Live at ASU+GSV: How ASU Uses AI to Match Students with Right-Fit Degrees
Recorded live at the ASU-GSV Air Show, Mallory chats with Auryan Ratliff, Director of Creative and Emerging Technology at ASU Online. Auryan introduces us to a groundbreaking tool designed to alleviate choice paralysis among prospective students — ASU’s degree recommendation engine. Powered by generative AI, this tool personalizes degree selection based on a quiz that assesses a student’s preferences and educational goals.
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Show Notes
Recorded live at the ASU GSV Air Show, Mallory chats with Auryan Ratliff, Director of Creative and Emerging Technology at ASU Online. Auryan introduces us to a groundbreaking tool designed to alleviate choice paralysis among prospective students — ASU’s degree recommendation engine. Powered by generative AI, this tool personalizes degree selection based on a quiz that assesses a student’s preferences and educational goals.
Key Takeaways:
- AI-Powered Customization: The degree recommendation engine uses generative AI to match students with the ideal ASU degree based on their interests and career aspirations.
- Understanding Student Needs: The tool asks a variety of questions — from academic interests to desired workplace environment — to tailor degree recommendations effectively.
- Reducing Choice Overload: With over 800 degree options, ASU utilizes this AI tool to help students navigate their choices without feeling overwhelmed.
- Future of Educational Tools: Beyond degree selection, this AI initiative is poised to personalize the entire educational experience, including financial aid and course selection.
Guest Name: Auryan Ratliff, Director of Creative & Emerging Technologies at EdPlus at Arizona State University
Guest Bio: Auryan Ratliff is the Director of Creative & Emerging Technologies at EdPlus at Arizona State University and is currently leading a team responsible for building out the new Immersive Technology Initiative for EdPlus. Auryan and his team focus on designing solutions and enhancing the ASU technology stack for a variety of user experience challenges refining how users engage with higher education.
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