Promoting Student Engagement with Data-driven Practices^*

Online learning can present challenges and barriers for students, especially when it comes to self-motivation and discipline. Non-traditional learners and those who may be underprepared are often the students most likely to seek virtual learning options. As a result, methods of supporting online learners must be intentional and robust to stay attentive to students’ needs. The American Women’s College (TAWC) at Bay Path University designed its Social Online Universal Learning (SOUL) model to promote degree completion through a constellation of evidence-based practices that cultivate student engagement in a personalized online learning environment. SOUL employs an innovative adaptive technology approach with Universal Design for Learning (UDL) principles to promote accessibility and affordability. Foundational to these frameworks is a commitment to leveraging technology to gather data that drives action-oriented analytics, triggering interventions by faculty and staff and generating predictive models to inform wrap-around support. SOUL’s high-tech, high-touch attributes give students agency over their unique learning paths and provide instructors and administrators the meaningful insights needed to target efforts in a personalized yet scalable way, to promote and positively impact student success. Lessons learned in the process of developing data-driven “high-tech, high-touch” practices are presented.