AI for U

In this Enrollify webinar, Balancing Bites and Bonds: How AI Can Humanize Higher Ed, Mallory Willsea and an expert panel dive deep into how artificial intelligence is transforming student engagement in higher education. Featuring AI for U host Brian Piper, Confessions of a Higher Ed CMO host Jamie Hunt, Generation AI co-host JC Bonilla, and The Hidden Gem host Maya Demishkevich, the discussion addresses the dual challenge of automating processes while maintaining meaningful, human connections. Through innovative examples, insights, and lively conversation, this episode provides a roadmap for leveraging AI to create more personalized and efficient student experiences.

Key Takeaways:

• AI as a Personalization Multiplier: AI enables hyper-personalization, allowing institutions to deliver tailored experiences at scale while freeing staff for high-touch student interactions.
• Balancing Efficiency and Empathy: AI can handle repetitive tasks and provide instant answers, allowing human advisors to focus on meaningful, personalized connections.
• Student-Centric Approach: Despite concerns, students generally value efficient solutions over the origin of communication, provided their needs are met.
• Ethical AI Use: Transparency, data security, and empathy should be foundational to AI implementations in higher ed.
• AI’s Potential for Scaling Impact: Tools like virtual assistants and predictive modeling have proven success in improving outcomes, such as higher grades and retention rates.

1. How does AI enhance student engagement without dehumanizing it?
Panelists agreed that AI’s strength lies in its ability to manage repetitive tasks and provide hyper-personalized interactions. For instance, Dr. JC Bonilla emphasized that AI acts as a "personalization multiplier," allowing institutions to address individual student needs with a level of nuance and efficiency impossible through manual methods alone.
AI-powered tools, such as predictive analytics, enable institutions to identify at-risk students early. Brian Piper shared a compelling example from Ivy Tech Community College, where AI monitoring alerted counselors to students in danger of failing, resulting in a 98% success rate for these students in achieving a C grade or higher.

2. What are examples of successful AI use in higher education?
Several panelists highlighted successful AI applications:

• Georgia State University: Direct text messages powered by AI helped first-generation students improve their grades by an average of 11 percentage points.
• Virtual Campus Tours: Maya Demishkevich shared an example where AI-powered avatars significantly increased engagement during online campus tours, providing institutions with scalable alternatives to human guides.
• AI Virtual Assistants: Institutions like Forsyth Tech have saved thousands of staff hours by automating responses to routine queries, enabling human staff to focus on higher-value tasks.

3. Do students care if AI is part of their experience?
Surprisingly, the consensus was that students care more about getting their needs met efficiently than whether the solution involves AI. However, transparency remains critical. As Brian Piper pointed out, institutions should disclose when AI tools are being used to ensure trust isn’t eroded.

4. What are the ethical considerations in using AI for student communications?
Panelists underscored the importance of ethical AI use, advocating for transparency, data security, and empathy as foundational principles. Jamie Hunt stressed the need to ensure AI-generated content aligns with institutional values and human oversight remains part of the decision-making process.

5. How can institutions address faculty and staff fears about AI replacing jobs?
To build trust, institutions should focus on training faculty and staff to use AI tools as enhancements to their roles, not replacements. As Maya Demishkevich noted, AI can save time by automating mundane tasks, allowing employees to focus on strategic, human-centric work. JC Bonilla added that embracing the role of “AI champions” within institutions can help bridge the gap between AI skeptics and early adopters.

6. What does the future of AI in higher ed look like?
Panelists agreed that AI’s future lies in hyper-personalization, advanced virtual assistants, and smaller, task-specific language models (LLMs). The emergence of AI "agents" tailored for distinct tasks will allow for even greater efficiency and impact.AI is transforming higher education by bridging the gap between efficiency and empathy. The insights shared in this episode reveal the exciting potential for AI to not only streamline processes but also amplify the human connections at the heart of higher education. To dive deeper, listen to the full episode of Balancing Bites and Bonds: How AI Can Humanize Higher Ed, and explore the possibilities for your institution.

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Connect With Our Host:
Brian Piper
https://www.linkedin.com/in/brianwpiper/

About The Enrollify Podcast Network:
AI for U is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! 

Enrollify is made possible by Element451 —  the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.

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