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Technology Department

Artificial Intelligence (AI) Literacy Overview

We will implement a multi-tiered AI literacy curriculum by strategically integrating high-quality, open-source resources from global leaders including Learning.com, MIT RAISE, Common Sense Media and aiEDU. This hybrid approach ensures that instructional materials are not only pedagogically sound but also strictly aligned with NIST cybersecurity standards and ISTE student competencies, providing a rigorous foundation for AI fluency across all grade levels.

 

Classroom Integration Strategies

  • Pre-K - 2nd Grade: 
    Teacher-Led Demonstrations: Use AI as a "class assistant" visible to all
    Digital Citizenship: Privacy and online safety, digital footprint
    Introduction to “Smart” Technology: Computers need instructions, recognizing when technology helps us
    Key Focus: Building AI literacy and critical thinking from an early age
  • 3rd - 5th Grade:
    Teacher-Led Demonstrations: Use AI as a "class assistant" visible to all
    Story Generation: Create collaborative stories with AI suggestions
    Math Practice: Generate grade-appropriate word problems
    Reading Support: Use AI for vocabulary explanations and reading comprehension
    Digital Citizenship: Privacy and online safety
    Key Focus: Building AI literacy and critical thinking from an early age
  • 6th - 8th Grade:
    Research Skills: Teach how to verify AI-generated information
    Writing Process: Use AI for brainstorming and outlining (not drafting)
    Project-Based Learning: AI as a research tool with proper citations
    Digital Citizenship: Discuss AI ethics and responsible use, digital footprint, and privacy
    Limitations of AI: Discuss AI biases, fairness, and limitations
    Academic Integrity: Responsible AI use with schoolwork
    Key Focus: Developing information literacy and ethical decision-making
  • 9th - 12th Grade:
    Advanced Research: AI for literature reviews and data analysis
    College Preparation: Understanding AI policies in higher education
    Career Readiness: Professional AI use in various fields
    Critical Analysis: Evaluating AI bias and limitations
    Key Focus: Preparing students for AI in higher education and careers
  • Integration Points:
    English: AI writing tools, source evaluation, media literacy
    Math: Data analysis, pattern recognition, algorithmic thinking
    Science: AI in research, modeling, ethical considerations
    Social Studies: AI impact on society, policy, digital citizenship
    Arts: AI in creative processes, authenticity questions
    PE/Health: AI in sports/health, data privacy
    CTE: Industry-specific AI applications
  • The rapid evolution of generative AI has shifted the educational landscape. We can no longer assume that a final product—whether it is an essay, a worksheet, or a code snippet—is a true reflection of a student's individual effort. This shift should reduce the focus on catching cheating and move toward authentic assessment that values the human journey of learning over a polished digital output. Traditional assessments often prioritize the end result. In an AI-rich world, we must pivot toward evaluating the intellectual process.

    Key Considerations

    The "Product vs. Process" Crisis: Traditional essays were already struggling with issues like writing-skill bias and time-heavy grading. AI didn't create these flaws; it just made them impossible to ignore.

    Detection is a Dead End: Relying on AI detectors is ineffective and can be unethical. The focus should shift from policing to pedagogy.

    Cheating is a Choice: If an assessment is engaging and authentic, the incentive to outsource it to AI drops significantly. Students often cheat when they feel a task lacks real-world relevance or is purely transactional.

    The Digital Divide: Banning AI in school only hurts students who don't have access to these tools at home, widening the gap between those who can leverage tech for sophisticated output and those who cannot.

    Subject-Specific Examples

    The following examples highlight several performance-based and portfolio-based alternatives that are much harder for a chatbot to replicate authentically:

    Subject

    AI-Resilient Assessment Idea

    Why it Works

    Mathematics

    Startup Budgeting: Design a budget for a local small business, allocating resources and managing expenses, then present it to a "mock panel."

    AI can do the math, but it can't navigate the specific local constraints and real-time investor questions.

    Economics

    Video News Report: Analyze a current local event through an economic lens and present it as a 3-minute news segment for the community.

    Requires localized knowledge and personal delivery that text-based AI lacks.

    Geography

    Field Study Journal: Document a local environmental issue via photos, data collection, and personal reflections on how it relates to global concepts.

    AI cannot step outside and observe your local creek or neighborhood traffic patterns.

    Literature

    Literary Magazine: Students curate a collection of original creative writing and deep analysis, showing a cohesive "voice" across multiple genres.

