Academics 4.0 has become increasingly crucial in recent times due to the impact of Industry 4.0 on various fields. The emergence of disruptive technologies and the cyber-physical world has underscored the need for experts in these areas, which requires proper training of students from an early stage. Education 4.0 is essential in preparing faculties and students adequately for this purpose. This approach shifts the focus from teaching to learning and employs blended learning, MOOC courses, and flipped classrooms to achieve better understanding and application of knowledge. The practical aspect of the subject is discussed in the classroom, while the theoretical aspect is taught outside the class.

The book, Architecture and Technological Advancements of Education 4.0, aims to explain the rationale, advantages, and features of Academics 4.0, explore assessment tools and techniques, and describe the national policy for bringing change in education. It also covers blended learning, MOOC courses, virtual labs, and mobile learning, with a focus on their benefits. The book will be useful for universities and educational entities that aim to follow Academics 4.0 in the education system, serve as a reference manual for research articles, and be helpful to faculties and academicians who wish to implement and assess online techniques. Additionally, it will be an excellent learning platform for providers and users of relevant domains, with a broad range of topics covering its impact on the education system, students, and workforce.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Academics 1.0 to 4.0
Big Data, AI and ML Support for E-rendering Frameworks
Curriculum Planning and Implementation Processes
Delivery Platforms
Effective Learners Feedback Tools
Future Directions
Impact on student’s employability
Mobile learning and e-learning
National Education Policy for Bringing Change in Learning
Online Learning Design, Development, and Implementation
Providers and Models for Web-Based Learning
Remote Labs & Virtual Labs
Trends in Virtual Learning
Vocational Training and Professional Training
Web-based Learning: Providers and Models

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Editor/Author Biographies

Rajiv Pandey Senior is a member of the IEEE and is a Faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He possesses a diverse back ground experience of around 30 years to include 15 years of Industry and 13 years of academic. His research interests include the contemporary technologies as Semantic Web Provenance, Cloud and Big Data, and Data Analytics. He has published more than 30 research papers in Scopus, and other science indexed journals of repute. He has been Session chairs, Technical committee member for various IEEE and Elsevier conferenceHe has been on technical committees of various government and private universities. He is intellectually involved in supervising Doctorate Research Scholars and Post graduate Students. He is also an active contributor in professional bodies like IEEE, IET and Lucknow Management Association. He is also a member of Machine Intelligence Research Labs.

Dr. Nidhi Srivastava is an accomplished academician and researcher, currently serving as an Assistant Professor at the Amity Institute of Information & Technology, Amity University, Lucknow. With over a decade of experience she has been a dedicated educator, previously working as a Lecturer at the Institute of Environment and Management (IEM), Anwari, from February 1, 2005, to April 30, 2007. Dr. Srivastava has made significant contributions to the field of information technology, particularly in areas such as cloud computing, biometric authentication, speech recognition, and e-governance. Her impressive publication record includes papers like "NoSQL - A Solution for Handling Big Data" and "An Agent-Based Multimodal Biometric Method for Secure Systems." As an active researcher, she has presented and published papers in various conferences and journals, exploring topics such as big data analytics, machine learning techniques, and anomaly detection in network traffic. Dr. Srivastava has demonstrated leadership by serving as a Program Leader for B.Sc.(IT), participating in various committees, and organizing workshops and conferences. She is also a respected editor and contributor.

Parag Chatterjee is a research professor at the National Technological University (Universidad Tecnológica Nacional) in Buenos Aires, Argentina and an assistant professor at the University of the Republic (Universidad de la República), Uruguay. He obtained his MSc in Computer Science in 2015 from University of Calcutta, followed by a PhD from the National Technological University in Argentina, and is currently working in the transdisciplinary areas of Internet of Things and Artificial Intelligence applied to healthcare, especially in the domain of intelligent prediction and prevention. He is a member of editorial and reviewer boards of 20+ international journals and conferences, and has delivered talks and keynotes in 30+ conferences and events, including ExpoInternet LatinoAmérica, IoT Week Geneva and TEDx.

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