Leaing, Teaching, and Assessment Methods for Contemporary Leaers:Pedagogy for the Digital Generation (Springer Texts in Education)

by: K. G. Srinivasa (Author),Muralidhar Kui(Author),Kuppala Saritha(Author)&0more

Publisher: Springer
Edition:1st ed. 2022

Publication Date: 30 Oct. 2022

Language: English

Print Length: 357 pages

ISBN-10: 9811967334

ISBN-13: 9789811967337

Book Description

This textbook tackles the matter of contemporary leaers’ needs, and introduces mode leaing, teaching, and assessment methods. It provides a deeper understanding of these methods so that the students and teachers can create teaching and leaing opportunities for themselves and others. It explores the meaning of ‘pedagogy’, why it is essential, and how pedagogy has evolved to take 21st-century skills and leaing into account. This textbook showcases various mode leaing, teaching, and assessment methods for contemporary leaers in an increasingly digital environment. Each chapter presents insights and case studies that show how such mode methods can be applied to classrooms, and how they can support the existing curriculum. It shows students, educators, and researchers alike how to effectively make sense of and use mode leaing, teaching, and assessment methods in everyday practice.
From the Back Cover This textbook tackles the matter of contemporary leaers’ needs, and introduces mode leaing, teaching, and assessment methods. It provides a deeper understanding of these methods so that the students and teachers can create teaching and leaing opportunities for themselves and others. It explores the meaning of ‘pedagogy’, why it is essential, and how pedagogy has evolved to take 21st-century skills and leaing into account. This textbook showcases various mode leaing, teaching, and assessment methods for contemporary leaers in an increasingly digital environment. Each chapter presents insights and case studies that show how such mode methods can be applied to classrooms, and how they can support the existing curriculum. It shows students, educators, and researchers alike how to effectively make sense of and use mode leaing, teaching, and assessment methods in everyday practice.
About the Author
Dr Srinivasa K G is a Professor in the Department of Data Science and Artificial Intelligence at the Inteational Institute of Information Technology, Naya Raipur, India. He is the recipient of a number of awards for his scholarly work, has published more than 150 research papers at inteational conferences and jouals, and has authored eight textbooks. Dr Srinivasa has been a visiting researcher at several universities abroad, is the Principal Investigator for a number of funded projects, and is the senior member of the Institute of Electrical and Electronics Engineers (IEEE) and Association for Computing Machinery (ACM). His research areas include data mining, machine leaing, and cloud computing, innovative teaching practices in engineering education, pedagogy, outcomes-based education, and teaching philosophy. Dr Muralidhar Kui is Associate Professor in the department of CSE at Anantha Lakshmi Institute of Technology & Sciences, Ananthapuramu,India. He received his Ph.D. in Computer Science and Engineering from JNTUA, Ananthapuram, in 2021. He is a senior member of IEEE and a professional member of ACM. His research interests include Leaing Analytics, Leaing Strategies, Digital Pedagogy, Design Thinking, Pedagogy refinement & Engineering Education Research. Dr Saritha K is Associate Professor, Department of Computer Science Engineering, Presidency University, Bangalore, India. Previously she worked as Principal, S.V. Degree & P.G. College, Anantapur. She has conducted several skill development activities for students at Madanapalle Institute of Technology & Science, and two of the student applications developed during the period were selected as 'Best Applications' by the Andhra Pradesh State Govement. Dr Saritha K has more than twenty years of teaching experience and has presented more than 15 papers at various national & inteational conferences and in jouals. Her research interests aredigital pedagogy, design thinking, pedagogy refinement, data mining, and machine leaing.