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Transitioning from Tools to Teammates

Agentic AI in Higher Education

Presented by: Mehwish Abbasi

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Agentic AI

Agentic AI refers to autonomous systems that go beyond generating content to actively achieving goals by planning, reasoning, and taking action independently.

Unlike traditional AI that waits for prompts, agentic AI operates with minimal human oversight, utilizing tools and workflows to execute complex, multi-step tasks.

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Now

You define the objective; it plans and executes.

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Introduction to the Agentic AI

HANDS-ON ACTIVITY — 20 MINUTES

Design Your Own Digital Colleague

We will use the next 20 minutes to transition from passive learners to active architects. You will design a n agent.

Activity Goal: Select a common university bottleneck and design an autonomous agent to manage it.

Role & Objective

Persona

Knowledge Base

Available Tools

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The Shift

We are moving past the "Chatbot Era." The technological frontier is shifting from Generative AI (a reactive tool for content creation) to Agentic AI (a proactive digital colleague capable of autonomous goal execution).

Then

You asked; it generated.

Now

You define the objective; it plans and executes.

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Anatomy of an Agent

An "agent" is an LLM augmented to behave autonomously.

Reasoning / Planning

Breaking a major goal down into manageable sub-tasks.

Tools (Actions)

Accessing external software (Search Engines, LMS, SIS, Email APIs).

Memory (Context)

Remembering past interactions (Persistence) over days or months.

Feedback Loop

Assessing if an action worked, and adjusting the plan dynamically.

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The Personalized Learning Opportunity

Scaling Hyper-Personalization

Generative systems excel at content, but Agentic AI manages the student journey.

Reactive Model

Students ask ChatGPT for help after they are confused.

Proactive Model

An agent, embedded in the LMS, monitors engagement. It notes a 24-hour absence before an exam and proactively reaches out with personalized tutoring links, practice problems, or a sympathetic prompt.

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Institutional Efficiency: The "Digital Colleague"

From Chatbot to Co-Pilot

Agentic systems shift the burden of repetitive administrative workflows.

🎓 Degree Navigators

Instead of providing a static checklist, the agent uses Registrar APIs to identify course availability, prerequisites, and conflicting schedules, producing a valid four-year plan.

🗂️ Administrative Assistants

Automatically organizing peer-review cycles in an LMS or initial screening of admissions documentation.

🔬 Research Teammates

Independently conducting literature reviews and synthesizing data sets according to defined research goals.

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Summary:

The evolution to Agentic AI is less about better technology and more about distributed labor.

By offloading complex, multi-step workflows to autonomous agents, universities can return to their core mission: fostering deep human connection, critical thinking, and high-level mentorship.