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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Moye, John N. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley, UK : Emerald, 2019.
Edición:First edition.
Temas:
Acceso en línea:Texto completo
Texto completo

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 
588 |a Online resource; title from PDF title page (EBSCO, viewed July 12, 2019). 
504 |a Includes bibliographical references and 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. 
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. 
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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. 
650 6 |a Universités  |x Évaluation  |x Informatique. 
650 6 |a Apprentissage automatique. 
650 6 |a Intelligence artificielle  |x Applications en éducation. 
650 6 |a Enseignement supérieur  |x Gestion. 
650 6 |a Efficacité organisationnelle  |x Mesure. 
650 7 |a Education.  |2 bicssc 
650 7 |a Education  |x Higher.  |2 bisacsh 
650 7 |a Artificial intelligence  |x Educational applications  |2 fast 
650 7 |a Machine learning  |2 fast 
650 7 |a Education, Higher  |x Management  |2 fast 
650 7 |a Organizational effectiveness  |x Measurement  |2 fast 
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