000			01989nam a22002057a 4500
999			_c37759 _d37759
020			_a9783030702571
041			_aEnglish
082			_a379.158 _bKUR-A
100			_aK G, Srinivasa _eAuthor.
245			_aA Beginner's Guide to Learning Analytics / _cK G Srinivasa , Kurni Muralidhar
260			_aNewyork : _bSpringer, _c2021.
300			_a339p.
520			_aThis book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
546			_aEnglish
650			_a COMPUTERS _xData Processing
650			_aCOMPUTERS _xIntelligence (AI) & Semantics
650			_aCOMPUTERS _xData Visualization
700			_aKurni, Muralidhar _eauthor.
942			_2ddc _cBK