In alignment with my Timeline, I met with my technology innovator this month and we brainstormed around the language to use in my Board/Authority Authorized Course Framework Template for my Artificial Intelligence Course. My technology innovator worked with utilizing generative artificial intelligence to help align some of our ideas to help create the language we were aiming for.
Big Ideas:
Students will explore the fundamental concepts of AI, including machine learning, neural networks, and natural language processing. They will understand how AI is applied in various fields such as healthcare, finance, and entertainment.
Students will examine the ethical considerations and societal impacts of AI technologies. They will discuss issues such as privacy, bias, and the future of work in an AI-driven world.
Students will investigate how AI is integrated into everyday technologies and how it influences daily activities. They will learn about smart devices, virtual assistants, and AI in social media.
Students will explore emerging trends and future innovations in AI. They will study advancements in AI research and speculate on the potential future developments in the field.
Curricular Competencies:
Design and implement algorithms to solve problems using AI techniques.
Evaluate the effectiveness of different AI models and approaches.
Communicate technical concepts related to AI clearly and effectively.
Critically assess the ethical implications of AI technologies.
Debate the societal impacts of AI, including privacy and job automation.
Develop guidelines for ethical AI use in various contexts.
Reflect on personal and societal values in relation to AI advancements.
Investigate the integration of AI in everyday technologies.
Analyze the user experience of AI-driven applications.
Create AI-driven solutions for real-world problems.
Evaluate the impact of AI on daily activities and social interactions.
Research emerging AI technologies and their potential applications.
Predict future trends in AI and their implications for society.
Present innovative AI projects and their potential benefits and challenges.
Analyze and interpret data to identify patterns and trends in AI applications.
Content:
Fundamentals of AI: Introduction to AI concepts, machine learning, neural networks, and natural language processing.
AI Tools and Technologies: Overview of popular AI tools and platforms, such as TensorFlow, PyTorch, and AI APIs.
Ethics in AI: Exploration of ethical issues, including bias, privacy, and the impact of AI on employment.
AI in Various Industries: Case studies of AI applications in healthcare, finance, entertainment, and other sectors.
Smart Technologies: Examination of AI in smart devices, virtual assistants, and social media algorithms.
Future of AI: Discussion on emerging trends, innovations, and the future landscape of AI research and development.
Next Steps:
Come up with a Course Synopsis
Goals & Rationale
Aboriginal Worldviews and Perspectives
Research which of the technologies are permitted by the school board
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