Wentworth
Institute of Technology
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...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Bingley, UK :
Emerald,
2019.
|
| Edition: | First edition. |
| Subjects: | |
| Online Access: |
Full text (Wentworth users only) |
| Local Note: | ProQuest Ebook Central |
MARC
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| 100 | 1 | |a Moye, John N., |e author. | |
| 245 | 1 | 2 | |a A machine learning, artificial intelligence approach to institutional effectiveness in higher education / |c by John N. Moye. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Bingley, UK : |b Emerald, |c 2019. | |
| 300 | |a 1 online resource (xiii, 232 pages) : |b tables | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Prelims -- Chapter 1: Defining, measuring, and assessing effectiveness -- Chapter 2: Creating shared mission, vision, and values -- Chapter 3: Measuring and assessing program structure: intended performance -- Chapter 4: Measuring and assessing instruction: intended performance -- Chapter 5: Measuring and assessing support services: intended performance -- Chapter 6: Functional data modeling: identifying the drivers and constraints of actual performance -- Chapter 7: Institutional data modeling: looking beyond the data -- Chapter 8: Continuous quality improvement -- Afterword -- References -- Index. | |
| 520 | 8 | |a 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. | |
| 520 | |a 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. | ||
| 588 | |a Online resource; title from PDF title page (EBSCO, viewed July 12, 2019). | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Universities and colleges |x Evaluation |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence |x Educational applications. | |
| 650 | 0 | |a Education, Higher |x Management. | |
| 650 | 0 | |a Organizational effectiveness |x Measurement. | |
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