A beginner's guide to learning analytics / (Record no. 46014)

MARC details
000 -LEADER
fixed length control field 06112cam a2200481Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251022161443.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210426s2021 sz ob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030702588
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3030702588
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9783030702601
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9783030702571
041 ## - LANGUAGE CODE
Language English
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
072 #7 - SUBJECT CATEGORY CODE
Subject category code JN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code EDU000000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code JN
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 379.158
Edition number 23
Item number SRI
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Srinivasa, K G,
245 12 - TITLE STATEMENT
Title A beginner's guide to learning analytics /
Statement of responsibility, etc Srinivasa K G, Muralidhar Kurni.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cham, Switzerland :
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc [2021]
300 ## - PHYSICAL DESCRIPTION
Extent 340 pages :
Dimensions 6.1 x 0.77 x 9.25 inches
505 0# - FORMATTED CONTENTS NOTE
Contents Chapter 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.
520 ## - SUMMARY, ETC.
Summary, etc This 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Teaching
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kurni, Muralidhar,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-70258-8">https://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-70258-8</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type General Books
100 1# - MAIN ENTRY--PERSONAL NAME
Relator term author.
490 1# - SERIES STATEMENT
Series statement Advances in analytics for learning and teaching,
International Standard Serial Number 2662-2122.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Access restricted to subsscribing institutions.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
General subdivision Evaluation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
General subdivision Evaluation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
General subdivision Mathematical models.
700 1# - ADDED ENTRY--PERSONAL NAME
Relator term author.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in analytics for learning and teaching,
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Connect to resource
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b37749031
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Social Sciences 22/10/2025   379.158 SRI 54582 22/10/2025 22/10/2025 General Books