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A machine learning, artificial intelligence approach to institutional effectiveness in higher education /
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 in...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bingley, UK :
Emerald,
2019.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
| Sumario: | 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 synthesises these parts into a coherent and synergistic approach has not emerged. This book presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. 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. |
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| Descripción Física: | 1 online resource (xiii, 232 pages) : tables |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781789738995 1789738997 9781789739015 1789739012 |