Computer Science

Students culminate their AI literacy journey by designing an AI solution for a real-world problem. They focus on responsible design, identifying potential biases, and ensuring societal benefit.

Students analyze the ethical implications of AI on privacy and identity. They explore deepfakes, facial recognition, and the balance between security and personal freedom.

Middle school students dive into the mechanics of Large Language Models (LLMs). They learn about tokenization, probability, and how AI "predicts" the next word in a sequence.

Students explore the "ingredients" of AI: datasets. They learn how biased or incomplete data can lead to unfair or inaccurate AI systems and practice creating a balanced dataset.

Students learn to critically evaluate AI outputs by identifying "hallucinations" and factual errors. They explore why AI sometimes makes mistakes and how to verify information.

Students explore Generative AI and the importance of prompt engineering. They learn how to communicate effectively with AI to create specific images and text.

Students discover how AI works as a "smart assistant" in daily life. They identify AI in common devices and reflect on how it helps people solve problems.

Students explore the foundation of AI learning: pattern recognition. They learn that computers need many examples (data) to understand rules and make predictions.

Introduces the concept of AI by distinguishing between a robot's physical body and its digital 'brain'. Students explore how AI 'thinks' differently than humans and machines.

Master the art of data organization. Students will learn the anatomy of a spreadsheet, how to input data, use basic formulas like SUM and AVERAGE, and create visual charts to tell a story with numbers.

Explore the inner workings of a computer. Students will identify key internal components like the CPU, RAM, and storage, and understand how they work together to process data.

A deep dive into staying safe online, understanding digital footprints, and navigating the ethics of the internet. Students will learn to identify phishing attempts and create secure digital habits.

A high-energy gameshow lesson where students identify "ancient" tech artifacts and explore how they evolved into the devices we use today.

Students explore the Input-Process-Output (IPO) model by deconstructing everyday smart devices and designing their own tech solutions to classroom challenges. This lesson bridges the gap between physical hardware and programmatic logic through hands-on analysis and creative problem-solving.

An introduction to how Ancient Greek thinkers combined philosophy, geometry, and observation to understand the universe. Students will explore the transition from mythological explanations to mathematical models of the cosmos.

A fast-paced, 20-minute lesson introducing students to the essential physical buttons and ports found on modern computers, focusing on identification and function.

A foundational look at robot anatomy, exploring how sensors, actuators, and controllers work together to create a functional machine.

Exploring the rise of 'Smart' homes, automation, and the Internet of Things (IoT), culminating in a design project for a future household helper.

Tracing the history of home entertainment and communication, comparing analog technologies of the past with today's digital streaming landscape.

An investigation into how kitchen technology has evolved to solve the problems of cooking, preservation, and preparation, from fire and ice to microwaves and smart appliances.

A series of hands-on, unplugged activities designed to teach Python data types and variables through tactile sorting, logic puzzles, and matching games. Focused on accessibility and clarity for students with diverse learning needs.

A hands-on STEAM lesson where emerging bilingual students use Ozobots to act out short scenarios, focusing on beginner-level English speaking, listening, reading, and writing skills.

Students dive deeper into coding by exploring variables and loops through tournament statistics, team scores, and game-time data analysis.

Students learn the basics of computational thinking, focusing on algorithms and sequencing by designing basketball plays and tournament brackets.

A comprehensive introduction to Python loops designed for students with processing and memory challenges, featuring visual decision trees, color-coded syntax guides, and hands-on cause-and-effect experiments.

Una lección introductoria a la programación de videojuegos usando MakeCode Arcade, cubriendo lógica de bucles, coordenadas y eventos para estudiantes de 6to grado.

The final challenge where students identify and fix errors in complex instruction sets, optimizing 'broken' paths and learning that failures are just opportunities to refine logic.

Students master the art of algorithmic thinking by designing precise instructions to navigate a classroom 'obstacle trail' and learning how sequence affects outcome.

Students dive into the world of deductive reasoning and Boolean logic by solving increasingly complex grid puzzles and navigating a physical 'logic gate' maze in the classroom.

An introductory lesson to JavaScript fundamentals, covering variables, data types, and basic console output. Students will learn how JavaScript makes the web interactive.

A collection of highly visual, simplified resources designed for students with reading and word comprehension challenges to master the basics of Python programming.

Una lección detallada sobre el uso del bloque for en Microsoft MakeCode Arcade para crear patrones y repeticiones eficientes en videojuegos.