    Focuses on a body of work over time rather than a single, high-stakes essay.

     
  • Here is a sample that you can adapt for newsletters or class syllabi. It focuses on the "Human-in-the-Loop" philosophy, emphasizing that AI is a partner, not a replacement for thinking. Or use Gemini to help you tailor your own AI Classroom Policy that better meets the needs of your students.

    Refer to the AI Assessment Scale and Instructional Guidelines for more information.

    Other resources: Classroom Guide for Student AI Use by Eric Curts (ControllAltAchieve)

    Our AI Classroom Philosophy

    In this class, we view Artificial Intelligence as a "Co-Pilot," not the Captain. AI tools like Gemini can help us brainstorm ideas, outline projects, or explain complex topics in simpler terms. However, learning requires effort, and students are responsible for the final work they submit.

    Our Three Core Rules for AI Use:

    1. Transparency: If you use AI to help brainstorm or research, please include a brief note or citation explaining how it helped you.
    2. Verification: AI can "hallucinate" (make things up). It is your job to fact-check any information an AI provides.
    3. Originality: AI should be used to spark your creativity, not to write your assignments for you. Your unique voice is what matters most!

     
  • AI tools like Gemini or ChatGPT can feel like magic, but they aren't actually "smart" in the way humans are. They are like very fast autocomplete machines—they guess what word comes next based on patterns. To use them successfully (and stay out of trouble!), you need to know their limits.

    1. The "Hallucination" Problem

    Sometimes, AI makes things up. This is called a hallucination. Because the AI is just predicting words, it can sound very confident while being totally wrong.

    The Glitch: You might ask for a quote from a book, and the AI will "invent" a sentence that sounds like the author but isn't actually in the book.

    The Fix: Never copy-paste. Always double-check facts, dates, and quotes using a search engine or your textbook. If the AI says your sister "Robin" is a songbird, it’s a sign the AI has lost the plot!

     

    2. The "Mirror" Effect (Bias)

    AI learns from the internet, and the internet isn't always fair.

    The Glitch: If you ask an AI to show you a "doctor," it might only show you images of men. If you ask for a story about a "hero," it might use old-fashioned stereotypes.

    The Fix: Be the boss of the output. If you see the AI being unfair or leaving people out, change your prompt to make the results more inclusive and diverse.

     

    3. The Privacy Rule

    The internet is a public place, and AI is part of the internet.

    The Glitch: Anything you type into an AI tool might be stored or used to train the "brain" of the AI later.

    The Fix: Keep it private. Never type your full name, home address, phone number, or private stories about your friends into an AI. Treat the chat box like a public bulletin board.

     

    4. The "Calculator" Mindset

    Using AI to do your homework isn't "winning"—it's skipping the workout.

     
  • Think Before You Prompt!

    1. WATCH OUT FOR "HALLUCINATIONS" 

    AI is like a super-fast guesser. Sometimes it guesses WRONG.

    The Glitch: It makes up fake quotes, fake dates, and fake facts.

    The Fix: FACT-CHECK EVERYTHING. If you didn’t find it in a book or a trusted site, don't use it.

     

    2. BE THE BOSS OF BIAS 

    AI learns from the internet, and the internet isn't always fair.

    The Glitch: It might show only one type of person as a "scientist" or "hero."

    The Fix: BE INCLUSIVE. If the AI is being stereotypical, change your prompt to include everyone.

     

    3. LOCK YOUR PRIVACY 

    The AI box is NOT a private diary.

    The Glitch: Anything you type (names, addresses, secrets) could be stored forever.

    The Fix: ANONYMOUS ONLY. Never share your name, your friends' names, or where you live.

     

    4. USE THE "CALCULATOR" RULE

    Calculators help with math, but you still have to know how to do the problem.

    The Glitch: Letting AI write your essay is like letting a robot run your race. You don't get any stronger!

    The Fix: BRAINSTORM, DON'T COPY. Use AI for ideas, but make sure the final voice is YOURS.


    THE AAA CHECK

     
    Before you turn it in, ask:

    ACCURATE? Is it true? Did I double-check the facts?

    ALIGNED? Does it actually answer my teacher’s question?

    APPROPRIATE? Does it sound like a student, or a robot?

    PRO-TIP: AI is a CO-PILOT, but YOU are the Pilot. Don't let the robot crash your grade!