Illinois Coding Studies — Grade 4

Comprehensive Course Syllabus

Course Overview

Our Illinois Grade 4 Coding Studies course introduces genuine programming concepts. It opens with computer science foundations, computational thinking, algorithms, and unplugged coding, then moves into a full block-based programming environment with sprites, a stage, and saved projects.

The core programming strand covers sequencing and program flow, events and user interaction, loops including nested repetition, conditionals with if-else, variables and data, operators and comparisons, and coordinates and movement, followed by dedicated modules on debugging, programming patterns, and functions with custom blocks and parameters.

The creative strand covers digital storytelling, animation, game development fundamentals, game mechanics with collision detection and timers, and open creative projects.

The digital strand covers data and information, the internet and networks, digital citizenship and online safety including cyberbullying awareness, and technology ethics with a first look at AI awareness and responsible innovation.

The applied strand connects coding to mathematics and science through coordinates, geometry, angles, simulations, sensors, and real data.

The course closes with project planning with flowcharts, testing and improvement with test cases and user feedback, collaboration and pair programming, and a documented coding portfolio with a final challenge.

Recommended Age 9–10 Years
Prerequisite Grade 3 Coding/Computer Science or Equivalent Exposure
Course Duration Full Academic Year
Live Classes 2 Classes per Week · 60 Min Each
Program Type Coding, Computational Thinking & STEM Enrichment
Module 1

Introduction to Computer Science

Topic 1.1

What Is Computer Science?

Students learn what computer science is. It studies how computers solve problems.

Topic 1.2

What Is Coding?

Students learn what coding is. Coding writes instructions for a computer.

Topic 1.3

Programs

Students learn what a program is. A program is an ordered set of instructions.

Topic 1.4

Computers and Devices

Students study computers and devices. Many devices contain computers.

Topic 1.5

Instructions

Students study instructions. Instructions must be clear and ordered.

Module 2

Computational Thinking

Topic 2.1

Breaking Problems Into Steps

Students break problems into steps. Small steps are manageable.

Topic 2.2

Decomposition

Students decompose problems. Decomposition splits a problem into parts.

Topic 2.3

Pattern Recognition

Students recognise patterns. Patterns reveal reusable solutions.

Topic 2.4

Pattern Matching

Students match patterns. Similar problems share similar solutions.

Topic 2.5

Abstraction Introduction

Students meet abstraction. Abstraction hides irrelevant detail.

Module 3

Algorithms & Instructions

Topic 3.1

What Is an Algorithm?

Students learn what an algorithm is. An algorithm is a precise set of steps.

Topic 3.2

Step-by-Step Instructions

Students write step-by-step instructions. Every step must be clear.

Topic 3.3

Everyday Algorithms

Students find everyday algorithms. Recipes and routines are algorithms.

Topic 3.4

Sequence

Students study sequence. Sequence is the order of steps.

Topic 3.5

Ordering Instructions

Students order instructions. Wrong order gives wrong results.

Module 4

Unplugged Coding

Topic 4.1

Coding Without Computers

Students code without computers. Concepts come before screens.

Topic 4.2

Instruction Games

Students play instruction games. Games teach precision.

Topic 4.3

Robot Navigation

Students navigate a human robot. Exact commands produce exact results.

Topic 4.4

Direction Commands

Students use direction commands. Directions must be unambiguous.

Topic 4.5

Logic Puzzles

Students solve logic puzzles. Logic puzzles train reasoning.

Module 5

Introduction to Block-Based Programming

Topic 5.1

Block-Based Coding

Students code with blocks. Blocks avoid typing mistakes.

Topic 5.2

Programming Workspace

Students learn the workspace. The workspace is where code is built.

Topic 5.3

Sprites or Characters

Students use sprites. A sprite is a controllable on-screen object.

Topic 5.4

Stage or Screen

Students use the stage. The stage is where the program runs.

Topic 5.5

Commands

Students use commands. Each command does one thing.

Module 6

Sequencing & Program Flow

Topic 6.1

Sequence

Students study sequence. Sequence is the order of commands.

Topic 6.2

Commands

Students use commands in order. Commands run one after another.

Topic 6.3

Program Flow

Students study program flow. Flow is the path through the code.

Topic 6.4

Order of Instructions

Students order instructions. Order determines the result.