Students apply Zeno's logic to everyday scenarios and learn to use humor and extreme logic to expose flaws in arguments.

Students tackle the Dichotomy Paradox, learning how to break large goals into infinite tiny steps and the logical hurdles that arise.

Students examine the Arrow Paradox to challenge the concept of motion and the nature of the 'now'.

Students explore the famous Achilles and the Tortoise paradox to understand the infinite divisibility of space and time.

The capstone project where students combine their coding knowledge and engineering skills. Students design a functional 'helper bot' using recycled materials and write the pseudo-code for its operations.

A hands-on engineering challenge where students apply the Engineering Design Process to build stable structures. This lesson focuses on physics, materials science, and iterative testing.

An introduction to computational thinking focusing on algorithms, sequencing, and loops. Students engage with online coding platforms and offline logic puzzles to master the basics of programming.

Students culminate their AI literacy journey by designing an AI solution for a real-world problem. They focus on responsible design, identifying potential biases, and ensuring societal benefit.

Students analyze the ethical implications of AI on privacy and identity. They explore deepfakes, facial recognition, and the balance between security and personal freedom.

Middle school students dive into the mechanics of Large Language Models (LLMs). They learn about tokenization, probability, and how AI "predicts" the next word in a sequence.

Students explore the "ingredients" of AI: datasets. They learn how biased or incomplete data can lead to unfair or inaccurate AI systems and practice creating a balanced dataset.

Students learn to critically evaluate AI outputs by identifying "hallucinations" and factual errors. They explore why AI sometimes makes mistakes and how to verify information.

Students explore Generative AI and the importance of prompt engineering. They learn how to communicate effectively with AI to create specific images and text.

Students discover how AI works as a "smart assistant" in daily life. They identify AI in common devices and reflect on how it helps people solve problems.

Students explore the foundation of AI learning: pattern recognition. They learn that computers need many examples (data) to understand rules and make predictions.

Introduces the concept of AI by distinguishing between a robot's physical body and its digital 'brain'. Students explore how AI 'thinks' differently than humans and machines.

A high-stakes engineering challenge where students use the 4Cs and Computational Thinking to design, build, and document the ultimate cup tower structure.

A hands-on introduction to neural networks for 6th graders, using a paper-based simulation to understand how computers 'think' using layers and connections.

A hands-on STEAM lesson where emerging bilingual students use Ozobots to act out short scenarios, focusing on beginner-level English speaking, listening, reading, and writing skills.

A dedicated hub for educators featuring a K-12 curriculum scope, professional development guides, and quick-reference AI cheat sheets.

High school students analyze the impact of generative AI on careers and society, mastering advanced prompt engineering and debating complex ethical dilemmas.

Middle schoolers dive into the mechanics of neural networks and the ethical implications of AI in daily life, focusing on digital citizenship and algorithmic fairness.

Middle elementary students investigate how training data shapes AI behavior, identifying bias in simple systems and experimenting with basic prompt engineering.

Students in grades 1-2 explore how machines learn to recognize patterns and assist humans, introducing basic classification and the idea of helpful technology.

Introduces Kindergarteners to the concept of AI as a 'thinking' tool that follows instructions and learns from examples, focusing on the difference between robots and AI.

Students dive deeper into coding by exploring variables and loops through tournament statistics, team scores, and game-time data analysis.

Students learn the basics of computational thinking, focusing on algorithms and sequencing by designing basketball plays and tournament brackets.

Master the art of data organization. Students will learn the anatomy of a spreadsheet, how to input data, use basic formulas like SUM and AVERAGE, and create visual charts to tell a story with numbers.

Explore the inner workings of a computer. Students will identify key internal components like the CPU, RAM, and storage, and understand how they work together to process data.

A deep dive into staying safe online, understanding digital footprints, and navigating the ethics of the internet. Students will learn to identify phishing attempts and create secure digital habits.

An introductory lesson on the history, mechanics, and application of the Pigpen Cipher, perfect for middle school students exploring cryptography.

An introductory lesson on cybersecurity threats, focusing on identifying and defending against malware, phishing, and social engineering through interactive scenarios and group analysis.

A comprehensive midterm review for CS10 covering NC standards for data representation, cybersecurity, and basic programming logic. Includes a detailed study guide and a 75-question practice exam.

An introductory exploration of cybersecurity fundamentals for middle and high school students, covering the CIA triad, common threats, and defensive strategies through hands-on projects and conceptual mapping.

