Digital Literacy and Artificial Intelligence
- Level High School
- Contact Hours 115
- Timeframe Year
In this course, students will learn the importance of safeguarding our increasingly digital world from unauthorized access. They will be introduced to the fundamentals of computer programming and how to design, code, and test programs. Students also examine key ideas in artificial intelligence, such as machine learning, large language models, bias in AI systems, and the impact of AI on society, while working with tools like ChatGPT, Gemini, and Teachable Machine to understand how AI systems are built and used.
To view the entire syllabus, click here or click to explore the full course.
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Cybersecurity and You
Students explore key areas such as personal data collection, the reliability of online information, cyber ethics and laws, personal data security, cybersecurity essentials, and strategies to combat common cyber threats and their prevention, equipping individuals with the knowledge to navigate the digital landscape responsibly and securely. |
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Technology and Society
Students examine how the internet and digital technologies impact various aspects of modern life, from personal behavior to global communication. Through readings, reflections, and interactive routines, learners explore both the benefits and challenges of a digitally connected world. |
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Basic Python and Console Interaction
Students learn the basics of programming by writing programs that interact with users through the keyboard. |
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Conditionals
Students teach their programs to make decisions based on the information it receives. |
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Project: Quiz Game
Students write a program that quizzes users on a series of multiple-choice questions and checks their answers. |
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Looping
Students learn how to write more efficient code by using loops as shortcuts. |
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Project: Password Authenticator
Students write a program to provide feedback on whether the entered password is correct or incorrect. |
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Project: Remix a Program
Students will be introduced to the concept of code reuse and modification by remixing a program created by another student. They will learn about attribution and the importance of giving credit to the original creators of code. |
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Intro to AI
In this module, students will gain an understanding of the main concepts and vocabulary around AI. |
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Machine Learning
Students will learn the fundamentals of machine learning, covering its lifecycle, supervised, unsupervised, and reinforcement learning, and explore bias within learning models. |
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Training AI Models
In this hands-on module, students will learn how to train AI models and will explore the use cases for AI in various industries. |
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Risks of AI
Students will explore the ethical implications and risks of AI technology, including bias, hallucinations, security, misinformation, and legal challenges. Students will engage in a debate about AI and create their own AI policies. |
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Coding with AI Tools
Students will create a game, then solve a real-world problem with the help of AI. |
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Careers and AI
Students will explore the changing landscape of work in the age of AI. |
Explore programs that your students will build throughout this course!
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