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001435995 019__ $$a1247674518$$a1247676458
001435995 020__ $$a9783030702588$$q(electronic bk.)
001435995 020__ $$a3030702588$$q(electronic bk.)
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001435995 020__ $$z9783030702571
001435995 0247_ $$a10.1007/978-3-030-70258-8$$2doi
001435995 035__ $$aSP(OCoLC)1247672839
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001435995 049__ $$aISEA
001435995 050_4 $$aLB3051
001435995 08204 $$a379.1/58$$223
001435995 1001_ $$aK. G, Srinivasa,$$eauthor.
001435995 24512 $$aA beginner's guide to learning analytics /$$cSrinivasa K G, Muralidhar Kurni.
001435995 260__ $$aCham, Switzerland :$$bSpringer,$$c[2021]
001435995 300__ $$a1 online resource
001435995 336__ $$atext$$btxt$$2rdacontent
001435995 337__ $$acomputer$$bc$$2rdamedia
001435995 338__ $$aonline resource$$bcr$$2rdacarrier
001435995 4901_ $$aAdvances in analytics for learning and teaching,$$x2662-2122
001435995 504__ $$aIncludes bibliographical references.
001435995 5050_ $$aChapter 1 -- Introduction to Learning Analytics -- 1.1. Introduction to Learning Analytics -- 1.2. Learning analytics: A new and rapidly developing field -- 1.3. Benefits and Challenges of learning analytics -- 1.4. Ethical Concerns with Learning Analytics -- 1.5. Use of Learning analytics -- 1.6. Conclusion -- 1.7. Review Questions -- Chapter 2 Educational Data Mining & Learning Analytics -- 2.1. Introduction -- 2.2. Educational Data Mining (EDM) -- 2.3. Educational Data Mining & Learning analytics -- 2.4. Educational Data Mining & Learning analytics Applications -- 2.5. Conclusion -- 2.6. Review Questions -- Chapter 3.-Preparing for Learning Analytics -- 3.1. Introduction -- 3.2. Role of Psychology in Learning analytics -- 3.3. Architecting the learning analytics environment -- 3.4. Major Barriers for adopting Learning Analytics.-3.5. Case Studies -- 3.6. Conclusion -- 3.7. Review Questions -- Chapter 4. Data requirements for Learning analytics -- 4.1. Introduction -- 4.2. Types of data used for Learning Analytics -- 4.3. Data Models used to represent usage data for Learning analytics -- 4.4. Data Privacy maintenance in Learning analytics -- 4.5. Case Studies -- 4.6. Conclusion -- 4.7. Review Questions -- Chapter 5. Tools for Learning Analytics -- 5.1. Introduction -- 5.2. Popular Learning Analytics Tools -- 5.3. Choosing a Tool -- 5.4. Strategies to Successfully Deploy a Tool -- 5.5. Exploring Learning Analytics Tools -- 5.6. Case Studies -- 5.7. Developing a Learning analytics Tool -- 5.8. Conclusion -- 5.9. Review Questions.-Chapter 6 -- Other Technology Approaches to Learning Analytics -- 6.1. Introduction -- 6.2. Big Data & Learning Analytics -- 6.3. Data Science & Learning Analytics -- 6.4. AI & Learning Analytics -- 6.5. Machine Learning & Learning Analytics -- 6.6. Deep Learning & Learning Analytics -- 6.7. Case Studies -- 6.8. Conclusion -- 6.9. Review Questions -- Chapter 7 -- Learning Analytics in Massive Open Online Courses -- 7.1 Introduction to MOOCs -- 7.2. From MOOCs to Learning analytics -- 7.3. Integrating Learning analytics with MOOCs -- 7.4. Benefits of applying Learning Analytics in MOOCs -- 7.5. Major Concerns of implementing Learning Analytics in MOOCs -- 7.6. Limitation of Applying Learning Analytics in MOOCs -- 7.7. Tools that support Leaning analytics in MOOCs -- 7.8. Case Studies -- 7.9. Conclusion -- 7.10. Review Questions -- Chapter 8 -- The Pedagogical perspective of Learning Analytics -- 8.1. Introduction to Pedagogy -- 8.2. Learning Analytics based Pedagogical Framework -- 8.3. Pedagogical Interventions -- 8.4. Learning Analytics based Pedagogical Models -- 8.5. Case studies -- 8.6. Conclusion -- 8.7. Review Questions -- Chapter 9. Moving Forward -- 9.1. Self-Learning and Learning analytics -- 9.2. Lifelong learning and learning analytics -- 9.3. Present and future trend of learning analytics in the world -- 9.4. Measuring 21st Century Skills using Learning analytics -- 9.5. Moving Forward -- 9.6. Smart Learning analytics -- 9.7. Case Studies -- 9.8. Conclusion -- 9.9. Review Questions.-Chapter 10 -- Case Studies -- 10.1. Recommender systems using learning analytics -- 10.2. Learning Analytics in Higher Education -- 10.3. Other Evidences on the use of Learning Analytics -- Chapter 11. Problems.
001435995 506__ $$aAccess limited to authorized users.
001435995 520__ $$aThis book A Beginner's Guide to Learning Analytics is designed to meet modern educational trends' needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers' bookshelves.
001435995 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 3, 2021).
001435995 650_0 $$aLearning$$xEvaluation.
001435995 650_0 $$aTeaching$$xEvaluation.
001435995 650_0 $$aLearning$$xMathematical models.
001435995 650_0 $$aData mining.
001435995 650_6 $$aApprentissage$$xÉvaluation.
001435995 650_6 $$aApprentissage$$xModèles mathématiques.
001435995 650_6 $$aExploration de données (Informatique)
001435995 655_0 $$aElectronic books.
001435995 7001_ $$aKurni, Muralidhar,$$eauthor.
001435995 77608 $$iPrint version:$$z303070257X$$z9783030702571$$w(OCoLC)1235415619
001435995 830_0 $$aAdvances in analytics for learning and teaching,$$x2662-2122
001435995 852__ $$bebk
001435995 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-70258-8$$zOnline Access$$91397441.1
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001435995 980__ $$aBIB
001435995 980__ $$aEBOOK
001435995 982__ $$aEbook
001435995 983__ $$aOnline
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