Learning analytics in higher education: current innovations, future potential
Learning analytics in higher education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-know...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Routledge, Taylor & Francis Group
2019
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Learning analytics in higher education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators |
| Beschreibung: | Description based on print version record |
| Beschreibung: | 1 online resource (xv, 199 pages : illustrations.) |
| ISBN: | 9780203731864 0203731867 |
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| index_date | 2024-07-03T15:58:00Z |
| indexdate | 2024-07-10T08:59:53Z |
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| isbn | 9780203731864 0203731867 |
| language | English |
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| publisher | Routledge, Taylor & Francis Group |
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| spelling | Learning analytics in higher education current innovations, future potential edited by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala New York, NY Routledge, Taylor & Francis Group 2019 © 2019 1 online resource (xv, 199 pages : illustrations.) txt rdacontent c rdamedia cr rdacarrier Description based on print version record Learning analytics in higher education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators Academic achievement / Evaluation Education, Higher / Evaluation Educational evaluation / Data processing Data mining Lester, Jaime edt Klein, Carrie edt Johri, Aditya 1976- edt Rangwala, Huzefa edt https://www.taylorfrancis.com/books/9780203731864 Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Learning analytics in higher education current innovations, future potential Academic achievement / Evaluation Education, Higher / Evaluation Educational evaluation / Data processing Data mining |
| title | Learning analytics in higher education current innovations, future potential |
| title_auth | Learning analytics in higher education current innovations, future potential |
| title_exact_search | Learning analytics in higher education current innovations, future potential |
| title_exact_search_txtP | Learning analytics in higher education current innovations, future potential |
| title_full | Learning analytics in higher education current innovations, future potential edited by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala |
| title_fullStr | Learning analytics in higher education current innovations, future potential edited by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala |
| title_full_unstemmed | Learning analytics in higher education current innovations, future potential edited by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala |
| title_short | Learning analytics in higher education |
| title_sort | learning analytics in higher education current innovations future potential |
| title_sub | current innovations, future potential |
| topic | Academic achievement / Evaluation Education, Higher / Evaluation Educational evaluation / Data processing Data mining |
| topic_facet | Academic achievement / Evaluation Education, Higher / Evaluation Educational evaluation / Data processing Data mining |
| url | https://www.taylorfrancis.com/books/9780203731864 |
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