Planning and Carrying Out ResearchOCN London Apprenticeship Assessment Qualification Computer Science Revision

    This topic covers the process of planning and carrying out research, including developing a research plan, executing it, and presenting findings while revi

    Topic Synopsis

    This topic covers the process of planning and carrying out research, including developing a research plan, executing it, and presenting findings while reviewing own skills. Learners will learn to identify research objectives, select appropriate methods, and reflect on their performance.

    Key Concepts & Core Principles

    Exam Tips & Revision Strategies

    Common Misconceptions & Mistakes to Avoid

    Examiner Marking Points

    Planning and Carrying Out Research

    OCN LONDON
    vocational

    This element develops foundational research skills essential for digital industries, focusing on structured planning, systematic execution, and effective communication of findings. Learners will demonstrate their ability to define research questions, select appropriate methods and sources, and critically evaluate their own performance to reinforce continuous improvement.

    2
    Learning Outcomes
    7
    Assessment Guidance
    7
    Key Skills
    2
    Key Terms
    9
    Assessment Criteria

    Assessment criteria

    OCNLR Level 1 Extended Certificate in Skills for Professions in Digital Industries and Technology
    OCNLR Level 1 Certificate in Skills for Professions in Digital Industries and Technology

    Topic Overview

    The OCNLR Level 1 Certificate in Skills for Professions in Digital Industries and Technology introduces you to the fundamental skills needed for a career in the digital sector. This qualification covers key areas such as understanding digital devices, online safety, basic programming concepts, and using productivity software. It is designed to give you a solid foundation in digital literacy and technical skills, preparing you for further study or entry-level roles in IT support, web development, or digital media.

    In this course, you will explore how digital technologies are used in everyday life and in professional environments. You will learn about hardware components, software applications, and the importance of cybersecurity. The qualification also emphasises practical skills, such as creating simple programs using block-based languages like Scratch, and using tools like spreadsheets and word processors to solve problems. By the end, you will understand how digital industries operate and the roles within them.

    This certificate is part of a broader vocational pathway in digital industries. It aligns with the UK government's focus on digital skills and provides a stepping stone to higher-level qualifications, such as the Level 2 Certificate in Digital Technologies. The skills you gain are directly applicable to real-world scenarios, making this qualification valuable for both academic progression and employment in the growing tech sector.

    Key Concepts

    Core ideas you must understand for this topic

    • Digital devices: Understand the difference between input, output, and storage devices, and how they work together in a computer system.
    • Online safety: Know how to protect personal data, recognise phishing attempts, and use secure passwords to stay safe online.
    • Basic programming: Use block-based programming (e.g., Scratch) to create sequences, loops, and simple animations, understanding the logic behind code.
    • Productivity software: Demonstrate competence in using word processors, spreadsheets, and presentation software for tasks like formatting, data entry, and creating charts.
    • Digital industries: Identify different sectors within digital industries, such as software development, IT support, and digital marketing, and the skills required for each.

    Learning Objectives

    What you need to know and understand

    • Be able to plan research., Be able to carry out the research plan., Be able to present the findings of the research and review own skills.
    • Be able to plan research., Be able to carry out the research plan., Be able to present the findings of the research and review own skills.

    Assessment Criteria

    Key criteria assessors look for in your portfolio

    • Award credit for demonstrating a clear research plan with specific, measurable objectives, proposed data sources, and a realistic timeline.
    • Evidence must show the systematic execution of the plan, including accurate data collection, appropriate use of digital tools, and documentation of any adjustments made during the process.
    • Assessment should confirm that the presentation of findings is structured logically, uses suitable formats (e.g., reports, slides, infographics), and accurately references sources.
    • The review of own skills must include a reflective account identifying strengths, weaknesses, and actionable improvements for future research tasks.
    • Clearly defines research aims and objectives.
    • Selects appropriate research methods and sources.
    • Follows the research plan systematically.
    • Presents findings in a clear, structured format.
    • Reviews own skills and identifies areas for improvement.

    Assessment Guidance

    Guidance for achieving higher grades

    • 💡Always align the research plan directly with the assessment criteria; explicitly state how each step will satisfy a specific learning outcome.
    • 💡Use a project log or diary to record ongoing reflections and decisions—this provides natural evidence for both execution and review.
    • 💡When presenting findings, prioritize clarity over complexity: use visuals and bullet points to highlight key insights for the assessor.
    • 💡For the review of skills, link your reflections explicitly to the research process, citing specific instances where you adapted or overcame challenges.
    • 💡Use SMART criteria to set research objectives.
    • 💡Keep a log of research activities to track progress.
    • 💡Structure findings with headings and summaries.
    • 💡When answering questions about digital devices, always give specific examples (e.g., 'a keyboard is an input device') and explain their purpose. This shows deeper understanding.
    • 💡For programming tasks, plan your algorithm before coding. Use comments in your code to explain each step – this demonstrates logical thinking and can earn you marks even if the code has minor errors.
    • 💡In online safety questions, use real-world scenarios to illustrate your points. For example, describe a phishing email and explain how to identify it. This shows you can apply knowledge practically.

    Common Mistakes

    Common errors to avoid in your coursework

    • Vague research objectives that are not clearly defined or measurable, leading to unfocused inquiry.
    • Neglecting to document changes to the research plan, resulting in a disconnect between the plan and the final evidence.
    • Over-reliance on a single type of source without evaluating credibility, leading to biased or weak findings.
    • Confusing presentation of findings with a simple list of raw data instead of interpreted, summarized results.
    • Research aims are too vague or broad.
    • Fails to use credible or relevant sources.
    • Does not reflect on own performance or skills.
    • Misconception: 'Programming is only about writing complex code.' Correction: Programming starts with simple logic and sequences. Block-based languages like Scratch help you understand concepts without needing to memorise syntax.
    • Misconception: 'Online safety is just about not sharing passwords.' Correction: It also includes recognising scams, understanding privacy settings, and knowing how to report inappropriate content.
    • Misconception: 'Spreadsheets are just for making tables.' Correction: Spreadsheets can perform calculations, create graphs, and analyse data using formulas and functions, which are essential skills in many digital roles.

    Frequently Asked Questions

    Common questions students ask about this topic

    Before You Start

    Prior knowledge that will help with this topic

    • Basic computer literacy: Ability to use a mouse, keyboard, and navigate the internet.
    • Simple maths skills: Understanding of basic arithmetic for spreadsheet calculations and programming logic.
    • No prior programming experience is required, but an interest in how technology works is beneficial.

    Key Terminology

    Essential terms to know

    • Be able to plan research., Be able to carry out the research plan., Be able to present the findings of the research and review own skills.
    • Be able to plan research., Be able to carry out the research plan., Be able to present the findings of the research and review own skills.

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