Improving Student Outcomes Through a Community-Based Approach to Learning and Support
Concurrent Session 1

Brief Abstract
First-year math classes are often the gateway to an undergraduate degree. Success instills confidence, and opens the door to degrees in any field, including STEM. And yet, failure rates for first-year math at many institutions can be above 50%, having significant, long-term impacts on a student’s educational trajectory. In this session, Juliet Greenwood, Vice Dean for Educational Initiatives at Arizona State University will share her experience using digital communities to scale personalized support and dramatically increase successful completion rates among ASU Online’s first-year math students. She'll also share how ASU plans to extend the community-based approach across the institution.
Presenters

Katy is an impact-driven CEO who has spent 20 years creating solutions that extend access to high-quality education for every student. She is the co-founder and CEO of InScribe, an innovative collaboration platform that helps improve student engagement and build community with a focus on supporting non-traditional and underserved student populations. Leveraging her experience and strategic abilities, Katy specializes in ed-tech innovations, student success, and communities of belonging.

As the Vice Dean for Educational Initiatives, Dr. Greenwood works with the academic units at all ASU campuses, including deans, department chairs, faculty and staff to strengthen online programming and drive course development that transforms student learning experiences. In this role, Julie oversees Instructional Design and New Media, Learning Experience and Student Success, Adaptive and Personalized Learning, Assessment and Compliance, and the EdPlus Action Lab, leveraging data analytics and educational technology to improve and equalize degree completion. In addition, she is the EdPlus liaison to the University Innovation Alliance and the APLU Personalized Learning Consortium. Julie received her Ph.D. from the Neuroscience Program at the University of Alabama at Birmingham and is Associate Professor in the School of Mathematical and Natural Sciences in New College at ASU.
Extended Abstract