Paper 1 Guidance (OCR GCSE Computer Science): Revision Note

What is examined in the OCR GCSE (9-1) Computer Science Paper 1?

• It focuses on the fundamental principles and concepts of computer science

• The content assessed in Paper 1 includes:

  • Computer systems: This covers the majority of the specification content, including:

    • The characteristics of contemporary processors, input, output, and storage devices

    • Software and software development, including types of software and methodologies for software development

    • Exchanging data, which involves databases, networks, and web technologies

    • Data types, data structures, and algorithms

    • Legal, moral, cultural, and environmental issues associated with digital technology

• Mathematical skills are embedded throughout the content and will be assessed in the written paper

• The paper's duration is 1 hour and 30 minutes

• The total number of marks available is 80

• Paper 1 represents 50% of the total GCSE qualification

Assessment structure and questions

• The paper will feature a mix of question types:

  • Multiple-choice questions

  • Short response questions

  • Medium answer questions

  • Longer answer questions

• There will also be one 8-mark extended response question

• This particular question is designed to allow students to demonstrate their ability to construct and develop a sustained line of reasoning

• Questions may involve elements such as following and correcting algorithms and programs, software development concepts, and legal and moral issues

• Calculators are not permitted for this examination

Key considerations for students:

• Ensure a comprehensive understanding of all topics under the 'Computer systems' component, as the entire content is examinable

• Be prepared to apply knowledge in different contexts, including current and future uses of technologies

• Practice constructing and developing sustained lines of reasoning for extended response questions

• Familiarity with the OCR Exam Reference Language (opens in a new tab) is key for understanding algorithms presented in the paper