Academic Resource Center

Student AI Literacy Series Companion Page

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Welcome to the Student AI (Artificial Intelligence) Literacy Series. This is an 8-part workshop series relevant to everyone, not just those interested in learning about AI.

Generative AI is quickly becoming an unavoidable part of every-day life. It's important that every college student graduates with the literacy skills necessary to use, encounter, and question GenAI in the real world. This series covers the most essential topics in AI literacy, from the basics of understanding machine learning to applying new critical thinking skills. 

Use this companion page to identify the topics for each part of the workshop series, to follow along each week by clicking the dropdown, and to explore these subjects further by following the links provided. 

You can sign up for the workshop series each week from the "workshops" tab on the Academic Support Center homepage. 

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Expand or collapse content Week One: Intro to AI Technology and Literacy

Part one of the AI Literacy workshop series covers:

  • A brief history of AI technology
  • The basics of what AI technology is
  • How GenAI and Machine Learning work
  • How Large Language Models (LLMs) work
  • What AI literacy is and why it's important
  • The differences between AI and human "thinking" and communication

Understanding the basics provides a foundation for all other literacy and knowledge to build. To use tools effectively and ethically, we need to understand what these tools are and how they work. 

The image below is taken from the workshop. It explains why AI Literacy skills are necessary.

A screenshot of a slide that says "Why do college students need to learn AI literacy?" A list next to the question says, "Clear academic boundaries, workplace expectations, mitigating risks, navigating ethics, moving forward as humanity."

The image below is taken from the workshop. It explains what AI Literacy includes.

A screenshot of part of a slide titled "AI Literacy." The list says, "knowing how GenAI works, Knowing how to use GenAI--and use it well, developing output evaluation skills, understanding risks and ethical considerations of GenAI technology, developing skills for mitigating harms, knowing how to differentiate AI generated content from human created content, understanding the fundamental difference between AI and human communication."
Expand or collapse content Week Two: Charting Ethical Mazes in an AI World

Part two of the AI Literacy workshop series covers ethical issues such as:

  • Academic Integrity
  • Copyright
  • Privacy and Security
  • Environmental Impact
  • Labor and Job Replacement
  • Critical Thinking
  • And Other Potential Harms

It's important for people to understand the ethical considerations of new technology and tools before using them. It's not enough to consent to use or encounter these tools, it needs to be informed consent. Informed consent means fully understanding potential risks and consequences before engaging with something.

Expand or collapse content Week Three: GenAI at SNHU

Part three of the AI Literacy workshop series covers SNHU's policies and guidelines for GenAI. In this workshop, you will learn about:

  • SNHU's Student Use Guidelines for GenAI
  • Your rights as a student at SNHU regarding privacy and AI use
  • Expectations for disclosure and transparency
  • Tools that have been vetted by SNHU's AI team

Before using AI as a student at SNHU, it's necessary to be aware of the policies and guidelines SNHU has provided regarding AI use. These guidelines will not only provide clear boundaries for academic integrity, but they also help you navigate using GenAI in ways that enhance your learning experiences instead of replacing vital learning and skill development. Following these guidelines will ensure you are prepared for your future career. 

The infographic below reviews SNHU's Student Use Guidelines for Generative AI use. You can view the original resource with a screen-reader compatible text version of the infographic at our Academic Resource Center page 8 Tips For Students Using Generative AI (Infographic)

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Expand or collapse content Week Four: Building AI Fluency

Part four of the AI Literacy workshop series covers AI fluency skills including:

  • The difference between AI fluency and AI literacy
  • How to choose the right AI tools
  • Prompt Engineering (how to write quality prompts for GenAI)
  • Prompt Refining
  • Ways to practice using GenAI

If you want to learn and develop the skills to use AI tools effectively, or you plan to go into a career or industry that expects employees to have these skills, this is the workshop for you. 

The image below is taken from the workshop. It breaks down the P.R.O.M.P.T. method of prompt engineering. For a screen-reader compatible text-only version, see the dropdown below the image. 

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Expand or collapse content Screen-Reader Compatible Text Version of P.R.O.M.P.T.

P.R.O.M.P.T.

  • P for Purpose: What is the reason for the prompt?
  • R for Role: Give the AI a role to play (editor, instructor, mentor, partner, assistant)
  • O for Organize: Structure your prompt logically, provide clear context
  • M for Model: Specify a clear desired outcome and provide examples if relevant
  • P for Parameters: Provide context, details, scope, boundaries, and limitations that are relevant. Set up necessary gaurdrails.
  • T for Tweak: Read through before sending. Evaluate the output. Refine and re-prompt if necessary.
Expand or collapse content Week Five: Beyond the Outputs of GenAI

Part five of the AI Literacy workshop series covers AI output evaluation and assessment. The topics covered will include:

  • How to assess outputs for relevance
  • How to assess outputs for usefulness
  • How to assess outputs for accuracy
  • How to assess outputs for bias
  • And how to ensure your work contains a human contribution

Output evaluation and assessment is one of the most important AI literacy skills you can have if you plan to use AI tools to assist you in doing your own projects or work. 

The image below is taken from the workshop. Use it as a visual reminder of how to check AI outputs for relevance. 

Screenshot of a slide that says: "To check relevancy: check against your own understanding, identify gaps, and compare to a model or rubric."

The image below is taken from the workshop. Use it as a visual reminder of how to check AI outputs for accuracy. 

A screenshot of a slide that says: "How to fact-check AI: Search laterally, refer to experts, and compare multiple results."

