Using everyday examples to illustrate computational thinking and programming concepts, the course encourages students to apply their learning to solve daily problems.
Course contents involve applications across different subjects, such as Chinese and mathematics to achieve a thorough understanding of the concepts.
A multitude of online and unplugged learning activities, such as interactive games and group discussions allow students to effectively learn from multiple contexts and experience practical applications of computational thinking.
Students' experiential data from learning activities is analyzed by an artificial intelligence (AI)-powered engine, which generates insightful graphical reports to aid teachers in keeping track of students' learning progress and performance to ensure they are at the correct place in the learning path.
Targeted at students aged 5 to 7 years old, with no prior coding experience needed, at 16 teaching hours in total.
Targeted at students aged from 8 or above, with no prior coding experience needed, at 16 teaching hours in total.
Targeted at students who have completed Elementary Level. 16 teaching hours in total.
Coding Galaxy’s curriculum maps to many international standards of computer science education.
For example, Coding Galaxy is in alignment with the CSTA K-12 Computer Science Standard which is developed by Computer Science Teachers Association (CSTA), a professional association that supports and encourages education in the field of computer science and related areas. The standard introduces the fundamental concepts of computer science to all students, beginning at elementary school level.
Let’s see how Coding Galaxy aligns with the standard:
L1:3.CT.1
Use technology resources (e.g. puzzles, logical thinking programs) to solve age-appropriate problems
L1:6.CT.1
Understand and use the basic steps in algorithmic problem-solving (e.g., problem statement and exploration, examination of sample instances, design, implementation and testing).
L1:6.CT.2
Develop a simple understanding of an algorithm (e.g., search, sequence of events or sorting) using computer-free exercises.
L2.CT.1
Use the basic steps in algorithmic problem-solving to design solutions (e.g., problem statement and exploration, examination of sample instances, design, implementing a solution, testing and evaluation).
L2.CT.2
Describe the process of parallelization as it relates to problem solving.
L2.CT.3
Define an algorithm as a sequence of instructions that can be processed by a computer.
L2.CT.4
Evaluate ways that different algorithms may be used to solve the same problem.
L2.CT.6
Describe and analyze a sequence of instructions being followed (e.g., describe a character’s behavior in a video game as driven by rules and algorithms).
L2.CT.12
Use abstraction to decompose a problem into sub problems.
L3A.CT.1
Use predefined functions and parameters, classes and methods to divide a complex problem into simpler parts.
L1:3.CT.1
Use technology resources (e.g. puzzles, logical thinking programs) to solve age-appropriate problems
L1:6.CPP.6
Implement problem solutions using a block based visual programming language.
L2.CPP.5
Implement problem solutions using a programming language, including: looping behavior, conditional statements, logic, expressions, variables and functions.
L2.CPP.6
Implement problem solutions using a programming language, including: looping behavior, conditional statements, logic, expressions, variables and functions.