Alyssa Wise

Presentation Abstract

Learning Analytics is a critical emerging technology that applies data science methods to the distinct characteristics, needs, and concerns of educational contexts to better understand and facilitate learning. Science Education is particularly well-positioned to take advantage of analytic advances as data collection, analysis and interpretation are core skills for development in scientific domains. But what does the future of analytic-supported science education look like and what benefits can it bring? Drawing on diverse examples from NYU’s Learning Analytics Research Network (LEARN) and beyond, Dr. Wise will illustrate how impactful analytics effectively integrate well-designed data collection, robust computation, and meaningful pedagogical questions to generate actionable insights into teaching and learning. The talk will conclude with an overview of social, technical and institutional factors necessary for building a successful learning analytics initiative.