Engaging Faculty in the Research of Student Success

Indiana University is pleased to host its 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 purpose of the summit is to advance a data-informed campus culture, facilitating the widespread use of learning analytics by faculty who are interested in using it to conduct scholarly inquire about their students, courses, and programs. 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.

Who Should Attend

Whether your institution is new to learning analytics or has well established initiatives, you will find the summit a worthwhile experience. The summit is meant to advance faculty engagement with big data and predictive models and is intended for:

  • Faculty who are using, or plan to use learning analytics to improve teaching, learning and student success
  • Administrators and department staff who are supporting, or plan to support faculty in their learning analytics research about student success
  • Teaching center staff and educational developers
  • Institutional Research Office personnel who are working with faculty on student success initiatives


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.


Goals 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