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CodeHop by CodeHS

Florida Unplugged Computer Science: 3rd-5th Grade

This course is aligned to Florida Unplugged Computer Science standards and is designed to provide 3rd-5th grade students with a comprehensive introduction to key concepts in computer science with limited technology use. It is meant to be taught approximately weekly.

3rd, 4th, 5th Grade
10 Units
35 Lessons

What Students Will Learn

See the full syllabus for all topics and activities, or explore the course to try it out.

UNITS - 10 (35 lessons)

  • Getting Started

    Introduces the CodeHop platform, responsible technology use and screen time habits, computational thinking through school design, and basic keyboarding skills.

  • Sequences and Events

    Builds sequencing and algorithm design skills, including parallel sequences and remixing with attribution, while exploring how coding applies to health/fitness and sports careers.

  • Loops

    Teaches loops for repeating instructions, applying them through pair programming, sprite animation using multiplication, and modeling volcanic land-forming processes.

  • Conditionals

    Introduces if/then conditional logic, applying it to a division practice game and a model of day and night caused by Earth's rotation.

  • Culmination Project

    Culminates the unit with an accessibility-focused redesign project that applies the design thinking process to solve real-world problems.

  • Digital Citizenship

    Covers digital citizenship topics including addressing cyberbullying, spreading positivity online, and collaborating respectfully and effectively online.

  • Cybersecurity

    Builds cybersecurity awareness through Scout's Cybersecurity Adventure series and a study of cybersecurity policies and laws.

  • Systems and Networks

    Explores computing system components and troubleshooting, appropriate productivity software choices, and how network protocols like WiFi, wired, and cellular connections enable data transfer.

  • Research and Data

    Develops research skills including effective search keywords, source evaluation and attribution, a technology history timeline, and a data-driven inquiry project with bar graphs.

  • Artificial Intelligence

    Introduces artificial intelligence concepts including how machines learn and compare to humans, training a chatbot, and evaluating the ethics and responsible use of generative AI and AI products.

Lesson Previews

Explore a sample lesson from this course!