Artificial Intelligence
Student-Centered Artificial Intelligence
At Ellucian, we're not just keeping pace with the AI revolution — we're leading it. Trained on the richest dataset available in higher education, our AI-powered solutions accelerate how institutions deliver student success.
Let's Shape the Future of Learning Together
Higher education is at an inflection point. Institutions need to future-proof against new and existing challenges while delivering lifelong value to their students. By infusing AI into modern solutions purpose-built for higher ed, we're partnering with institutions to harness the power of AI and unlock learning for all.
Higher Education's Dedicated AI Partner
Breadth and Depth of Student Data
Our technology serves 22 million students, providing the richest dataset in higher education to drive innovative uses of AI in our student success solutions.
Network of Strategic Partnerships
We go beyond interactions captured by our products, tapping into a broad ecosystem of partners whose data can enhance our own AI capabilities.
Understanding Higher Ed and AI
Our annual survey of over 400 higher ed administrators captures higher education's current AI adoption, priorities, and plans.
AI in Ellucian Solutions
Ellucian is leveraging AI to enhance capabilities, assist with operational efficiency, and improve the user experience.
Enhanced Generative AI
With data-driven mapping of every workflow performed in our products, our generative AI leverages rich contextual data to seamlessly guide users through their everyday tasks.
- Address common student questions and boost staff productivity with GenAI assistants that draft and explain complex information in easy-to-understand ways
- Deliver immediate, 24/7 support across various services such as admissions, financial aid, and course management
- Leverage chatbots to “prompt” new forms instead of creating them from scratch
Predictive Insights
Democratize data by providing a comprehensive view of performance across the institution, helping inform decisions around student success and institutional operations.
- Evaluate historical data with flexible predictive modeling to identify patterns for key outcomes like student retention
- Access detailed explanations and analytics to understand how each prediction is made
- Ask questions in natural language and receive answers based on information each user has permission to access
Lifelong Learning
Cultivate new and existing learners into workforce leaders by connecting the skills taught in the classroom to the ones required on the job.
- Help students monitor skill development, optimize course choices, and enhance their career paths using real market data
- Market to prospective and enrolled students more effectively by mapping curricular offerings to a skills taxonomy
- Apply identified skills to student profiles to create an engagement funnel for continuous learning
Ethics and Data Use Standards
AI and machine-learning encompass a wide range of powerful tools — ones we're committed to using responsibly. Ellucian first published our Ethics and Data Use Standards in January 2020, creating a foundation on which we've continuously built robust governance practices to guide every innovation.
People make the decisions
- Machine learning tools provide recommendations, but experts within your institution make the decisions.
- Ellucian's Data Ethics Committee ensures these uses meet our Ethics and Data Use Standards.
- We are transparent in how data is made available to inform its uses.
Tools are designed to help
- Our tools are designed to help institutions make decisions that promote student success.
- Tools identify ways for institutions to directly benefit and support users.
The models are transparent and auditable
- We inform customers up front on how the models work before decisions are made.
- Our AI surfaces why certain recommendations are made.
Personal data is used responsibly
- Personal data is required to train institution-specific models but is de-identified where possible and retained for only as long as required to train the models and for no longer than six months.
- Datasets are not used across institutions without the consent of all those involved.
Biases are and will be identified
- We work to identify existing biases in datasets that are used to train the models.
- We acknowledge positive and negative biases exist.
- We use tools to identify potential biases in human decisions.
- We identify biases in results and give our customers options to correct.
Future-Proofing Higher Education
