Computational thinking and programming

What you can do at this level

• CS3.4.01No AI reference

  Recognise the role of programming in society, and common uses of computer programs and applications.

• CS3.4.02No AI reference

  Recognise computational thinking as a human activity which involves the identification of steps that can be performed by a computer to solve a problem or task.

• CS3.4.03Explicit AI

  Recognise what AI is in general terms, making a basic distinction between what is and what is not an AI system.

• CS3.4.04Implicit AI

  Represent simple sequences symbolically, interpret simple symbolic sequences, and give basic instructions to a computer to perform simple tasks.

What you learn at this level

• LO3.4.02KImplicit AI

  Identify common uses of computer programs and applications.

• LO3.4.01AExplicit AI

  Acknowledge the essential role of humans in determining how computer programs and AI systems are used.

• LO3.4.07SImplicit AI

  Give basic instructions to a computer to perform simple tasks.

• LO3.4.03KNo AI reference

  Recognise computational thinking as a human activity which involves the identification of steps that can be performed by a computer to solve a problem or task.

• LO3.4.08SNo AI reference

  Represent simple sequences symbolically, and interpret simple symbolic sequences.

• LO3.4.04KExplicit AI

  Recognise what AI is in general terms.

• LO3.4.05KExplicit AI

  Identify, in a general way, what is and what is not an AI system.

• LO3.4.06KExplicit AI

  Identify common examples of applications of AI systems.

What you can do at this level

• CS3.4.05Implicit AI

  Acknowledge the relevance of computational thinking, algorithmic representation and programming to everyday contexts.

• CS3.4.06Implicit AI

  Distinguish between a computational model of reality and reality itself.

• CS3.4.07No AI reference

  Define differences between a computable problem and a non-computable problem, and general steps in computational thinking.

• CS3.4.08Implicit AI

  Define foundational programming concepts and recognise that there are a variety of programming languages, each with a range of potential uses.

• CS3.4.09Explicit AI

  Recognise that machine learning is a type of programming used in AI that enables algorithms to learn from data and make predictions.

• CS3.4.10Explicit AI

  Recognise that there are steps that should be followed to develop, validate and deploy a computer program or an AI system.

• CS3.4.11Implicit AI

  Translate basic information into logical operations, develop basic programs with control structures, and create visual representations to illustrate basic algorithms.

What you learn at this level

• LO3.4.11KImplicit AI

  Distinguish between a computational model of reality and reality itself.

• LO3.4.22SImplicit AI

  Translate basic information into logical operations.

• LO3.4.09AImplicit AI

  Acknowledge the relevance of computational thinking, algorithmic representation and programming in everyday contexts.

• LO3.4.12KNo AI reference

  Recognise, with examples from computational thinking or programming, the concept of algorithm.

• LO3.4.23SImplicit AI

  Develop basic programs with control structures.

• LO3.4.10AImplicit AI

  Acknowledge the importance of ethics and accessibility in programming contexts.

• LO3.4.24SImplicit AI

  Create visual representations such as flow diagrams to illustrate basic algorithms.

• LO3.4.13KNo AI reference

  Define differences between a computable problem and a non-computable problem.

• LO3.4.14KNo AI reference

  Define general steps in computational thinking.

• LO3.4.15KNo AI reference

  Recognise that there are a variety of programming languages, each with a range of potential uses.

• LO3.4.16KNo AI reference

  Define foundational programming concepts and general steps in programming.

• LO3.4.17KNo AI reference

  Recognise the role of programming in robotics.

• LO3.4.18KExplicit AI

  Recognise that machine learning is a branch of AI that enables algorithms to learn from data and make predictions.

• LO3.4.19KExplicit AI

  Recognise that there are steps that should be followed to develop, validate and deploy a computer program or an AI system.

• LO3.4.20KExplicit AI

  Describe examples of machine learning applications.

• LO3.4.21KExplicit AI

  Describe examples of AI system applications from a range of sectors of society.

What you can do at this level

• CS3.4.12Explicit AI

  Acknowledge the importance of human oversight and human-centric approaches in the development and deployment of computer programs and AI systems.

• CS3.4.13Explicit AI

  Describe the main steps in developing, validating and deploying a computer program or an AI system.

• CS3.4.14Implicit AI

  Describe examples of the application of computational thinking and programming in robotics.

• CS3.4.15Explicit AI

  Distinguish between main types of machine learning.

• CS3.4.16Explicit AI

  Assess ethical and practical aspects of the development and deployment of computer programs and AI systems.

• CS3.4.17Explicit AI

  Identify and (partially or fully) automate routine tasks with programming tools or AI systems.

• CS3.4.18Explicit AI

  Apply programming tools or AI systems to complex computational thinking tasks.

What you learn at this level

• LO3.4.25AExplicit AI

  Acknowledge the importance of human oversight and human-centric approaches in the development and deployment of computer programs and AI systems.

• LO3.4.33SExplicit AI

  Assess ethical and practical aspects of the development and deployment of computer programs and AI systems.

• LO3.4.26KExplicit AI

  Define the concepts and role of human-centric approaches and human oversight in the context of programming and AI systems.

• LO3.4.27KExplicit AI

  Describe the main steps in developing, validating and deploying a computer program or an AI system.

• LO3.4.34SExplicit AI

  Apply computational thinking, knowledge of programming and/or AI systems to (partially or fully) automate routine tasks.

• LO3.4.35SExplicit AI

  Apply programming tools or AI systems to complex computational thinking tasks.

• LO3.4.28KExplicit AI

  Distinguish between main types of machine learning.

• LO3.4.29KExplicit AI

  Identify the main features and purposes of commonly-used machine learning algorithms.

• LO3.4.30KNo AI reference

  Describe the role of user experience (UX) and customer experience (CX) in programming.

• LO3.4.31KImplicit AI

  Describe examples of the application of computational thinking and programming in robotics.

• LO3.4.32KExplicit AI

  Identify routine tasks which could be (partially or fully) automated through programming tools or AI systems.

What you can do at this level

• CS3.4.19Explicit AI

  Promote and support ethical programming and/or AI system development practices.

• CS3.4.20Explicit AI

  Stay informed about current developments in programming techniques and related applications of AI systems, such as robotics.

• CS3.4.21Explicit AI

  Lead or contribute to complex projects focused on applications of computational thinking, programming or AI systems, including developing, validating and deploying computer programs or AI systems.

• CS3.4.22Explicit AI

  Assist others to develop basic programming capabilities and/or capabilities in the application of AI systems to computational thinking tasks.

What you learn at this level

• LO3.4.38SExplicit AI

  Lead or contribute to complex projects focused on applications of computational thinking, programming or AI systems, including developing, validating and deploying computer programs or AI systems.

• LO3.4.36AExplicit AI

  Promote and support ethical programming and/or AI systems development practices.

• LO3.4.37AExplicit AI

  Stay informed about current developments in programming techniques and related applications of AI systems, such as robotics.

• LO3.4.39SExplicit AI

  Assist others to develop basic programming capabilities and/or or capabilities in the application of AI systems to computational thinking tasks.