Generative Artificial Intelligence, also known as GenAI, is a tool that is programmed to generate text, images, code, and other content. Here, you can learn more about GenAI and explore opportunities to use it most effectively to support learning.
What is Generative AI?
GenAI is a complex computer program that:
- is programmed to respond to user prompts and participate in human-like conversations.
- uses information gathered from books, articles, the Internet, and other publicly available resources to produce its answers. This is called the GenAI’s dataset.
- is often referred to as a large language model (LLM).
How does Generative AI work?
GenAI begins with the user entering a prompt, or input, into a GenAI program.
- Using human-like language, GenAI provides a response, or output, using the dataset with which it was trained.
- It predicts what the next word or phrase could be by searching for patterns, based on what it has learned.
- Most free GenAI programs do not search the Internet to provide answers because GenAI is not a search engine.
Learn More About Generative AI
For a more in-depth explanation of Generative AI, complete ACE's module, "An Introduction to Generative AI."
Generative AI Considerations
Content Accuracy
- GenAI is capable of making up information, commonly referred to as hallucination.
- Free GenAI programs do not have access to real-time information and may not provide current information.
- Always check GenAI's output with a trusted source, such as Germanna Library databases.
- Information from GenAI that is not considered common knowledge should be verified with a trusted source and cited if used in academic work.
Privacy Concerns
- GenAI may learn from and retain information provided by a user.
- Be cautious about inputting personal information into GenAI.
Other Considerations
- It is unlikely to receive the same GenAI output twice, as responses can vary depending on how the GenAI was programmed.
- GenAI cannot think for itself, process information, or feel emotions.
- Written responses and graphics from GenAI may be biased or stereotypical.
- Always check individual professors’ GenAI policies before using it for an assignment.
Using Generative AI as an Academic Tool
GenAI can be a helpful educational tool. Here are a few ideas for using GenAI academically:
- Brainstorm topics
- Organize ideas
- Debug code
- Create practice questions, flash cards, or study plans
- Simplify difficult concepts
- Review information
- Create images and presentations
- Provide adaptive (personalized) learning opportunities
Writing Effective Generative AI Prompts
It is important to craft an effective prompt in order to receive the desired response, or output, from GenAI. Here are a few tips to keep in mind.
- Include specific background information. The more information submitted to GenAI, the more effective the output.
- Provide clear instructions. Tell GenAI exactly what format of output is needed.
- Consider asking follow-up questions in order to receive the output needed. Think of this process as a chain of prompts.
Generative AI Resources
The Academic Center for Excellence created the following handouts to help students expand their knowledge of GenAI:
- Generative AI Citation Guide
- How to Write an effective Generative AI Prompt
- Using Generative AI as an Academic Tool
Evaluating Generative AI Responses
Always consider the following questions when evaluating GenAI responses:
- How does the language sound?
- Does it make sense?
- Is it accurate?
- Does the information need to be cited? Is it common knowledge?
- Is this my voice?
Always think critically about GenAI output, and do not be afraid to question or disagree with a response. Remember, your professor is more interested in learning your thoughts, not what GenAI thinks.
Citing Generative AI Models
Always check an instructor’s GenAI policy before utilizing it for an assignment. When using information from GenAI, please refer to the following citation guidelines: