Digital Analytics Applications for Sustainable Training and Education

Emerging educational technologies and innovative practices are and can be used to address core global educational challenges, spanning from rethinking and transforming learning environments across educational contexts to effectively cultivating students’ competencies for the innovative digital society of the future. This new volume showcases how digital analytics (DA) is one of these emerging new trends that uses new technologies to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments.

The book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. Such technological tools for quantitative and qualitative data analysis and data mining techniques as artificial intelligence, deep learning, cloud computing, big data, machine learning are discussed in the context of educational digital analytics. This book traces the links to descriptive, predictive, and prescriptive analytics to assess, evaluate, record, predict, and prescribe issues related to student progress, participation, performance, personalization, and empowerment in academic and curricular activities.

Taking into serious consideration the United Nations’ Sustainable Development Goal 4, which aims to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all,” the chapter authors explore a plethora of important themes, such as

• the benefits of digitization of education
• the role of digitalization in education and training in inclusive learning
• edtech digital platforms to support digitalization in education
• assessing student engagement, students’ learning abilities and challenges, and student performance
• educational institutions’ evaluation of employee job satisfaction levels
• the role of social media in the digitization of education, as well as a disruptor
• e-mentorship in education
• employing digital education for citizenship education
• and much more

Taking a holistic approach in the teaching and implementation of data tools from both micro and macro perspectives, Digital Analytics Applications for Sustainable Training and Education will be valuable to academic researchers, faculty and advanced students, educational administrators and policymakers, and others involved in the important field of education.

Kiran Sood, PhD, is affiliated with the Chitkara Business School at Chitkara University, Punjab, India, having formerly served at other organizations for 18 years. She has published papers in journals and presented at international conferences and has served as an editor for several refereed journals. Her research mainly focuses on regulations, marketing and finance in insurance, insurance management, and economics and management of innovation in insurance. She has edited more than ten books with international publishers.

Prateek Kalia, PhD, is Assistant Professor in the Department of Corporate Economy at Masaryk University, Czech Republic. He has 20 years of experience in corporate, government administration and academics and has worked as director and professor at a leading university in North India. He is a specialist in the field of management with a keen interest in digital analytics, electronic commerce, e-service quality, and consumer behavior. His papers are published in leading international journals, and he serves as a reviewer for various journals.

Simon Grima, PhD, is Deputy Dean of the Faculty of Economics, Management and Accountancy and Associate Professor and Head of the Insurance and Risk Management Department at the University of Malta, Msida. He is also a Professor at the University of Latvia, Faculty of Business, Management and Economics and a visiting Professor at Università Cattolica del Sacro Cuore, Italy. He served as the President of the Malta Association of Risk Management and President of the Malta Association of Compliance Officers. In addition, he is chairman of the Scientific Education Committee of the Public Risk Management Organization. He is also a chief editor, editor, and review editor of several journals and book series.

Aryan Chaudhary is Chief Scientific Advisor at BioTech Sphere Research, India. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has expertise in leveraging revolutionary technologies, including artificial intelligence, deep learning, IoT, cognitive technology, and blockchain in the healthcare industry. He has published in his work on public health and digital health in international journals and was recognized as "Most Inspiring Young Leader in Healthtech Space 2022" by Business Connect. He is Chair for an ACM professional chapter and nominated as a member of the ACM U.S. Technology Policy Committee (USTPC) in the AI & Algorithms Division.