OpenAI: CES ChatGPT Edu FAQ

The CES OpenAI service is designed to help you do your work, not create another administrative hurdle.

CES is expanding AI access so that people can learn how these tools can improve teaching, learning, administration, development, and other institutional work.

For most users:

1. Watch for your onboarding communication. It will explain when access is available and any steps you need to complete. 
2. Begin using the CES OpenAI service. You do not need to determine a service category before getting started. 
3. Complete the recommended or required AI training. Understand both the capabilities of the tools and CES expectations for responsible use. 
4. Use AI for real work. Experiment with appropriate tasks and identify where it can improve your effectiveness. 
5. Request additional capacity only when your work demonstrates a need for it. 

CES is moving from a project-based rollout to a more consistent CES OpenAI service. The goal is to make AI broadly available while providing a secure, supported environment for appropriate institutional use.

For most users, no action is required before the service reaches their organization or campus. Onboarding communication will explain when access is available and any steps that apply.

The CES Education core includes GPT-5.5 Instant, file uploads and analysis, Canvas and code execution, web search, projects, custom GPT creation, Library + Memory, and data export.

Additional capabilities may be introduced as the service evolves, including image generation, reasoning models, Deep Research, voice, recording and transcript reference, Office add-ins, connected data, Skills, Agents and Sites, Work in ChatGPT, and Codex developer workflows.

Feature availability reflects CES role policy and may change as capabilities and institutional practices evolve.

Not necessarily. Some capabilities may be enabled differently as CES aligns access with institutional roles, policies, security controls, and demonstrated work needs.

Differences in access are not a judgment about a person’s position, importance, or ability to use AI.

The service supports appropriate institutional use of ChatGPT, subject to CES policies and guidance.

Some activities and features may have availability or usage limits. These limits help CES provide broad access while managing the service responsibly.

Credits are a way of managing AI usage across the CES OpenAI environment.

Different AI activities may consume different amounts of capacity. More computationally intensive models or activities can consume more than simpler interactions.

For most users, the important point is: You do not need to calculate credits before using CES ChatGPT Edu.

Use the service normally. The credit system helps CES understand and manage overall consumption.

No.

Tokens are a technical measurement used by AI models to process text and other information.

Credits are the higher-level mechanism being used to manage available AI usage.
Most users do not need to manage tokens directly.

If a usage limit prevents you from completing appropriate institutional work, there will be a process for evaluating additional access or capability.

Users should not avoid productive uses of AI simply because they are concerned about credits. Normal usage will also help CES understand where additional capacity is genuinely needed.

Yes. If your work requires capabilities or capacity beyond what is currently available to you, an established request or exception process can be used to evaluate that need.

Additional information about that process will be communicated as part of the rollout.

Generally, no.

Start by using the new service for appropriate work. This will help both you and CES understand actual usage requirements.

If you encounter a meaningful limitation that prevents you from completing your work, that is a better indication that additional access may be appropriate.

Not necessarily.

AI requirements can vary significantly even among people with similar roles. Actual work requirements and usage may differ.

The service model is designed to accommodate those differences over time.

Not necessarily.

CES expects the service model to evolve as we learn more about how faculty, staff, students, and other users employ AI.

Included capabilities, usage allocations, and access processes may therefore change over time.

Follow the onboarding instructions provided for your CES OpenAI environment.

It is important to distinguish between your institutional CES ChatGPT Edu workspace and any personal ChatGPT account you may already have.

Institutional work should be performed using the CES-provided environment when required by CES policy and guidance.

Your personal ChatGPT account and your CES-provided access should be treated as separate environments unless specific migration instructions are provided.

Having CES-provided access does not necessarily mean that your personal account, conversations, settings, or subscription automatically become part of the CES environment.

CES ChatGPT Edu can assist with many common activities, including:

1. Brainstorming and exploring ideas 
2. Drafting and revising content 
3. Summarizing information 
4. Research and analysis 
5. Preparing presentations and communications 
6. Working with documents and data 
7. Coding and technical work 
8. Learning new concepts 
9. Improving routine workflows 

The objective of the rollout is not simply to provide another technology tool. It is to help faculty and staff identify responsible, useful ways AI can improve their work.

Use the CES-provided environment according to institutional privacy, security, data-handling, and acceptable-use requirements.

CES guidance should determine what institutional information may be used with AI. When uncertain about sensitive or restricted information, consult the applicable CES or campus guidance before submitting it.

Yes. Training and awareness resources are part of the rollout.

Users can expect guidance covering how to use AI effectively and responsibly within CES.

Additional resources will continue to be published as capabilities and institutional practices evolve.

Enterprise AI resources have real capacity and cost implications, and usage can vary dramatically between users.

A managed service allows CES to:

1. Provide AI access broadly 
2. Give most users enough capacity for normal work 
3. Provide additional resources where there is a demonstrated need 
4. Understand how AI is actually being used 
5. Manage institutional costs responsibly 
6. Adjust the service as AI capabilities and usage patterns change