I. Introduction (5–10 minutes)
Goal: Set the stage, define key concepts, and connect with educators’ experiences.
Welcome and Session Overview
Introduce myself and background (diverse grade levels, experiences, and perspectives).
Share session goals and learning outcomes.
Engage the Audience
Quick poll or discussion: “What do you think coding teaches beyond code?”
Define the Big Idea
Explain computational thinking (decomposition, pattern recognition, abstraction, algorithms).
Connect to real-world skills used in science, engineering, and everyday problem-solving.
II. Research and Rationale (10 minutes)
Goal: Ground coding and computational thinking in research-based practices.
Key Research Connections
Wing (2006) — foundational work defining computational thinking as essential for all learners.
Grover & Pea (2013) — coding builds logical reasoning, persistence, and collaboration.
Bers (2018); NRC (2010) — integration of coding strengthens cross-curricular learning in STEM and literacy.
Benefits in Practice
Enhances creativity, resilience, and problem-solving.
Fosters inclusivity and equity through hands-on, exploratory learning.
III. Coding as a Gateway to Computational Thinking (10 minutes)
Goal: Demonstrate the natural connections between coding and thinking skills.
Show how coding encourages:
Decomposition: breaking big problems into smaller steps.
Pattern Recognition: identifying similarities to streamline solutions.
Abstraction: focusing on what’s important while filtering out details.
Algorithm Design: creating step-by-step instructions to solve problems.
Classroom Example:
Coding a simple robot (e.g., Dash, Ozobot, or Scratch program) to complete a challenge.
Discuss how students demonstrate computational thinking during the process.
IV. Classroom Applications & Tools (15 minutes)
Goal: Provide practical, low-prep strategies and digital tools educators can use immediately.
Low-Prep Ideas for All Grade Levels:
Unplugged activities (no devices): sequencing cards, logic puzzles, or algorithm races.
Block-based coding (Scratch, Code.org, Tynker).
Robotics (Sphero, Ozobot, BeeBot, Edison).
Integration Across Subjects:
Math: Programming patterns, geometry with movement.
Science: Simulating life cycles or weather systems.
ELA: Storytelling with Scratch animations.
Art: Digital design, pixel art, creative problem-solving.
Collaboration & Innovation:
Pair programming and group problem-solving structures.
Emphasize creativity and exploration over right/wrong answers.
V. Hands-On or Interactive Component (10–15 minutes)
Goal: Model curiosity, exploration, and creativity through participation.
Activity Example:
Participants solve a “coding challenge” (physical or digital).
Reflect: What computational thinking skills did we use?
Discussion:
How can this activity adapt to different grade levels or subjects?
What barriers might teachers face, and how can we overcome them?
VI. Reflection and Takeaways (5–10 minutes)
Goal: Reinforce key ideas and connect them to professional growth.
Recap: Coding as a catalyst for computational thinking.
Reflection Prompt:
“How might you bring this mindset into your classroom?”
Resources & Next Steps:
Share a resource list or QR code for coding platforms, lessons, and templates.
Closing Thought:
“When we teach students to code, we’re not just teaching them to use technology—we’re teaching them to think.”
