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What is Academic Analytics

Examining Social Change and Social Responsibility in Higher Education
The use of various analytic methods to support decision making in higher education institutions related to organizational management and fiscal responsibilities.
Published in Chapter:
Valuing Social Responsibility in the Era of Data Analytics: A Process Model for Effective Practice
Melissa R. Irvin (University of South Florida, USA)
DOI: 10.4018/978-1-7998-2177-9.ch011
Abstract
Higher education is increasingly interested in utilizing data analytics to support all aspects of university operations, including enrollment management and learning outcomes. Despite potential benefits to improve results and resource efficiency, the use of student information and the creation of predictive models is a potential minefield which could undermine larger higher educational missions tied to civic responsibility and social mobility. Questions remain as to the impacts of predictive modeling on underrepresented communities like students of color and differently abled students. Emerging research on similar fields of analytics, including predictive policing, provides a window into the ethical considerations that must be made to use data analytics responsibly. This chapter uses the construct of social responsibility to propose a process model for the responsible use of data analytics in colleges and universities derived from Carroll's Pyramid of Corporate Social Responsibility.
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More Results
Learning Analytics
Advanced data analysis for improving the performance of education organizations.
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Teaching and Using Analytics in Management Education
Application of the principles and tools of business Analytics to academia with a special emphasis on enhancing administrative performance.
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Academic Analytics
The broad applications of both business intelligence, which traditionally focuses on query and reporting, as well as predictive modeling and data mining techniques for decision making in higher education.
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