Educational How AI Works

Educational How AI Works

Module Information

Institution:

Instructor:    Session Date:

Target Grade/Program:    Duration:

Student Information

Parent / Guardian (If applicable)

Learning Objectives & Core Concepts

This module provides an age-appropriate explanation of artificial intelligence, including the following objectives:

Understand and explain what artificial intelligence is and distinguish between narrow and general AI.
Explain, at a conceptual level, how models learn from data and the role of training and evaluation.
Recognize limitations of AI systems, including bias, error, and contextual limitations.
Identify appropriate and inappropriate educational uses of AI and the importance of attribution and academic integrity.

Instructional Summary

Overview: AI systems process examples of data to produce patterns and predictions. Outputs are not guarantees of correctness; they reflect the training data and model design. Students are instructed to critically evaluate all AI-generated content and to verify facts, reasoning, and sources.

Activity Plan: Guided demonstration, small-group exploration of a simple AI example, and an individual reflection assignment. Materials provided may include sample datasets and anonymized model outputs for classroom analysis.

Academic Integrity, Privacy, and Use Policies

Policy Statement: Use of AI in this educational context is permitted only as expressly directed by the instructor. Students must disclose when AI tools were used to generate content submitted for evaluation. Submission of AI-generated content without disclosure constitutes an academic integrity violation and may result in disciplinary action consistent with institutional policy.

Data and Privacy: Educational materials and student inputs used during demonstrations may be recorded or retained for instructional or assessment purposes. Where student data is retained, personally identifying information will be handled in accordance with institutional privacy standards. Students should not submit personal health or other highly sensitive information to AI demonstration tools.

Intellectual Property: Student-created works remain the property of the student unless otherwise agreed in writing. Where an AI tool materially contributes to a work, the student must provide clear attribution and explain the nature of the AI contribution. Instructor-directed collaborative class works may be used for educational display with appropriate attribution.

Limitations and Liability: The institution does not warrant accuracy of any third-party AI tool outputs and is not liable for harms arising from student or guardian reliance on AI outputs beyond classroom demonstration. Students are responsible for verifying and correcting AI-generated content used in assessed work.

Consent, Acknowledgment, and Permissions

By checking the items below and signing this form, the signer acknowledges understanding of the instructional content, policies, and potential limitations associated with AI. The signer also grants the limited permissions indicated.

I acknowledge that I have read and understand the academic integrity, privacy, and intellectual property policies described above.
I consent to anonymized retention of class demonstration inputs/outputs for instructional improvement and assessment recordkeeping.
I consent to non-commercial display of my anonymized student work for educational purposes (presentations, curricula) unless I explicitly opt out in writing.

Accessibility and Accommodations

Yes    No

Reflection Assignment (Student)

Prompt: In 200–300 words, describe in your own words how AI systems learn from data and one potential benefit and one potential risk of using AI in education.

Acknowledgment Certification

Certification: I certify that the information provided on this form is true and correct to the best of my knowledge. I acknowledge the instructional content and policies concerning use of artificial intelligence in the classroom, including disclosure and attribution responsibilities. I understand that failure to disclose AI assistance on graded work may result in academic disciplinary measures.

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