The image below is taken from the workshop. Use it as a visual reminder of how to check AI outputs for bias. 

A screenshot of a slide that says: "How to evaluate AI outputs for bias: Inquire broadly, prompt the AI to identify bias, seek other perspectives, cultures, and experiences."
Expand or collapse content Week Six: Critical Thinking Still Required

Part six of the AI Literacy workshop series explores how critical thinking is still necessary when using AI tools. Some of the topics discussed are:

  • Why AI should enhance critical thinking, not replace it
  • Using critical thinking to evaluate why AI is being used before using it
  • Using AI as a learning tool, not a replacement for learning
  • Using AI for creativity and skill development without offloading critical thinking
  • The similarities between AI literacy and Media literacy
  • Using critical thining to evaluate bias in AI
  • Self-reflection and self-honesty as necessary critical thinking with AI use

Off-loading critical thinking is one of the main concerns regarding GenAI tools. But it is completely within your control to use AI in a way that enhances and provides new opportunities for critical thinking instead of offloading it. 

The image below is of the GenAI Decision Tree for Students. You can find this resource and a screen-reader compatible text-only version of the Decision Tree in our Academic Resource Center Guide GenAI Student Decision Tree (with Infographic)

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Reflection Questions to Ask Yourself After Using AI

  • What will I do with the AI output?
  • What was the outcome of my output evaluation?
  • How much revision was needed? Did I need to correct hallucinations?
  • Was the AI helpful? Did it save me time, resources, or provide me with more equitable access to a task?
  • Would I use AI like this again?
  • How would I do things differently next time to improve results or usefulness?
  • Was this tool an effective choice? Would I use a different tool next time?
  • Are my own ideas, work, and voice still reflected in the results? 

AI Self-Audit Questions for Regular Reflection on AI Use

  • How much do I rely on AI?
  • Do I attempt the task myself first?
  • Do I use AI ethically and cite it when I have?
  • Am I developing and using my own voice consistently in my work?
Expand or collapse content Week Seven: GenAI in the Evolving Workplace

Part seven of the AI Literacy workshop series covers the ways AI is changing workplaces, including:

  • Which industries are impacted the most
  • The AI literacy skills that employers feel are most important for job candidates to have
  • Ways AI can be used for good in certain industries and workplaces
  • Predictions and projections for the future professional world

Some workplaces and industries are adapting AI technology more rapidly than others. Some industries now even expect job candidates to already have the skills and experience to use these AI tools. This workshop will explore the evolving professional landscape and what you can expect moving into or forward in your career. 

Top AI Literacy Skills for the Workplace

  • Prompt Engineering (learn more in week 4)
  • Critical Thinking (learn more in week 6)
  • Problem-Solving (learn more in week 6)
  • Creativity (learn more in week 6)
  • AI ethics and bias (learn more in weeks 2, 5, and 6)
  • Collaboration (learn more in week 5)
  • Communication (learn more in week 1)
  • Continuous Learning (learn more in week 6)
Expand or collapse content Week Eight: Navigating AI Like a Pro

Part eight of the AI Literacy workshop series teaches you how to apply AI literacy skills to the real world. This workshop covers:

  • How to detect AI generated content online (including deepfakes and AI generated text)
  • How to self-monitor your own learning when using GenAI tools
  • How to self-monitor your own decision making regarding GenAI use

This week of the workshop is relevant to everyone, including those who don't plan to use AI themselves. Encountering AI in the real world is already unavoidable, and it will only become more prevalent. Knowing how to navigate an AI world equips you to think more critically about the content you encounter on a daily basis and protects you from misinformation and disinformation. 

Identifying AI Content

1. Identifying Deepfake Images

  • Does the image seem surprising or shocking?
  • Is the anatomy accurate? Do body parts run together? Are body parts missing? Are there extra body parts?
  • Does the style seem hyper-realistic or cartoonish?
  • Do items in the image function properly?
  • Does the image follow the rules of physics with shadows, light, reflections, etc?
  • Does the image represent accurate sociocultural plausibilities? 

2. Identifying Deepfake Videos

  • Does the video seem surprising or shocking?
  • Do age features in skin, eyes, and hair match?
  • Look carefully at eyes and eyebrows--do they move in a natural way? Does the person blink too little or too much?
  • Look at lip movements. Do the lip movements seem natural?
  • Are shadows appearing in places you expect them to? Are the natural physics of a scene being followed?
  • If the person is wearing glasses, is there a glare when we expect there to be? Does the glare shift as they move? Is there too much glare?

3. Identifying AI Writing

  • Over-polished with perfect, standard grammar
  • Uniform sentence structures (low "burstiness")
  • Generic tone
  • High predictability
  • Repetition of words and phrases

Monitoring Learning with AI

The image below is a screenshot from the workshop. It shows Bloom's Taxonomy and questions to reflect and self-monitor learning when using AI tools. 

A screenshot from the workshop of Bloom's Taxonomy pyramid. The order of the pyramid from bottom to top is: remember, understand, apply, analyze, evaluate, and create.

Self-monitoring questions:

  • Could I do this on my own?
  • Am I becoming an expert in my field?
  • Have I learned the material to the level that I could create something new? (this means not skipping any steps in Bloom's pyramid)

Additional Tips:

Need More Help?

Visit our platform to schedule a 1:1 with a coach or sign up for a workshop.  *If this link does not bring you directly to our home page, please use our direct link to "Academic Support" from any Brightspace course at the top of the navigation bar. 

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