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CS is the Superpower

A professional development series for PreK-12 educators that reframes Computer Science as a "Superpower" through Computational Thinking. Teachers explore how CS concepts like decomposition, abstraction, and automation are already present in their daily instructional practices and Iowa Core content.

EWElizabeth Whitver
Superpower Spark

An introductory session reframing Computer Science from "coding on screens" to a tool for problem-solving and organizing thought.

Routine Breakdown

Teachers learn to break complex tasks into smaller, manageable steps using classroom routines and Iowa Core standards as examples.

Pattern Finders

Explores how identifying patterns in classroom environments and curriculum helps anticipate outcomes and reduce cognitive load.

Data Detectives

An optional lesson on how raw information is categorized to create meaning and drive instructional decisions.

Signal Scrapers

Teachers practice removing unnecessary details from lesson plans and instructions to focus on core learning objectives.

Precision Paths

Developing logical, step-by-step plans (social code) that ensure precise and predictable classroom routines.

Choice Branching

An optional lesson exploring If/Then logic gates used in classroom management and instructional differentiation.

Error Hunters

Rebranding grading and feedback as a "debugging" process to identify where student logic breaks down.

Efficiency Loops

Identifying repetitive tasks that can be turned into "Loops" to increase classroom efficiency and teacher focus.

CS is the Superpower

A professional development series for PreK-12 educators that reframes Computer Science as a "Superpower" through Computational Thinking. Teachers explore how CS concepts like decomposition, abstraction, and automation are already present in their daily instructional practices and Iowa Core content.

EWElizabeth Whitver

ELA / Literacy

Abstraction: Summarizing a complex text by finding the "signal" and stripping details.

Conditionals: If/Then character analysis (cause and consequence in plot).

Debugging: The revision process—identifying logic breaks or syntax errors in writing.

Patterns: Rhyming structures, plot arcs, and recurring motifs in folklore.

Science

Decomposition: Analyzing the parts of a plant or the components of an ecosystem.

Algorithms: Creating precise, repeatable procedural steps for fair test experiments.

Data Rep: Creating visualizations (graphs) to represent weather trends or population counts.

Automation: Identifying biological feedback loops (e.g., photosynthesis or carbon cycle).

Master Handout 01

Name: ________________________

Superpower Spark

Participant Log 01

"I can define CS as a tool for problem-solving, not just a machine."

Human Algorithm Discovery

1

2

3

Exit Ticket

Master Handout 02

Name: ________________________

Routine Breakdown

Participant Log 02

Routine Target: ________________________________

Step 01

Step 02

Step 03

Step 04

Step 05

Step 06

Coach's Corner

What was one "hidden" step your partner initially missed?

Master Handout 03

Name: ________________________

Pattern Finders

Participant Log 03

Grade Level Pattern Bank

Exit Ticket

Identify one pattern that reduces student cognitive load.

Master Handout 04

Name: ________________________

Signal Scrapers

Participant Log 04

Part 1: The Detail (3-Sentence Summary)

Part 2: The Signal (3-Word Abstraction)

___

___

___

Exit Ticket

Master Handout 05

Name: ________________________

Precision Paths

Participant Log 05

Step 01

Step 02

Step 03

Step 04

Step 05

Debug Log

Where did it glitch? What fix is needed?

Master Handout 06

Name: ________________________

Error Hunters

Participant Log 06

THE BUG (The failure)

THE PATCH (The fix)

The Pivot Reflection

Master Handout 07

Name: ________________________

Efficiency Loops

Participant Log 07

Manual Task

Automated Loop

Manual Task

Automated Loop

The Efficiency Shift

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