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Dec 09 2025
Artificial Intelligence

AI Agents in Higher Education: Transforming Student Services and Support

Universities explore how AI agents and chatbots can streamline student services, automate support and empower IT teams.

As artificial intelligence chatbots for education gain traction on college campuses, more attention is being paid to the next phase of learning automation: the advent of AI agents that think for themselves and get things done without human intervention. These AI agents for education are designed to handle tasks autonomously, freeing up valuable time and streamlining campus services.

Years from now, autonomous AI agents might handle all the behind-the scenes complications of students changing their majors and administrators wringing efficiencies out of their supply chains. Today, AI functions on college campuses are becoming more agentlike, making decisions and taking actions within defined parameters.

What Are AI Agents for Education?

Much like real estate agents who handle offers and negotiations, AI agents in higher education are being developed to independently manage complex workflows, from assisting with student onboarding to streamlining administrative approvals.

At the University of Tennessee, Knoxville, a conversational AI platform called UT Verse showcases the growing role of AI agents for education. Based on large language models (LLMs) and generative AI, UT Verse’s assistants help students with everyday needs, such as accessing Wi-Fi, navigating dining options or getting coursework support. The tools also support faculty and staff, accelerating time-consuming research tasks and simplifying scheduling and communication. A translation app helps close communication gaps among multilingual students, teachers and staff.

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While AI assistants such as these comply with requests, they’re a long way from autonomous AI agents that weigh the pros and cons of multiple options and act without human oversight. Making that work in a campus environment is an immense challenge.

“Accuracy is always a problem if you’re going to fully automate things,” says Dan Harder, UT-Knoxville’s chief academic technology officer. Autonomous agents need human input to validate their assumptions and processes, he adds.

Harder notes that UT Knoxville’s technology teams work with the provost’s office to establish AI governance and guardrails. Policies define what kind of data AI tools can access and establish security and privacy controls to prevent, for instance, the use of private data in training AI models.

Education AI Agent Capabilities and Use Cases

Autonomous agents are still evolving, but the possibilities are growing.

Harder sees strong applications for using AI assistants in the campus HR department, including drafting job descriptions and summarizing the main points of extensive email threads. Just being able to use a tool such as ChatGPT to create the first draft of a report or memo can be a huge time-saver, he adds. AI assistants can help if your campus doesn’t have enough staff or budget to handle everyday challenges.

Similarly, researchers have noted a host of ways that agentic AI tools can potentially drive improvements in higher education. Agents will be able to gather data from multiple sources to assess a student’s progress across multiple courses. If the student starts falling behind, processes could kick in to help them catch up. Agents can relieve teachers and administrators from time-consuming chores such as grading multiple-choice tests and monitoring attendance.

The idea is catching on. Andrew Ng, co-founder of Coursera, launched a startup called Kira Learning to ease burdens on overworked teachers. “Kira’s AI tutor works alongside teachers as an intelligent co-educator, adapting in real-time to each student’s learning style and emotional state,” Andrea Pasinetti, Kira Learning’s CEO, says in an interview with The Observer.

Moreover, the Agent Laboratory at Johns Hopkins University crafted a framework for applying LLMs to review literature, write code and document research results. “Agent Laboratory significantly reduces research expenses, achieving an 84% decrease compared to previous autonomous research methods,” authors of an academic report about the lab write.

Jenay Robert
Chatbots are shifting from being merely informational tools to becoming active partners in learning, engagement and productivity across campus communities.”

Jenay Robert Senior Researcher, EDUCAUSE

AI Chatbots vs. Live Chat: Finding the Right Balance

Innovations in agentic AI will most likely build on foundations created by LLMs and generative AI. This obliges university leaders to think about the implications of automating conversations that used to be purely human-to-human.

“Chatbots are shifting from being merely informational tools to becoming active partners in learning, engagement and productivity across campus communities,” says Jenay Robert, senior researcher at EDUCAUSE. The organization’s 2025 AI Landscape Study asked respondents to share specific examples of AI use cases at their institutions. Chatbots were reported as the top institutionwide AI license, cited by 37% of respondents, Robert added.

“The key question is how to balance the strengths of these tools with the irreplaceable value of human insight and interaction,” Robert adds. “One of the main risks is that users may place too much trust in AI-generated insights, overlooking the critical context, judgment and ethical reasoning that humans bring to data interpretation.”

Robert and EDUCAUSE encourage higher education leaders to:

“By establishing these boundaries and supports, higher education leaders can foster a balanced partnership between human expertise and AI assistance that enhances, rather than replaces, meaningful learning and decision-making,” Robert advises.

At UT Knoxville, Harder’s top priority is aligning instruction with the job market’s AI requirements. “What I focus on most is making sure students are AI proficient when they graduate,” he says. Finance students, for instance, must be familiar with AI models their future employers will use every day.

Harder acknowledges the fears arising from emerging AI tools, whether they are chatbots or agentic applications that automate specific functions. The best way to deal with AI-related anxiety is direct exposure, he advises: “Explore, use it, see what it does for you.”

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