Students act as network 'bouncers' to learn how firewalls use logic rules to filter incoming and outgoing network traffic.

Students learn how HTTPS and digital certificates provide authentication and encryption for websites, ensuring secure browsing.

Using a physical analogy of locks and keys, students explore the concept of asymmetric (public key) encryption and how it secures data exchange.

An introduction to basic cryptographic terms like plaintext, ciphertext, and keys through the hands-on practice of Caesar Ciphers.

Students simulate a 'packet sniffer' activity to understand how unencrypted data on open networks can be intercepted and the risks of public Wi-Fi.

In this creative synthesis lesson, students propose a new 'smart' device or wireless application for the future. They outline how it connects, what data it transmits, and the benefits it provides to society.

Students explore the concept of bandwidth using water pipes or highway lanes as analogies. They learn why having many devices on one wireless router slows down the connection for everyone.

Learners define IoT and identify 'smart' devices beyond computers and phones. They brainstorm the benefits and potential privacy concerns of having everyday objects connected to the network.

This lesson compares different wireless standards like Wi-Fi, Bluetooth, and cellular. Students create a comparison chart analyzing range, speed, and power usage to determine which technology is best for different scenarios.

Students are introduced to radio waves as the medium for wireless data. They conduct simple experiments with walkie-talkies or remote controls to understand line-of-sight and signal interference.

Focuses on verifying identity through password strength analysis and the logic of multi-factor authentication.

Teaches firewalls as network gatekeepers through a classroom simulation where students define rules for incoming data packets.

Explains the role of HTTPS and SSL/TLS certificates through browser inspection and a 'man-in-the-middle' simulation.

Students culminate their AI literacy journey by designing an AI solution for a real-world problem. They focus on responsible design, identifying potential biases, and ensuring societal benefit.

Students analyze the ethical implications of AI on privacy and identity. They explore deepfakes, facial recognition, and the balance between security and personal freedom.

Middle school students dive into the mechanics of Large Language Models (LLMs). They learn about tokenization, probability, and how AI "predicts" the next word in a sequence.

Students explore the "ingredients" of AI: datasets. They learn how biased or incomplete data can lead to unfair or inaccurate AI systems and practice creating a balanced dataset.

Students learn to critically evaluate AI outputs by identifying "hallucinations" and factual errors. They explore why AI sometimes makes mistakes and how to verify information.

Students explore Generative AI and the importance of prompt engineering. They learn how to communicate effectively with AI to create specific images and text.

Students discover how AI works as a "smart assistant" in daily life. They identify AI in common devices and reflect on how it helps people solve problems.

Students explore the foundation of AI learning: pattern recognition. They learn that computers need many examples (data) to understand rules and make predictions.

Introduces the concept of AI by distinguishing between a robot's physical body and its digital 'brain'. Students explore how AI 'thinks' differently than humans and machines.

Master the art of data organization. Students will learn the anatomy of a spreadsheet, how to input data, use basic formulas like SUM and AVERAGE, and create visual charts to tell a story with numbers.

Explore the inner workings of a computer. Students will identify key internal components like the CPU, RAM, and storage, and understand how they work together to process data.

A deep dive into staying safe online, understanding digital footprints, and navigating the ethics of the internet. Students will learn to identify phishing attempts and create secure digital habits.

A mini-project lesson where students act as data detectives to collect, analyze, and ethically report on classroom data.

Students will learn to identify positive, negative, and zero correlations in scientific data and practice writing formal scientific conclusions using a standardized 'As X increases, Y...' format.

A middle school science lesson focused on identifying independent and dependent variables and creating accurate line graphs to analyze data.

Students explore how social media algorithms work through a high-energy simulation game, learning how their clicks and likes shape their digital feeds.

Students identify AI technologies in their daily lives and create a map of AI integration in their environment.

Students experiment with biased datasets to understand algorithmic bias and the ethical importance of diverse data.

Students explore how algorithms find patterns in large datasets by playing pattern-recognition games and discussing neural networks.

Students collect visual samples to train a computer to recognize gestures or objects, observing how data quantity and quality affect the results.

Exploring the rise of 'Smart' homes, automation, and the Internet of Things (IoT), culminating in a design project for a future household helper.

Tracing the history of home entertainment and communication, comparing analog technologies of the past with today's digital streaming landscape.

An investigation into how kitchen technology has evolved to solve the problems of cooking, preservation, and preparation, from fire and ice to microwaves and smart appliances.

