A machine learning, artificial intelligence approach to institutional effectiveness in higher education / John N. Moye.
Material type:
TextPublisher: Emerald Publishing Limited, Description: 1 online resource (xiii, 232 pages) ; cmISBN: 9781789738995 (e-book)Subject(s): Education, Higher -- Management | Organizational effectiveness -- Measurement | Education -- Higher | EducationAdditional physical formats: No titleDDC classification: 378.101 LOC classification: LB2341 | .M69 2019Online resources: Click here to access online | Item type | Current library | Call number | URL | Status | Date due | Barcode | Item holds |
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eBook
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Digital Library
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| LB2341 .B68 2020 The fully functioning university / | LB2341 .I57 2011 Institutional transformation to engage a diverse student body | LB2341 .I58 2014 Investing in our education | LB2341 .M69 2019 A machine learning, artificial intelligence approach to institutional effectiveness in higher education / | LB2341.8.A35 L436 2015 Leadership and Management: Case Studies in Training in Higher Education in Africa | LB2342 .H54 2018 Higher education funding and access in international perspective / | LB2342.9 .E54 2017 Engaging dissonance : |
Includes bibliographical references and index.
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.
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.
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