A Beginner’s Guide to Learning Analytics (Record no. 105402)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06800nam a22005295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-70258-8 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MN-UlMNUE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230201110136.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210419s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030702588 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-70258-8 |
| Source of number or code | doi |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MN-UlMNUE |
| Language of cataloging | English |
| Transcribing agency | MN-UlMNUE |
| Modifying agency | MN-UlMNUE |
| Description conventions | rda |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | LB1028.3 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | JNV |
| Source | bicssc |
| Subject category code | EDU000000 |
| Source | bisacsh |
| Subject category code | JNV |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 371.33 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | K G, Srinivasa. |
| Relator term | author. |
| Authority record control number or standard number | (orcid)0000-0003-1022-8431 |
| Real World Object URI | https://orcid.org/0000-0003-1022-8431 |
| Relationship | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) | 2061 |
| 245 12 - TITLE STATEMENT | |
| Title | A Beginner’s Guide to Learning Analytics |
| Medium | [electronic resource] / |
| Statement of responsibility, etc. | by Srinivasa K G, Muralidhar Kurni. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XIII, 326 p. 40 illus., 38 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Analytics for Learning and Teaching, |
| International Standard Serial Number | 2662-2130 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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 entry element | Educational technology. |
| Topical term or geographic name entry element | Education—Data processing. |
| 9 (RLIN) | 1492 |
| Topical term or geographic name entry element | Digital Education and Educational Technology. |
| Topical term or geographic name entry element | Computers and Education. |
| 9 (RLIN) | 1495 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kurni, Muralidhar. |
| Relator term | author. |
| Authority record control number or standard number | (orcid)0000-0002-3324-893X |
| Real World Object URI | https://orcid.org/0000-0002-3324-893X |
| Relationship | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) | 2062 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030702571 |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030702595 |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030702601 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Advances in Analytics for Learning and Teaching, |
| International Standard Serial Number | 2662-2130 |
| 9 (RLIN) | 2063 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-70258-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Цахим хувилбартай гадаад ном |
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