| Programme Title | Pearson BTEC Level 5 Higher National Diploma in Computing | ||
| Unit number | UNIT 16: Computing Research Project | ||
| Assignment title | Proposing and conducting a research project | ||
| Academic Year | 2026 – 2027 | ||
| Unit Tutor | |||
| Issue date | Submission date- | ||
The submission is in the form of 1 document
You must use font Calibri size 12, set number of the pages and use multiple line spacing at 1.3. Margins must be: left: 1.25 cm; right: 1 cm; top: 1 cm and bottom: 1 cm. The reference follows Harvard referencing system.
Students are compulsory to submit the assignment in due date and in a way requested by the Tutors. The form of submission will be a soft copy posted on http://cms.btec.edu.vn/
The Assignment must be your own work, and not copied by or from another student or from books etc. If you use ideas, quotes or data (such as diagrams) from books, journals or other sources, you must reference your sources, using the Harvard style. Make sure that you know how to reference properly, and that understand the guidelines on plagiarism. If you do not, you definitely get failed
LO1 Examine appropriate research methodologies and approaches as part of the research process
LO2 Conduct and analyse research relevant for a computing research project
LO3 Communicate the outcomes of a research project to identified stakeholders
Artificial Intelligence
Artificial intelligence is at the forefront of innovation within Computer Science that uses a combination of logic, algorithms and large data sets to produce an AI model. The AI model is created to perform specific tasks or make predictions on supplied sets of input data, for example identifying patterns in weather data, internet search data or analysis of medical data. Artificial intelligence is predicted to generate a potential impact to the global economy of $13-$15 Trillion by 2030, with sales of AI relatedhardware, software.
and services predicted to see a global revenue of $900 billion. It is predicted that AI will boost the GDP of China by a little over 26% by 2039, and of North America by 14.5%. AI requires the input of structured and labelled data, where the outputs are already known. The input data sets to the AI model are intrinsically linked to study field to which the AI engine is to be applied. The AI model can then be used to identify and recognise patterns and relationships within the input data. This identification step is referred to as ‘training’ the AI model. Once this training is completed, the model can then be used to make predictions and identify patterns within brand new data sets. This new data set can then be added to the existing data set, so that the AI model keeps ‘growing’. As the model data set keeps expanding, and the AI algorithms are modified and refined, this gives the impression that the AI is ‘learning’ and demonstrating ‘intelligence’. AI has been used extensively to analyse and process large and complex datasets produced by big data systems, often in real time and using Computer Vision to extract data from image sources. Developing Artificial Intelligence required a range of knowledge and skills across a broad range of computer science disciplines. Al developers need to be familiar with the algorithms and techniques in fields such as machine learning, natural language processing, computer vision and data science. Knowing the required computing skills will help organisations recruit the correct resources to help develop and extend AI systems.
Students are to choose their own research topic for this unit. Strong research projects are those with clear, well focused and defined objectives. A central skill in selecting a research objective is the ability to select a suitable and focused research objective. One of the best ways to do this is to put it in the form of a question. Students should be encouraged by tutors to discuss a variety of topics related to the theme to generate ideas for a good research objective.
The range of topics discussed, could cover the following areas:
You should read this information before starting to define and work through your research brief. You should refer to these instructions as you complete work for this unit.
The recommended outputs of the research are two reports. The first report should cover at least the following sections:
1. Produce a research proposal that clearly defines a research question or hypothesis supported by a literature review Introduce the research’ purpose, main aims and objectives of the project. What the research will do and don’t
2. Literature review
The Artificial intelligent in general
The impact of Artificial intelligent in your selected topic (for example: AI and chatbot)
3. Conduct primary research using appropriate methods for a computing research project that consider costs, access and ethical issues
4. Apply appropriate analytical tools, analyse research findings and data
5. Discuss merits, limitations and pitfalls of approaches to data collection and analysis
6. It should confirm or reject the hypothesis in the literature part.
7. Communicate research outcomes in an appropriate manner for the intended audience.(Provide outcomes for each audience)
8. Analyse the extent to which outcomes meet set research objectives and communicate judgements effectively for the intended audience
9. Evaluate outcomes and make valid, justified recommendations.(Explain why you have such
recommendations in section 7)
10. Approved project proposal-appendix
11. