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Unit 16 Computing Research Project (K/618/7425) Assignment Brief 2026

· 📅 June 4, 2026 · ⏱ 7 min read
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Unit 16 Computing Research Project Assignment Brief

Qualification Pearson BTEC Level 5 Higher Nationals in Computing
Unit Number 16
Unit Title Computing Research Project
Unit code K/618/7425
Assignment title Research Project on Artificial Intelligence
Unit level 5
Credit value 30

Submission Format

Written Report:

The recommended word limit is 2,500– 4000 for the case study, although you will not be penalised for going under or exceeding the total word limit.

Unit Learning Outcomes

LO1 Examine appropriate research methodologies and approaches as part of the research process

LO2 Conduct and analyse research relevant to a computing research project

LO3 Communicate the outcomes of a research project to identified stakeholders

LO4 Reflect on the application of research methodologies and concepts.

Transferable Skills and Competences Developed

  • Demonstrate knowledge and understanding of essential facts, concepts, principles and theories relating to computing and computer applications
  • Recognise and analyse criteria and specifications appropriate to specific problems, and plan strategies for their solutions.
  • Methods and tools: deploy appropriate theory, practices and tools for the design, implementation and evaluation of computer-based systems.
  • Recognise the professional, economic, social, environmental, moral and ethical issues involved in the sustainable exploitation of computer technology and be guided by the adoption of appropriate professional, ethical and legal practices.
  • The ability to evaluate systems in terms of quality attributes and possible trade-offs presented within the given problem
  • The ability to critically evaluate and analyse complex problems, including those with incomplete information, and devise appropriate solutions, within the constraints of a budget.

Generic skills for Employability

  • Intellectual skills: critical thinking; making a case; numeracy and literacy

Contextual awareness, e.g. the ability to understand and meet the needs of individuals, business and the community, and to understand how workplaces and organisations are governed.

Vocational Scenario

Scenario

Artificial Intelligence (AI) is transforming industries and reshaping the way we live and work. From personalized healthcare and smart transportation to predictive analytics and automated customer service, AI technologies are becoming deeply embedded in both business and everyday life. As AI adoption accelerates, the global market is expected to grow significantly, reaching over $1.5 trillion by 2030. This rapid growth presents unprecedented opportunities for innovation, productivity, and economic development.

However, with the rising use of AI systems comes a range of challenges that require urgent attention. These include ethical concerns, such as bias and fairness in AI decision-making, data privacy, transparency, accountability, and the potential displacement of jobs due to automation. Additionally, the development and training of large AI models demand considerable computational resources, contributing to increasing energy consumption and raising environmental concerns.

It is the responsibility of professionals in the digital sector to ensure that AI technologies are developed and implemented in ways that are ethical, inclusive, and sustainable. As we continue to explore AI’s potential, we must also address the challenges it poses to society and the environment, aiming to build a future where AI benefits all.

As part of your internship in the R&D (Research and Development) department in ISPS, a business consulting company, you have been assigned the task to prepare a research paper about Artificial Intelligence issues to be presented at the upcoming conference dedicated to digital innovation and emerging technologies.

Assignment Activity and Guidance

Activity 1

In order to start your research, you need to produce a proposal that include the following:

  • Title, aims and objective of the project.
  • Research question or hypothesis and related literature review.
  • Evaluate different research methodology and then examine appropriate methods and justification for the choice you selected based on philosophical frameworks.

You can use the attached template.

Activity 2

After having your assessor sign off for the chosen topic:

  • Conduct primary and secondary research project for AI problem in scenario by selecting sample types and size that are relevant to the research and applying appropriate research methods consider costs and ethical, reliability and validity issues, then apply suitable analytical tools to analyse finding and data. Discuss the benefits and challenges of data collection and analysis.
  • Evaluate in critical manner the research methodologies and its application in computing research field to justify the selection of appropriate methods for research and analysis.

Activity 3

Write a report to communicate, Coherently and logically, research outcome and demonstrate how outcomes meet research objectives, while critically analysing them and making valid, justified recommendations.

Activity 4

After finalizing your research, you are asked to demonstrate reflection and engagement in the resource process leading to recommended actions for future improvement by providing critical reflection and insight that results in recommended actions for improvements and future research considerations.

Please note that the resources listed are examples for you to use as a starting point in your research – the list is not definitive

Textbooks

– Cornford, T., Smithson S. (2005) Project Research in Information Systems: A Student’s Guide. Paperback. Palgrave Macmillan.

– Costley, C., Elliott, G. and Gibbs, P. (2010) Doing Work Based Research: Approaches to Enquiry for Insider-researchers. London: SAGE.

– Fink, A. (2020) Conducting Research Literature Reviews: From the Internet to Paper. 5th Ed. Sage Publications Inc.

– Flick, U. (2020) Introducing Research Methodology: A Beginner’s Guide to Doing a Research Project. London: Sage Publications Ltd.

-Gray, D.E. (2009) Doing Research in the Real World. 2nd Ed. London: SAGE.

Saunders, M., Lewis, P. and Thornhill, A. (2012) Research Methods for Business Students. 6th Ed. Harlow: Pearson.

Wellington, J. (2000) Educational Research: Contemporary Issues and Practical Approaches. Continuum International Publishing Group Ltd.

Journals

International Journal of Quantitative and Qualitative Research Qualitative Research

Learning Outcomes and Assessment Criteria

Pass Merit Distinction
LO1 Examine appropriate research methodologies and approaches as part of the research process LO1 and LO2
P1 Produce a research proposal that clearly defines a research question or hypothesis, supported by a literature review.

P2 Examine appropriate research methods and approaches to primary and secondary research.

M1 Analyse different research approaches and methodology and make

justifications for the choice of methods selected based on philosophical/theoretical frameworks.

D1 Critically evaluate research methodologies and processes in application to a computing research project to justify chosen research methods and analysis.
LO2 Conduct and analyse research relevant to a computing research project
P3 Conduct primary and secondary research using appropriate methods for a computing research project that consider costs, access and ethical issues.

P4 Apply appropriate analytical tools, analyse research findings and data.

M2 Discuss merits, limitations and pitfalls of approaches to data collection and analysis.

 

Pass Merit Distinction
LO3 Communicate the outcomes of a research project to identified stakeholders  
P5 Communicate research outcomes in an appropriate manner for the intended audience. M3 Analyse the extent to which outcomes meet set research objectives and communicate judgements

effectively for the intended audience

D2 Evaluate outcomes and make valid, justified recommendations.

 

LO4 Reflect on the application of research methodologies and concepts
P6 Discuss the effectiveness of research methods applied, for meeting objectives of the computing research project.

P7 Discuss alternative research methodologies and lessons learnt in view of the outcomes.

M4 Analyse results in recommended actions for improvements and future research considerations.

 

D3 Demonstrate reflection and engagement in the resource process, leading to recommended actions for future improvement.

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