The Coming of Age of Data Analytics in Higher Education

Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to he...

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Bibliographic Details
Published inStrategic enrollment management quarterly Vol. 9; no. 1; pp. 15 - 23
Main Authors Kisling, Reid, Peterson, Andrew, Nisbet, Robert
Format Journal Article
LanguageEnglish
Published Hoboken American Association of Collegiate Registrars and Admissions Officers 01.04.2021
Subjects
Artificial intelligence
Behavior Patterns
Behavioral psychology
Big Data
Cognition & reasoning
Computer Software
Constructivism
Corporations
Data analysis
Data Use
Datasets
Decision making
Educational Psychology
Educational Researchers
Educational Technology
Educational Theories
Educational theory
Enrollment Management
Futures (of Society)
Higher Education
Individualized Instruction
Information Systems
Instructional design
Instructional Leadership
Interdisciplinary aspects
Learning Analytics
Programming Languages
School Holding Power
Schools
Strategic Planning
Student Records
Student retention
Teaching Methods
Velocity
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Summary:Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical models for the future.
ISSN:2325-4750
2325-4750