Categories: Showcase

An Analysis on the Impact of Data Viz. in Cornell University

This is the second post in our Data Visualization in Education series where we showcase how different universities are using data visualization in a meaningful way. Cornell University is an American private Ivy League research university located in Ithaca, New York. Founded in 1865 by Ezra Cornell and Andrew Dickson White, the university imparts education in all fields of knowledge—from the classics to the sciences, and from the theoretical to the applied. Since its founding, Cornell has been a co-educational, non-sectarian institution where admission is offered irrespective of religion or race. Cornell counts more than 245,000 living alumni, 34 Marshall Scholars, 29 Rhodes Scholars and 41 Nobel laureates as affiliated with the university. The student body consists of nearly 14,000 undergraduate and 7,000 graduate students from all 50 American states and 122 countries. Cornell’s University Diversity Council has adopted an institutional diversity planning framework titled, “Toward New Destinations” according to which they will pursue full inclusion as a central component of their values and in their approach to each other and the world around them. “This framework organizes diversity initiatives around four core principles: composition, engagement, inclusion, and achievement.
  • Composition refers to the demographic make-up of the unit or the institution,
  • Achievement reflects levels of attainment for underrepresented individuals or groups,
  • Engagement reflects personal, social, professional commitment to institutional goals and activities, and
  • Inclusion comprises climate and interpersonal relations.”
To monitor their progress in these four areas, Cornell University makes effective use of data visualization.

Composition Dashboard

The Composition Dashboard splits information across 5 tabs—Overall, Undergrad Students, Grad & Professional Students, Ranked Professors and Other Academics and Staff. The Overall page gives a snapshot view of the composition of the university both in terms of gender and race/ethnicity. Users can select the required semester from a drop down menu located at the right-hand side of the page. The individual tabs give more detailed information about each segment. For eg: The Undergrad Students page gives users information about the college-wise diversity in undergraduate courses (radio button at the left helps users select the respective college).

Achievement Dashboard

The Achievement Dashboard shares levels of attainment of the different groups, for eg: information about UG Grad rates (Freshmen who completed graduation within 6 years) and UG Retention in 2nd year (Percentage of Freshmen who return for second year). In addition, it also shares results from the Graduate Student Exit Survey of Master’s degree and PhD students. Drop down menus help users choose different parameters for comparison.

Inclusion & Engagement Dashboards

Similar to the Master’s Outcomes (Achievement Dashboard), the Inclusion and the Engagement Dashboards too share results of surveys conducted with the Undergraduate, Master’s and PhD students. These surveys measure various interpersonal factors that help contribute to an inclusive community and the students’ commitment to institutional goals.

Final Thoughts

Using interactive data visualizations, Cornell University makes the results of its extensive surveys available to one and all and that too in a form which can be easily understood. This lets different members of the community get value from these surveys. These dashboards are also instrumental in helping Cornell University track and monitor their progress towards achieving their goal of an inclusive community. In the next post of this series, read how The University of Texas System use the Productivity Dashboard to measure their productivity and bring in more transparency into the system. Related resource: 6 world-class enterprises (Walmart, Netflix, P&G, MailChimp, Twitter & Airbnb) making effective use of data visualization.

Reference

Shilpi Choudhury

Recent Posts

AI-Powered Documentation for Data Visualization & Analytics

Have you ever spent hours buried in documentation, hunting for a specific piece of code?…

3 weeks ago

Unveiling the Hidden Gems: Top 5 AI Data Visualization Tools for 2024

Do you feel like your data is a cryptic puzzle, locked away from revealing its…

1 month ago

Unleash the Power of AI: Smart Charting for JavaScript Developers

In web development, mastering JavaScript charting libraries is crucial for keeping up with the fast-paced…

2 months ago

Focus on the Magic, Not the Mundane: Ask FusionDev AI is Here!

Ever spend an afternoon neck-deep in documentation, searching for that one elusive code snippet? Or…

2 months ago

FusionCharts 4.0: Elevate Your Data Visualization with New Capabilities

In the dynamic world of data visualization, the need for precision and innovation has never…

2 months ago

How AI is Enhancing the JavaScript Charting Experience in 2024

Are you drowning in data but struggling to find the insights that drive real business…

4 months ago