Learning analytics explained / by Niall Sclater.
Material type: TextPublisher: London : Routledge, 2017Description: 272 pages : illustrations (black and white)Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781138931732 (pbk.) :Subject(s): Education -- Research -- Data processing | Students -- Research -- Data processing | Data mining | Education | EducationDDC classification: 370.7'2 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, but there is 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.Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 370.72 SCL (Browse shelf(Opens below)) | Available | 06497993 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 370.72 SCL (Browse shelf(Opens below)) | Available | 06498000 |
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370.72 SAG The SAGE handbook of educational action research / | 370.72 SAG The SAGE handbook of educational action research / | 370.72 SAG The SAGE handbook of educational action research / | 370.72 SCL Learning analytics explained / | 370.72 SCL Learning analytics explained / | 370.72 SCO Key ideas in educational research / | 370.72 SHA Success with your education research project / |
'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, but there is 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.
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