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hardcover. Condition: New. Hardback. No dust jacket. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
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Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
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Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. The Institutional Research profession is currently experimenting with many strategies to assess institutional effectiveness in a manner that reflects the letter and spirit of their unique mission, vision, and values. While a "best-practices" approach to the measurement and assessment of institutional functions is prevalent in the literature, a machine learning approach that synthesizes these parts into a coherent and synergistic approach has not emerged. A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are instruments and strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method. The data collected in this system are organized into assessments of institutional effectiveness through the application of machine learning data processes that create an artificial intelligence model of actual institutional performance from the raw performance data. This artificial intelligence is visualized through five organizational sensemaking approaches to monitor, demonstrate, and improve institutional performance. Thus, this book provides a set of tools that can be adopted or adapted to the specific intentions of any institution, making it an invaluable resource for Higher Education administrators, leaders and practitioners.
Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Add to basketCondition: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.
Published by Emerald Publishing Limited, GB, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Add to basketHardback. Condition: New. The Institutional Research profession is currently experimenting with many strategies to assess institutional effectiveness in a manner that reflects the letter and spirit of their unique mission, vision, and values. While a "best-practices" approach to the measurement and assessment of institutional functions is prevalent in the literature, a machine learning approach that synthesizes these parts into a coherent and synergistic approach has not emerged. A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are instruments and strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method. The data collected in this system are organized into assessments of institutional effectiveness through the application of machine learning data processes that create an artificial intelligence model of actual institutional performance from the raw performance data. This artificial intelligence is visualized through five organizational sensemaking approaches to monitor, demonstrate, and improve institutional performance. Thus, this book provides a set of tools that can be adopted or adapted to the specific intentions of any institution, making it an invaluable resource for Higher Education administrators, leaders and practitioners.
Published by Emerald Group Pub Ltd, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 232 pages. 9.00x6.25x0.75 inches. In Stock.
Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 514.
Published by Emerald Publishing Limited, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method.
Published by Emerald Group Pub Ltd, 2019
ISBN 10: 1789739004 ISBN 13: 9781789739008
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 232 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Serv.
Seller: Biblios, Frankfurt am main, HESSE, Germany
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