Data-informed Stories, Transformational Journeys: Indiana University’s 3rd Annual Learning Analytics Summit

“No one ever made a decision because of a number. They need a story.”
--Daniel Kahneman, Nobel Laureate in Economics, 2002

For those of us dedicated to transforming teaching, learning, and student success in higher education, Kahneman’s words certainly ring true, especially when we work with learning analytics. We need compelling stories to accompany our data analyses. Stories that inspire critical reflection about our students and their performance. Stories about the inequities in our college classrooms. Stories that encourage faculty to take action. And yes, stories that will transform the teaching cultures in our programs and departments.

Come and share your stories about how faculty are engaged with learning analytics at your school. Hear what stories others have to tell. Leave with ideas and action plans to take back home. Like past years, the summit will include keynote speakers, working groups, invited guest speakers, and multiple breakout sessions. The breakouts will provide opportunities for sharing work in both 20-minute sessions and shorter lightning round presentations.

This year's summit is virtual, and all events will be live, recorded, and available for four months after the summit. 

To view other videos from the 3rd Learning Analytic Summit, please visit our Kaltura Channel.

Learning Analytic Summit Playlist 

About the Learning Analytics Summit

Indiana University is pleased to invite you to its annual Learning Analytics Summit.  Led by the Center for Learning Analytics and Student Success (CLASS), the summit will be held virtually on May 12-14th 2021 from 1PM-6PM EST. The purpose of the summit is to cultivate a knowledge building community with a shared interest in in furthering faculty engagement with the widespread, sustained use of learning analytics.  

Our summit is premised on the idea that faculty involvement with the use of learning analytics is critical to the establishment of a data-guided culture within higher education. With their expert knowledge about their students, disciplines, courses, and programs, instructors of all ranks are in the best position to take advantage of the new insights learning analytics can provide. And in many ways, they are also the ones most capable of making changes based upon those new insights. This can provide all higher education stakeholders with a better understanding of the challenges, opportunities, and choices students face as they travel on their individual pathways toward receiving a college degree. 

Through keynote talks, presentations, and working sessions, we will address both the opportunities and barriers of providing learning analytics, data dashboards and predictive models to faculty at institutions of higher learning. 

Attendees

Who Should Attend 

Whether you or your institution is new to learning analytics, or have well established initiatives, you will find the summit a worthwhile experience. The summit is designed to meet the needs of:  

  • Faculty who are using, or plan to use learning analytics in their scholarly research about 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 responsible for transforming teaching and learning cultures at their schools   
  • Institutional research office personnel responsible for working with faculty, staff and administrators on student success initiatives 

Register

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