Topic 6.5

Movement Commands

Students use movement commands. Movement is the first thing to code.

Module 7

Events & User Interaction

Topic 7.1

Events

Students study events. An event is something that triggers code.

Topic 7.2

Start Events

Students use start events. A start event launches the program.

Topic 7.3

Key Presses

Students use key press events. Keys can control a sprite.

Topic 7.4

Mouse or Touch Events

Students use mouse and touch events. Both work as user input.

Topic 7.5

Click Events

Students use click events. Clicking triggers an action.

Module 8

Loops & Repetition

Topic 8.1

Repetition

Students study repetition. Repeating happens constantly in code.

Topic 8.2

Loops

Students write loops. A loop repeats a set of commands.

Topic 8.3

Repeat Blocks

Students use repeat blocks. Repeat runs code a set number of times.

Topic 8.4

Forever Loops

Students use forever loops. A forever loop never stops on its own.

Topic 8.5

Counting Loops

Students write counting loops. Counting loops repeat a known number of times.

Module 9

Conditionals & Decision Making

Topic 9.1

Conditions

Students write conditions. Conditions are either true or false.

Topic 9.2

If Statements

Students write if statements. If checks whether something is true.

Topic 9.3

If-Else Logic

Students use if-else logic. If-else gives two possible paths.

Topic 9.4

True and False

Students study true and false. Every condition evaluates to one of these.

Topic 9.5

Decision Making

Students code decisions. Decisions make programs flexible.

Module 10

Variables & Data

Topic 10.1

What Is a Variable?

Students learn what a variable is. A variable holds a value that can change.

Topic 10.2

Storing Information

Students store information. Storing lets programs remember.

Topic 10.3

Numbers

Students store numbers. Numbers are the easiest values to store.

Topic 10.4

Scores

Students make a score. Scores change as a game runs.

Topic 10.5

Counters

Students make counters. Counters count how many times something happens.

Module 11

Operators & Logical Thinking

Topic 11.1

Numbers in Programs

Students use numbers in programs. Programs calculate constantly.

Topic 11.2

Addition

Students add in code. Addition combines values.

Topic 11.3

Subtraction

Students subtract in code. Subtraction reduces values.

Topic 11.4

Multiplication

Students multiply in code. Multiplication scales values.

Topic 11.5

Division

Students divide in code. Division splits values.

Module 12

Coordinates & Movement

Topic 12.1

X and Y Coordinates

Students use x and y coordinates. Coordinates give exact position.

Topic 12.2

Position

Students set position. Position places a sprite precisely.

Topic 12.3

Direction

Students set direction. Direction says which way a sprite faces.

Topic 12.4

Movement

Students code movement. Movement changes coordinates.

Topic 12.5

Grid Systems

Students use grid systems. Grids link coding to mathematics.

Modules 13–30

Also Covered in This Course

Debugging & Error Detection
Programming Patterns
Functions & Reusable Code Introduction
Digital Storytelling With Code
Animation
Game Development Fundamentals
Game Mechanics & Interaction
Creative Coding Projects
Data & Information
Internet & Digital Technology
Digital Citizenship & Online Safety
Technology Ethics & Responsible Innovation
Coding & Mathematics
Coding & Science
Project Planning
Testing & Improvement
Collaboration & Communication
Coding Portfolio & Comprehensive Review

Teaching Methodology

Our Grade 4 Coding classes are project-centred and concept-driven. Every idea is introduced with a purpose, practised in a focused challenge, and then used in a project students plan, build, test, and present. Students learn through:

Live interactive classes
Computational thinking activities
Algorithm design and testing
Unplugged coding activities
Block-based programming projects
Event-driven program building
Loop and nested loop challenges
If-else conditional coding
Variable, score, and timer tracking
Operator and comparison practice
Coordinate and movement challenges
Systematic debugging practice
Custom block and function building
Digital storytelling projects
Animation with costumes and timing
Full game development and mechanics
Data collection and visualisation
Internet and network concepts
Digital citizenship and safety discussions
Technology ethics and AI awareness
Science simulations and sensor concepts
Flowchart and storyboard planning
Test cases and user testing
Pair programming and team roles
Portfolio building
Progress reports

Learning Outcomes

By the end of Grade 4, students will be able to:

