Wednesday, April 22 · Carolyn Pope Edwards Hall · ~50 morning / ~60 evening

A morning with OpenAI on ChatGPT Edu and Codex, and The Great Prairie Prompting Show in the evening.

Morning presenters: Fabio Mori (Account Director, OpenAI) and Keelan Schule (Solutions Engineer, OpenAI)

Evening hosts: Beth Niehaus and Guy Trainin (College of Education and Human Sciences). Guy Trainin served as emcee.


Today's Sessions

Time Session Location
9:00 - 9:45 AM ChatGPT Edu CPEH 227
10:00 - 11:15 AM Codex CPEH 227
11:30 AM - 12:00 PM Office Hours with OpenAI CPEH 227
4:00 - 7:00 PM The Great Prairie Prompting Show CPEH 227

Morning: OpenAI Day

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UNL has worked with OpenAI since June 2024, one of OpenAI's earliest education customers. The morning was built around that history. This was an active-account training, a walk through the state of the platform with a room already using it.

Featured Presenters

Fabio Mori: Account Director at OpenAI. UNL's primary OpenAI contact since the partnership began in June 2024.

Keelan Schule: Solutions Engineer at OpenAI. Led the deep dives on both ChatGPT Edu and Codex.


Themes & Takeaways

The ChatGPT Edu Environment

The Edu environment provides enhanced security and data privacy compared to personal accounts. Conversations stay private to the individual user and are disconnected from OpenAI's training pipeline, so sensitive information can be shared in line with campus guidelines. Edu accounts also unlock the latest models, higher message limits, and Deep Research.

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Images 2.0

A major release dropped the day before the session. The new image generation model produces 2K-resolution images, follows instructions more faithfully, and renders text accurately enough for magazine covers, infographics, and brand-aligned design materials. The model performs research before generating, pulling in logos and brand colors automatically. Users can generate multiple pages at once and edit specific portions of an image without regenerating the whole thing.

Effective Prompting

Strong prompts include three ingredients: context (who you are), task (what you want), and expectation (format and length). Not every prompt needs this structure, but the shape helps for substantial outputs.

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