John Fritz
Assoc. VP, Instructional Technology,
University of Maryland, Baltimore County
Social and Emotional Learning as a Student Success Analytics Variable
On Demand
Session Type:
Virtual
Delivery Format:
On-Demand
Clickstream data from LMSs and other educational technologies has been repeatedly demonstrated to predict course-level student success, but why are these predictions accurate? We will present research results from five courses (n = 927 students) that evaluate the relationship between social and emotional skills (e.g., grit, tenacity, curiosity), edtech clickstream data, and student background characteristics. The significant results show the power of these constructs and advanced analysis methods.
Outcomes: Understand current approaches in predictive learning analytics and the limited work in construct-aligned predictors * Identify social and emotional skills that apply to students at your institution * Apply research findings to your students and identify effective practices or potential methods you could apply in your own analytics
Outcomes: Understand current approaches in predictive learning analytics and the limited work in construct-aligned predictors * Identify social and emotional skills that apply to students at your institution * Apply research findings to your students and identify effective practices or potential methods you could apply in your own analytics