Explain what computer science, coding, programs, and algorithms are.
Decompose problems, recognize patterns, and apply abstraction.
Design, test, and improve algorithms in written and unplugged form.
Build and run block-based programs with sprites and a stage.
Control program flow with sequenced movement, sound, and timing commands.
Use start, key, mouse, and click events to handle user input.
Use repeat, forever, counting, and nested loops.
Use if and if-else conditionals with comparisons.
Create variables to track scores, counters, and timers.
Use arithmetic operators and comparison operators in programs.
Position and move sprites using x and y coordinates.
Find and fix block, logic, and sequence errors systematically.
Recognize repeated code and refactor it into efficient patterns.
Create, name, and call custom blocks as reusable functions.
Build an interactive digital story with characters and choices.
Build an animation using costumes, position, timing, and loops.
Design a game with rules, goals, obstacles, scoring, and levels.
Program game mechanics including collision detection and timers.
Create digital art, quizzes, simulations, and music projects.
Collect, sort, count, and visualize data using lists and tables.
Explain the internet, networks, browsers, and cloud services.
Create strong passwords, browse safely, and recognize cyberbullying.
Discuss technology ethics, fairness, privacy, and AI awareness.
Connect coding to coordinates, geometry, angles, and graphs.
Use coding to build science models, simulations, and data projects.
Plan a project with requirements, storyboards, flowcharts, and a timeline.
Write test cases, gather user feedback, and improve a program.
Pair-program, take project roles, and resolve team disagreements.
Build and present a documented coding portfolio.

Assessment & Progress Tracking

Student progress is evaluated through:

Weekly coding activities
Computational thinking tasks
Algorithm design assignments
Unplugged coding challenges
Block coding assignments
Program flow exercises
Event programming tasks
Loop challenges
Conditional logic tasks
Variable and data exercises
Operator practice tasks
Coordinate challenges
Debugging challenges
Pattern recognition tasks
Function building assignments
Digital story projects
Animation projects
Game design assignments
Game mechanics projects
Creative coding projects
Data handling tasks
Internet concept quizzes
Digital citizenship assessments
Technology ethics discussions
Maths coding projects
Science coding projects
Project planning documents
Testing and improvement records
Collaboration observation
Coding portfolio assessment
Personalized progress reports

Why Choose NextChanakya for Illinois Grade 4 Coding Studies?

Broad alignment with widely used K–12 computer science frameworks
A full unplugged module — not everything happens on a screen
Operators and comparisons taught as their own module
Coordinates linked directly to Grade 4 mathematics
Functions and custom blocks introduced with parameters
Programming patterns and code improvement
Debugging taught systematically, with prediction
Two game modules: fundamentals and mechanics
Data including lists and visualization
A full internet and networks module
Cyberbullying awareness and digital footprints
A technology ethics module including AI awareness
Science simulations and sensor concepts
Flowcharts and storyboards for real planning
Test cases and user feedback, not just running the code
Pair programming, roles, and conflict resolution
A documented coding portfolio
Small live online classes with personal attention

Standards Note

This syllabus is offered as a coding, computational thinking, and STEM enrichment programme for students in Illinois, broadly informed by widely used K–12 computer science frameworks and the CSTA K–12 Computer Science Standards.

Computer science is not a mandatory Grade 4 subject in Illinois. Illinois schools and districts differ in whether and how they teach computing in the elementary grades, and may use different platforms, devices, instructional materials, pacing guides, activities, and assessments.

Illinois does not prescribe a single Grade 4 coding platform, textbook, curriculum sequence, or assessment system. This is not the only Grade 4 coding syllabus available, and no specific software, device, or coding platform is required statewide.

The programme is platform-neutral. Concepts such as sequencing, loops, conditionals, variables, functions, and debugging are taught so they transfer to any block-based coding environment a school or family chooses.

Online safety and digital citizenship content is taught at an age-appropriate, protective level. Students learn to create strong passwords, keep personal information private, browse safely, understand digital footprints, recognise cyberbullying, and tell a trusted adult about anything that worries them. All online activity should be adult-supervised.

The technology ethics module introduces fairness, privacy, the risks as well as benefits of technology, and basic AI awareness — that AI systems learn from data, can be wrong, and require human oversight. This is taught conceptually and requires no AI tool.

It is important to distinguish between computer science learning standards and the coding course structure created for this educational programme, which organises computing into a month-by-month teaching sequence.

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