani et al.)....Pages 47-63
Social Network Analysis in Education: A Study (Poulomi Samanta, Dhrubasish Sarkar, Dipak K. Kole, Premananda Jana)....Pages 65-83
Personalization in Education Using Recommendation System: An Overview (Subhra Samir Kundu, Dhrubasish Sarkar, Premananda Jana, Dipak K. Kole)....Pages 85-111
Automation of Attainment Calculation in Outcome-Based Technical Education (OBTE) (Nikita Gupta, Arijit Ghosal)....Pages 113-135
Quality Issues in Teaching–Learning Process (Habiba Hussain)....Pages 137-148
Digital English Language Laboratory: Roles, Challenges and Scopes for the Future Development in India (Anwesha Basu)....Pages 149-167
Overview and Future Scope of SWAYAM in the World of MOOCS: A Comparative Study with Reference to Major International MOOCS (Madhu Agarwal Agnihotri, Arkajyoti Pandit)....Pages 169-201
Blending of Traditional System and Digital Pedagogy: An Indian Perspective (Ishita De Ghosh, Satrajit Ghosh)....Pages 203-217
Application of Internet of Things in Digital Pedagogy (Monu Bhagat, Dilip Kumar, Sushma M. Balgi)....Pages 219-234
An Innovative Step for Enhancement in Student Results and Teaching–Learning Process Using Educational Technology (Sudhanshu S. Gonge, Ratnashil N. Khobragade, Vilas M. Thakare, Vivek S. Deshpande, Manikrao L. Dhore)....Pages 235-249
Digital Pedagogical Paradigm in Language Lab-Based English Teaching for Higher Technical Education (Sadhan Kumar Dey, Alice Dey)....Pages 251-275
A Novel Outcome Evaluation Model Blended with Computational Intelligence and Digital Pedagogy for UG Engineering Education (Arpan Deyasi, Arup Kumar Bhattacharjee, Soumen Mukherjee)....Pages 277-293

✦ Subjects

Engineering; Computational Intelligence; Computers and Education; Learning and Instruction; Educational Technology; Assessment, Testing and Evaluation