Carrying Out a Science or Technology Project
This element focuses on the complete lifecycle of a small-scale science or technology project, from initial idea selection and planning, through research and practical investigation, to presenting findings and critically evaluating both the outcomes and personal performance. It equips learners with essential vocational skills in project management, scientific inquiry, and reflective practice, mirroring real-world laboratory and technology settings.
Assessment criteria
Topic Overview
The OCNLR Level 2 Award in Skills for Professions in Applied Science and Technology introduces you to the core skills and knowledge required for careers in scientific and technical industries. This qualification covers essential topics such as laboratory safety, scientific communication, data handling, and the use of equipment. It is designed to prepare you for further study or entry-level roles in fields like biomedical science, environmental science, or engineering technology.
You will develop practical skills through hands-on activities, including measuring, recording observations, and interpreting results. The course also emphasises professional behaviours, such as teamwork, time management, and following standard operating procedures. By the end, you will be able to apply scientific methods to solve real-world problems and understand how science and technology contribute to society.
This award is part of a broader vocational pathway, linking to higher-level qualifications like the Level 3 Diploma in Applied Science. It is ideal if you are considering apprenticeships, T Levels, or direct employment in science-based industries. The skills you gain are transferable across many sectors, making this a strong foundation for your future career.
Key Concepts
Core ideas you must understand for this topic
- →Health and Safety: Understand COSHH, risk assessments, and correct use of PPE to work safely in a laboratory.
- →Scientific Method: Follow steps including hypothesis, experiment, observation, and conclusion to investigate problems.
- →Data Handling: Collect, record, and present data using tables, graphs, and basic statistics (mean, range).
- →Equipment Use: Identify and correctly use common lab equipment like balances, pipettes, and microscopes.
- →Communication: Write clear scientific reports and present findings using appropriate scientific language.
Learning Objectives
What you need to know and understand
- Justify the selection of a science or technology project by outlining its aims and feasibility.
- Employ appropriate research methods to gather relevant information from credible sources.
- Apply scientific or technical skills to execute planned project activities safely and effectively.
- Communicate project procedures, findings, and conclusions using suitable formats and terminology.
- Evaluate the success of the project outcomes against initial objectives and identify areas for improvement.
- Assess own performance and skill development throughout the project lifecycle.
Assessment Criteria
Key criteria assessors look for in your portfolio
- Award credit for a clearly defined project proposal with realistic aims and justification.
- Credit for demonstrating effective use of research sources, including proper referencing.
- Credit for practical work that follows health and safety protocols and records accurate data.
- Credit for a well-structured presentation that uses appropriate visual aids and technical language.
- Credit for a reflective evaluation that identifies both strengths and weaknesses with specific examples.
Assessment Guidance
Guidance for achieving higher grades
- 💡Ensure all stages of the project are documented with clear evidence, including planning documents, research notes, and reflective journals.
- 💡Use the assessment criteria as a checklist throughout the project to verify that every aspect is evidenced.
- 💡Practice presenting to peers or in a mock setting to refine communication skills and receive feedback.
- 💡Link evaluation directly to the original project aims and use specific evidence to support judgments about success.
- 💡Seek supervisor feedback regularly to stay on track and address any issues early.
- 💡When writing a method, use numbered steps and include specific quantities (e.g., 'add 5 cm³ of acid') to show precision.
- 💡For data analysis, always calculate the mean and identify any anomalous results. Explain why an anomaly might have occurred.
- 💡In conclusions, link your results back to the hypothesis. Use evidence from your data to support your statements.
Common Mistakes
Common errors to avoid in your coursework
- Selecting a project topic that is too broad or unrealistic to complete within the given timeframe.
- Failing to keep a detailed log or record of practical activities, leading to insufficient evidence for assessment.
- Neglecting to cite sources properly or relying on non-credible internet sources.
- Presenting findings without explaining the scientific or technical principles behind them.
- Confusing evaluation with description: merely summarising what happened rather than critically analysing outcomes and performance.
- Misconception: 'Risk assessments are just paperwork.' Correction: Risk assessments are vital for identifying hazards and preventing accidents; they must be reviewed and updated regularly.
- Misconception: 'All measurements are exact.' Correction: Every measurement has uncertainty; you should record values to the correct number of decimal places and include units.
- Misconception: 'Graphs must always start at zero.' Correction: While bar charts often start at zero, line graphs can use a broken axis to show trends more clearly, but this must be indicated.
Frequently Asked Questions
Common questions students ask about this topic
Pass / Merit / Distinction Evidence Checklist
How your portfolio evidence is graded for OCN LONDON Carrying Out a Science or Technology Project
Every vocational unit is marked against named criteria rather than an exam percentage. Your tutor's brief lists the exact codes for this unit — here is what each band is asking you to do.
Demonstrate baseline knowledge, accurate terminology, and core practical application.
Provide detailed analysis, structured explanations, and clear workplace reasoning.
Deliver thorough evaluation, original problem solving, and fully justified recommendations.
Before You Start
Prior knowledge that will help with this topic
- •Basic numeracy and literacy skills (GCSE English and Maths at grade 3 or above).
- •Familiarity with simple scientific concepts from Key Stage 3 Science (e.g., states of matter, energy).
Coursework AI Review
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Key Terminology
Essential terms to know
- Project selection and justification
- Research methodology and information gathering
- Practical implementation and data collection
- Presentation and communication of findings
- Evaluation and reflective practice
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