Session Details

We know many of your institutions have a journey similar to UCI’s, cutting across institutional silos and bringing together not just the data but the people who can contribute to and positively impact student success.

This symposium is an opportunity to bring together like-minded institutions and people. Many sessions will include presenters or panelists from more than one organization, and more names may be added to sessions over the next few weeks. All sessions will be held in our unique Anteater Learning Pavilion.

DAY 1 – March 25

9:00 – 10:00 am

Keynote – From Zero to 100+: A Lifelong Model of Higher Education Model That Serves All

By design, universities have largely supported an exclusive and rigid path: finish high school, get into college, graduate, and then join the workforce. But the world is changing fast, and so should our approach to education. It’s time to shift from a linear, exclusive journey to a flexible and accessible one – where learners can continually enhance their skills and knowledge, no matter where they are in life. Join Maria Anguiano, executive vice president of ASU’s Learning Enterprise and UC Regent, as she shares actionable strategies to close the access and achievement gaps and ensure our institutions are ready to help learners thrive during all stages of their life – from kindergarten through retirement. Explore how artificial intelligence and other technologies can help us scale and impart in-demand skills. Further, data is a key pillar for understanding learner needs and the success of universities, and every data point tells a story. Anguiano will delve into personal experiences of learners that underscore the importance of lifelong learning innovation.

Presenter: Maria Anguiano – Arizona State University

10:15 – 11:15 am

Equitable Strategies for Identifying / Mitigating Harm in Student Data Analytics

Utilizing the Boyer 2030 Commission’s equity/excellence imperative, explore equitable strategies in student data analytics through the discovery of actionable approaches to assessing and addressing unintended consequences in data-driven decision-making paradigms.

Presenters: Astrud Reed – UCI | Tasha M. Dannenbring – Unicon

11:15 – 12:00 pm

Evolving Our Dashboards to Capture Equity in Student Learning

How can we measure and improve equity in student learning? This presentation showcases an approach that leverages existing course assignments to assess and visualize equity gaps in program-level learning outcomes.

Presenter: Erica Bender – UC Davis

1:00 – 2:00 pm

Are dashboards anti-equity? How can we do better?

Data dashboards are ubiquitous in higher ed, but “dashboard thinking” can limit problem solving and stymie institutional change. Session participants explore the equity implications of dashboard basics like gaps, small cells, and filtering, and then go back to the drawing board to imagine a suite of better tools.

Presenter: Laura Kertz – UCOP

2:00 – 2:45 pm

Learning To Trust Your Data Tools

The shift to better utilizing data is as much cultural as technical. Learn how UCI’s largest Student Affairs team is moving from skepticism to (more) trust in data tools.

Presenters: Raven Yoshitomi – UCI | Melanie Nakanishi – UCI

3:00 – 4:00 pm

Expanding the Definition of Student Success with Career Readiness Analytics

Engage with our panelists to explore ways to leverage student data to provide students with custom, adaptable career readiness activities.

Panelists: Suzanne Helbig – UCI | Kavita Sharma – Columbia University | Mark Presnell – Northwestern University | Daniel Newell – San Diego State University

4:00 – 5:00 pm

Poster Session / Networking

If you’d like to present a poster at our March 25th Poster Session & Networking event, please complete the poster submission form. We’ll send confirmations for accepted posters on a rolling basis. You must be a registered symposium attendee in order to present a poster. Dimensions and further details will be sent in the confirmation email.

DAY 2 – March 26

9:00 – 10:00 am

Data-Rich, Holistic Teaching Evaluation as a Pathway to Faculty and Student Success

Faculty reward and evaluation processes are a key lever in the promotion of both student and faculty success within the complex higher education system. The panelists represent two different reform efforts in teaching evaluation: TEval involving four universities and HET at UCLA. They will describe how they have developed and implemented teaching evaluation methods that draw on multiple forms of data, representing multiple voices, to better support and value faculty work involved in effective, equitable and inclusive teaching.

Panelists: Andrea Follmer – University of Kansas | Gabriela Cornejo Weaver – University of Massachusetts Amherst | Adrienne Lavine – UCLA | Glory Tobiason – UCLA

10:00 – 11:00 am

Curricular Analytics: Using Curricular Complexity to Understand Student Graduation Outcomes

This session addresses curriculum structure and student success. Exploring changes to curriculum structure and the relation to graduation outcomes shows that structure can inhibit or facilitate student progress.

Panelists: Kameryn Denaro – UCI | Greg Heileman – University of Arizona | Carlos Jensen – UC San Diego

11:15 – 12:00 pm

Empowering Students to Learn with AI-Partnered Human Interventions

The Prenostik Student Learning Dashboard (SLD), a National Science Foundation-funded project with UC Irvine origins, leverages learning data and AI to improve student success and narrow equity gaps in education.

Presenter: Patrick Hong – UCI

1:00 – 2:00 pm

Student Life Analytics Panel

This session will bring together representatives across institutions and areas of campus to explore strategies, challenges, and shared goals related to integrating co-curricular engagement data with existing student success data.

2:00 – 2:45 pm

Bridging data-intensive research and equity-oriented institutional practices

A session showcasing actionable insights from recent campus data analytics research at UCI to inform equity-oriented institutional practices around key issues like instructional design, predictive analytics, and generative AI.

Presenter: Renzhe Yu – Columbia University

2:45 – 3:30 pm

Safe and Powerful Possibilities of Synthetic Learning Data

Unizin has created “synthetic datasets” representing learners and learning environments. Neither the data nor students are real; however, these realistic-looking data explore possibilities for learning analytics without directly exposing students.

Presenters: Kyle Unruh – Unizin | Sara Bolf – Unizin