Holy Name University Library

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Learning analytics explained / Niall Sclater.

By: Sclater, Niall [author.].
Publisher: New York, NY< USA ; London, England, UK : Routledge, Taylor & Francis Group, ©2017Description: x, 278 pages ; 23 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781138931725 (hbk); 9781138931732 (pbk.).Subject(s): Education -- Research -- Data processing | Students -- Research -- Data processing | Data mining | Learning analyticsDDC classification: 370.72 Scl16 2017
Contents:
Part I: Background. The evolution of a new field -- Expert motivations -- Part II: Applications. Early alert and student success -- Course recommendation -- Adaptive learning -- Curriculum design -- Expert thoughts on applications -- Part III: Logistics. Data -- Metrics and predictive modelling -- Visualisation -- Intervention -- Student-facing analytics -- Expert thoughts on logistics -- Part IV: Technologies. Architecture -- Standards -- Products -- Expert thoughts on technologies -- Part V: Deployment -- Institutional readiness -- Project planning -- Ethics -- Transparency and consent -- Privacy and data protection -- Expert thoughts on deployment -- Part VI: Future directions. Emerging techniques -- Expert visions.
Summary: "Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field"--Publisher's description.
Item type Current location Collection Call number Status Date due Barcode
Books Books College Library
General Circulation Section 		GC GC 370.72 Scl16 2017 (Browse shelf) Available HNU001372

Includes bibliographical references and index.

Part I: Background. The evolution of a new field --
Expert motivations --
Part II: Applications. Early alert and student success --
Course recommendation --
Adaptive learning --
Curriculum design --
Expert thoughts on applications --
Part III: Logistics. Data --
Metrics and predictive modelling --
Visualisation --
Intervention --
Student-facing analytics --
Expert thoughts on logistics --
Part IV: Technologies. Architecture --
Standards --
Products --
Expert thoughts on technologies --
Part V: Deployment --
Institutional readiness --
Project planning --
Ethics --
Transparency and consent --
Privacy and data protection --
Expert thoughts on deployment --
Part VI: Future directions. Emerging techniques --
Expert visions.

"Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field"--Publisher's description.

College of Engineering and Computer Studies Bachelor of Science in Information Technology

Text in English

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