Students define technology as any tool created to solve a problem and conduct a home scavenger hunt to identify different categories of tech in their own living spaces.

A STEM-focused exploration of how communication technology evolved from physical transport to the speed of light, featuring a speed-calculation activity and a physical timeline.

A 6th-grade science lesson exploring how information travels through copper wires and fiber optics, featuring a laser demonstration of total internal reflection.

Students will investigate how artificial satellites power our modern world, identifying different types of satellites and visualizing the chaos that would ensue if they suddenly vanished.

Students explore the diverse applications of GPS technology, moving beyond simple navigation to investigate its role in science, agriculture, and wildlife conservation before designing their own location-based solution.

Students investigate the historical and technological links between science fiction literature and modern scientific innovations, exploring how imaginative 'what if' questions drive real-world engineering.

Students prepare for launch by learning about web hosting and presenting their final projects to their peers.

A peer-review and debugging session where students hunt for broken links and layout errors to refine the user experience.

Dedicated time for students to code their sub-pages while maintaining visual consistency through shared CSS styles.

Focuses on the technical skill of creating a navigation bar using relative file paths to link Home, About, and Contact pages.

Students brainstorm website topics, create sitemaps to organize their pages, and draw wireframes to plan their layouts before writing code.

Students learn how the internet works regarding servers and clients. They discuss options for hosting and review privacy safety before a final gallery walk of their sites.

Students apply a consistent CSS style sheet to all pages of their site. They refine margins, ensure readability, and conduct a 'code review' to clean up messy indentation.

Students implement their site map by creating multiple HTML files and linking them using a navigation bar. They ensure that the navigation menu is consistent across all pages.

Before adding media, students learn about intellectual property, copyright, and Creative Commons. They practice searching for royalty-free images and writing proper attributions.

Students define the purpose of their personal website and create a site map showing the relationship between pages. They gather the content they wish to feature and organize their local file folders.

Students observe the full protocol stack in action using traceroute tools and simulations to trace a packet's complete lifecycle.

Students culminate their AI literacy journey by designing an AI solution for a real-world problem. They focus on responsible design, identifying potential biases, and ensuring societal benefit.

Students analyze the ethical implications of AI on privacy and identity. They explore deepfakes, facial recognition, and the balance between security and personal freedom.

Middle school students dive into the mechanics of Large Language Models (LLMs). They learn about tokenization, probability, and how AI "predicts" the next word in a sequence.

Students explore the "ingredients" of AI: datasets. They learn how biased or incomplete data can lead to unfair or inaccurate AI systems and practice creating a balanced dataset.

Students learn to critically evaluate AI outputs by identifying "hallucinations" and factual errors. They explore why AI sometimes makes mistakes and how to verify information.

Students explore Generative AI and the importance of prompt engineering. They learn how to communicate effectively with AI to create specific images and text.

Students discover how AI works as a "smart assistant" in daily life. They identify AI in common devices and reflect on how it helps people solve problems.

Students explore the foundation of AI learning: pattern recognition. They learn that computers need many examples (data) to understand rules and make predictions.

Introduces the concept of AI by distinguishing between a robot's physical body and its digital 'brain'. Students explore how AI 'thinks' differently than humans and machines.

A hands-on introduction to neural networks for 6th graders, using a paper-based simulation to understand how computers 'think' using layers and connections.

A dedicated hub for educators featuring a K-12 curriculum scope, professional development guides, and quick-reference AI cheat sheets.

High school students analyze the impact of generative AI on careers and society, mastering advanced prompt engineering and debating complex ethical dilemmas.

Middle schoolers dive into the mechanics of neural networks and the ethical implications of AI in daily life, focusing on digital citizenship and algorithmic fairness.

Middle elementary students investigate how training data shapes AI behavior, identifying bias in simple systems and experimenting with basic prompt engineering.

Students in grades 1-2 explore how machines learn to recognize patterns and assist humans, introducing basic classification and the idea of helpful technology.

Introduces Kindergarteners to the concept of AI as a 'thinking' tool that follows instructions and learns from examples, focusing on the difference between robots and AI.

Exploring the rise of 'Smart' homes, automation, and the Internet of Things (IoT), culminating in a design project for a future household helper.

Tracing the history of home entertainment and communication, comparing analog technologies of the past with today's digital streaming landscape.

An investigation into how kitchen technology has evolved to solve the problems of cooking, preservation, and preparation, from fire and ice to microwaves and smart appliances.