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The Promise and Peril of Predictive Analytics in Higher Education: A - - PowerPoint PPT Presentation
The Promise and Peril of Predictive Analytics in Higher Education: A - - PowerPoint PPT Presentation
The Promise and Peril of Predictive Analytics in Higher Education: A Landscape Analysis Manuela Ekowo Policy Analyst New America January 6, 2017 Enrollment Management What it is Who is using it Admissions teams use past student
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Enrollment Management
What it is Admissions teams use past student demographic and performance data to make predictions about if prospective students are likely to become an applicant, be admitted, and enroll at the institution. Who is using it Wichita State University
- - Wichita, Kansas
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Adaptive Technologies
What it is Digital courseware programmed to use and store data on how students interact with the tool in
- rder to direct when the
tool should display certain course content to a student to help them gain mastery, and how and when a student should be assessed on whether they understood course content. Who is using it Glendale Community College
- -Glendale, Arizona
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Early-Alert and Course Recommender Systems
What they are Early-alert: Student demographic and performance data are used to flag which students may be at-risk of failing a course or dropping out of school altogether. Course recommender: Can use this same data to suggest majors students should pursue and courses they should take next. Who is using them Integrated Planning and Advising for Student Success (IPASS) grantees Austin Peay State University
- -Clarksville,Tennessee
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Challenges to Using Predictive Analytics Ethically
- Labeling and Stigma
- Transparency
- Privacy and Security
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Minimize Labeling and Stigma
Don’t close off students’ futures or profile students traditionally at-risk.
Source: Kent Weakley, Shutterstock.
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Ensure Transparency
Have transparent tools, processes, and uses.
Source: Lars Hallstrom, Shutterstock.
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Guarantee Privacy and Security
Have guidelines and policies that address who has access to student data and predictive results, how students will be informed about the institution’s data use practices, and how to ensure data is secured in all locations.
Source: Maxx-Studio, Shutterstock.
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Road Map to Use Predictive Analytics Ethically
- Define a common vision and plan
- Build a supportive infrastructure
- Ensure proper use of data
- Design predictive models and algorithms
that avoid bias
- Carefully deploy interventions
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Questions, Comments, Concerns?
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