About the Summit

Engaging Faculty in the Research of Student Success

Indiana University is pleased to host the 2nd annual Learning Analytics Summit with the theme of Engaging Faculty in the Research of Student Success. Led by Indiana University’s Center for Learning Analytics and Student Success (CLASS), the summit brings together leaders from the field of learning analytics with faculty who are using, or who are interested in using learning analytics in scholarly inquire about their students. The purpose of the summit is to facilitate the widespread use of learning analytics by faculty, providing them with the support they need from administrators, departments, and institutional research offices. In that way we can  collaboratively create a sustainable, data-informed culture focused on student success in higher education. Keynote talks, presentations and working sessions will address the opportunities, issues and pressing concerns around the use of big data, learning analytics and predictive modeling at institutions of higher learning.

 

Cost and Registration

There is no fee to attend the summit, but space is limited, so please register early. Poster sessions, lighting round presentations and short paper presentations will provide opportunities for you to share your own learning analytics projects. During the summit, you will collaborate in working groups on specific topics selected to help us further engage in the research of student success in such a way, that you will leave with actionable outcomes to pursue back at your own institution.

 

Goal and Outcomes

The summit will foster a multi-institutional community to advance the research and application of big data and learning analytics for student success at the course, program, and institutional levels of higher learning.

By the end of the summit, you will have had the opportunity to:

  • Contribute to working group sessions that will help to further engage faculty in the research of student success.
  • Identify strategies that will overcome roadblocks to making the data useful on our campuses
  • Discuss the current trends and usage of learning analytics both nationally and internationally
  • Showcase the work occurring on your campus and how it contributes to student success
  • Establish new connections and nurture existing social networks with institutions and colleagues working in the field

Who should attend?

  • First and foremost, faculty involved, or who would like to be involved, in research that uses learning analytics to investigate teaching, learning, and student success
  • Administrators who have an interest in student success and want to explore new opportunities and support faculty use of learning analytics at their schools
  • Staff who play an integral role in providing big data and Learning Analytics to faculty who are conducting research about teaching, learning, and student success