AI in College Admission — Course Resources | UPenn
UPenn College Counseling Certificate Program  ·  2-Hour Session

AI in College Admission:
What Counselors Need to Know to Guide the Next Generation

2 Hours  ·  Live Zoom Session College & Career Counselors, Advisors, and Educators Resources by Edhub.ai / AICA Join the AICA Community on LinkedIn →

Session Overview

About This Session

Artificial intelligence is rapidly transforming the college admissions landscape — from how students discover schools to how applications are reviewed and decisions are made. As trusted guides in students' post-secondary journeys, counselors must understand these shifts to advise with clarity, confidence, and ethics.

This session will demystify AI's current and emerging role in admissions and post-secondary decision-making. Through hands-on demonstrations, ethical discussions, and real-world examples, you'll explore how AI is shaping opportunity and equity in education — and how to prepare students to navigate this evolving landscape responsibly.

Learning Objectives
🏛️

A clear understanding of how AI is being used by universities in the admission process

🛠️

Practical strategies for helping students ethically use AI for essays, career exploration, and school research

⚖️

Awareness of the ethical and equity considerations surrounding AI in admissions

🗺️

Actionable frameworks for integrating AI literacy into student advising across all post-secondary pathways

Session Agenda at a Glance
0:00–0:10
Welcome & FramingChat warm-up, setting expectations, comfort level context
0:10–0:25
Comfort Level ActivitySelf-assessment across 10 AI-related counseling activities
0:25–0:50
Section 1 — How Admission Offices Are Using AIProspect identification, marketing, chatbots, yield prediction, and application review
0:50–1:10
Section 2 — Student Use of AILive demo: AI-generated essay; tools students are using; the essay question
1:10–1:20
Break10-minute break
1:20–1:35
Section 3 — Counselor Use of AIHow AI can support your own practice: list-building, communication, admin efficiency
1:35–1:50
Section 4 — Ethics & EquityAccess gaps, bias, misinformation, the equity dimension
1:50–2:00
Section 5 — Advising in the Age of AIBuilding student judgment; closing comfort level reflection
Breakout
Case Study DiscussionsSmall group scenarios (Groups A–D)
1

Before the Session — Required Preparation

Please complete before class. The readings and videos below will help you arrive with enough context to engage meaningfully in discussion. We'll reference these materials throughout the session — you don't need to take detailed notes, just read/watch with curiosity.
Required Complete before class Go Deeper Optional extended reading Tool / Resource Hands-on resource Policy Policy-related
📰 Read — News & Current Events
📺 Watch — AICA Videos (Optional)
2

Section 1 Resources — How Admission Offices Are Using AI

These resources support our discussion of how university admission offices are using AI — across recruitment, marketing, chatbots, yield prediction, and application review.

🔍 Key Case Studies: Transparent vs. Opaque
🏫
Virginia Tech — The Transparent Approach
Virginia Tech publicly communicated their AI-assisted review model, framing AI as a tool to "confirm" human scores. A benchmark for responsible institutional communication. (Assigned reading — see Pre-Session above.)
Policy
🏫
UNC — The Opaque Approach
UNC used AI for essay scoring for five cycles before it became public through investigative journalism — not voluntary disclosure. (Assigned reading — see Pre-Session above.)
Policy
📄
UNC Confirms Admissions Essays Are Reviewed by Durham-Based Company's Technology
The follow-up story confirming UNC uses Measurement Incorporated's PEG engine — a machine-learning tool for essay scoring. Provides deeper context on how the technology actually works.
Go DeeperPolicy
📋 Admission AI Policies Padlet
📖 Additional Reading
3

Section 2 Resources — Student Use of AI

We will do a live demo in class using ChatGPT to generate a college essay. These resources provide additional context around what students are doing — and what that means for your advising practice.

4

Section 3 Resources — Counselor Use of AI

This section is about you — not your students. These tools and prompts are things counselors are actively using to save time and improve their practice.

5

Section 4 Resources — Ethics & Equity

AI tools are not equally accessible. These resources support our discussion of bias, misinformation, the equity gap, and what responsible AI use looks like in practice.

6

Section 5 — Advising in the Age of AI

The final section zooms out from admissions specifically to the bigger picture. Students are entering a workforce and world where AI fluency matters — and counselors are in a unique position to model critical, curious engagement with these tools. We'll close by revisiting your comfort level from the start of the session and reflecting on what has shifted.

Breakout Room Activity: You will be assigned to one group (A–D). Each group discusses one scenario for about 8 minutes, then shares a key takeaway with the full group in the chat.
Group A
A student submits an essay that you suspect was mostly AI-generated. What do you do?
Group B
A student asks you to review an essay they "wrote with AI help." It's well-structured but sounds nothing like them. How do you respond?
Group C
A student from a low-income background with no private counseling asks if they can use ChatGPT to help with their entire application. What's your guidance?
Group D
A parent emails you asking whether their student's school should ban AI tools entirely for college application support. How do you respond?
7

Go Deeper — Community & Continued Learning

This field is moving fast. Here's where to stay connected and keep learning after today's session.