Building a Better Machine: Leveraging Data, Partnerships, & Technology to Enhance the Credit Evaluation & Articulation Experience.
Research on transition theory suggests transfer student success correlates with a seamless transfer experience based on factors such as degree applicable transfer credits and reduction of time and cost to degree. Participants can expect to review factors that impact the student transfer experience; reflect, compare, and assess their institutional transfer policies and best practices for credit evaluation; and discuss ways to use data to advocate for technology and personnel needs.
First Learning Outcome: Project Management Strategy
Second Learning Outcome: Building partnerships toward a common goal
Third Learning Outcome: Embracing technology to improve efficiency
Core Competency: Holistic and Systemic Thinking
Proficiency: Transfer & Articulation Proficiency
Presenter(s):
Beth Young University of Cincinnati
Sue Strakowksi University of Cincinnati
Beth Young University of Cincinnati
Building a Better Machine: Leveraging Data, Partnerships, & Technology to Enhance the Credit Evaluation & Articulation Experience.
Category
Breakout Session
Description
Intended Audience: General Audience / Intended for Everyone
Submission ID: 24298
Room: Summit 6: 3/29/2023, 11:00 AM - 11:50 AM