- Jones MS
- Artificial Intelligence
-
Work in an AI industry or have experience with AI technologies?
Click HERE to complete the JMS AI Community Connection form.
-
Artificial Intelligence (AI) Tools for Learning
Artificial intelligence refers to computer systems that are trained with data to automate tasks normally requiring human intelligence. AI is used across industries and communities. To ensure students are future-ready, students should learn to evaluate if and how they should use AI and develop responsible and ethical practices when using AI tools. Please visit the GCPS Guidance for Human Centered AI Use to learn more about the use of AI tools in GCPS. Students should follow the most recent version of GCPS Human-Centered Guidance for AI.
- Evaluating AI Tools: Students should use AI tools with the guidance of trusted adults. Students should evaluate the purpose, safety, and trustworthiness of AI tools before use.
- AI for Academic Purposes: Prior to use, refer to teacher guidance on the appropriate use of AI tools in academic settings. Guidance may change based on assignments and learning goals.
- AI Output Review: Always review and critically assess outputs from AI tools before submission or dissemination. Students should never rely solely on AI-generated content without review.
- Bias and Misinformation: Be aware that AI-generated content may possess biases or inaccuracies. Always verify AI-produced results using trusted sources before considering them in academic work.
- Safety & Respect: Users must not use AI tools to create or propagate harmful, misleading, or inappropriate content.
-
The Gwinnett County Public Schools AI Learning Framework is designed to cultivate AI-ready students by integrating key educational components. It emphasizes six core areas: Data Science, which covers modeling, visualization, and data analysis; Mathematical Reasoning, focusing on algebraic reasoning, probability, and statistics; Creative Problem Solving, which includes design thinking and collaborative leadership; Ethics, addressing principles of philosophy and bias; Applied Experiences, involving AI applications and robotics; and Programming, which develops logical reasoning and coding skills. Together, these elements prepare students for future challenges in AI and related fields.