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Teach Them It Isn't Magic

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Session description

This presentation explores teaching students about AI in elementary education. It provides insights into artificial intelligence types, ethical usage, and classroom learning strategies. The presentation offers practical lessons for understanding AI's capabilities, limitations, and potential impacts, emphasizing the importance of teaching students about responsible AI engagement.

Outline

1. Understanding AI Fundamentals
- Define Artificial Intelligence (AI) and its core types
- Distinguish between AI and traditional technology
- Understand basic AI capabilities and limitations
- Emphasize AI's evolving nature and potential

2. Importance of Early AI Education
- Prepare students for an AI-integrated future
- Develop critical understanding of AI
- Introduce ethical considerations and potential biases
- Encourage responsible AI interaction
- Demystify AI as a technological concept
- Develop good habits

3. Hands-On Learning Approaches
- Unplugged classroom activities
- Interactive prediction and pattern recognition tasks

4. Ethical and Responsible AI Engagement
- Discuss AI's strengths and limitations
- Analyze potential biases in AI systems
- Encourage transparent AI usage
- Promote responsible digital citizenship

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Outcomes

1. Understanding of AI Fundamentals
- Students will develop a clear definition of Artificial Intelligence
- Learn to distinguish between AI and non-AI technologies
- Recognize key characteristics of AI systems:
* Ability to learn from data
* Capacity to change behavior
* Potential to improve over time

2. Critical AI Literacy and Ethical Awareness
- Understand AI's strengths and limitations
- Recognize potential biases in AI systems
- Develop skills to:
* Evaluate AI-generated content critically
* Identify ethical considerations in AI use
* Comprehend the importance of diverse training data

3. Practical AI Interaction and Analysis
- Engage in hands-on AI exploration activities
- Practice feature extraction and data set creation
- Learn to:
* Compare human and AI creativity
* Analyze how different data inputs affect AI outcomes
* Develop responsible AI interaction strategies

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Supporting research

CommonSenseMedia Research Reports: https://www.commonsensemedia.org/research

Touretzky, D. S., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning AI for K-12: What should students learn? Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9797–9804.

Nazaretsky, T., Cukurova, M., & Ouyang, F. (2025). Analysis of the use of artificial intelligence (AI) by elementary and secondary school students in the context of completing school assignments. The Journal of Educational Research. Advance online publication.

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Presenters

Photo
Technology Integration Specialist
Lenox Public School - Morris Elementary
ISTE Certified Educator

Session specifications

Topic:

Digital Citizenship

Grade level:

PK-5

Audience:

Librarian, Teacher, Technology Coach/Trainer

Attendee devices:

Devices not needed

Subject area:

Computer Science, Elementary/Multiple Subjects

ISTE Standards:

For Educators: Facilitator
For Students: Digital Citizen, Knowledge Constructor

Transformational Learning Principles:

Connect Learning to Learner, Elevate Reflection