Content Area 1

Problem solving

Develop computational thinking skills, algorithmic design capabilities, and systematic problem-solving strategies essential for digital production and software development.

3
Subtopics
25-30 hours
Study Time

Foundation Level Content

This is a foundation level content area that provides essential skills for all other T-Level Digital components. Master these concepts early as they underpin everything else in the qualification.

Core
Content Area
3
Subtopics
25-30
Study Hours
Pearson
Qualification

Content Subtopics

1.1 Computational thinking

Available

Purpose and use of decomposition, pattern recognition, abstraction, algorithmic design. Apply each technique to analyse problems and represent decomposition with diagrams, flowcharts, code, or structured text.

Key Learning Outcomes:

  • Decomposition techniques for breaking down complex problems
  • Pattern recognition and abstraction methods
  • Algorithmic design principles
  • Problem representation using various notation methods

1.2 Algorithmic design

Available

Ways to express algorithms: flowcharts, structured descriptions, code. Control with sequence, selection, iteration. Determine purpose, outputs, errors, translate between notations, and design working algorithms.

Key Learning Outcomes:

  • Algorithm expression methods (flowcharts, pseudocode, code)
  • Control structures: sequence, selection, iteration
  • Algorithm analysis: purpose, outputs, potential errors
  • Translation between different algorithmic notations

1.3 Strategies

Available

Top down, bottom up, modularisation. Root cause analysis: five whys, FMEA, event tree analysis. High level problem solving cycle: define, gather, analyse, plan, implement, review, and judge suitability of strategies.

Key Learning Outcomes:

  • Problem-solving strategies: top-down, bottom-up, modularisation
  • Root cause analysis techniques (5 whys, FMEA, event tree)
  • Problem-solving cycle: define → gather → analyse → plan → implement → review
  • Strategy evaluation and suitability assessment

Learning Resources

Study Guide
Comprehensive problem-solving guide
Video Tutorials
Step-by-step algorithmic design
Practice Exercises
Hands-on problem-solving activities
Assessment Tasks
Practice questions and scenarios

Assessment Information

Problem solving skills are assessed through the core component written examinations, typically featuring scenario-based questions requiring computational thinking application.

Question Types
Multiple choice, short answer, algorithmic design, problem decomposition
Key Skills Tested
Problem analysis, solution design, algorithm creation, strategy evaluation
Study Tips
Practice with real scenarios, understand different notation methods, work through examples

Ready to Start Learning?

Begin with subtopic 1.1 (Computational thinking) and progress through each area systematically. Problem-solving skills are fundamental to success in all other T-Level Digital components.