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Webinar: Predictive Statistics: Data-Driven Approaches for Predicting Student Outcomes

This webinar will describe contemporary educational approaches and strategies for the use of curricular data to predict student outcomes and inform advising, mentorship, and curricular quality improvement. Specifically, this webinar will identify pre-admission, post-admission, professional, and curricular assessment data that might help predict success outcomes. Approaches to utilize resultant information to develop students and target curricular deficiencies will be discussed. Experiences from multiple colleges will be presented. Opportunities to further develop and integrate these approaches and strategies will also be considered.



CE Hours


CE Units


Activity Type

  • Knowledge

Target Audience(s)

  • Pharmacists


The purpose of the AACP Continuing Professional Development program is to provide continuing professional development opportunities to members and others eligible who are dedicated to life-long learning. AACP will provide high quality, active, engaging educational programming enabling individuals to continuously improve their knowledge and skills.
Accreditation Council for Pharmacy Education
The American Association of Colleges of Pharmacy is accredited by the Accreditation Council for Pharmacy Education as a provider of continuing pharmacy education.

Requirements for CE Credit

Participants must achieve a score of 80% on the post test and complete the CPD evaluation in order to obtain CE credit for this event. 

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  • Identify independent and dependent variables for predictive analysis from the published literature.
  • Identify and select the proper analytic techniques to conduct predictive analyses.
  • Describe current strategies to utilize predictive performance data to support students and ensure curricular quality.
  • Discuss future opportunities to cultivate predictive analytics in health science curricula.

Activity Number


Release Date: May 17, 2022
Credit Expiration Date: May 17, 2025

CE Hours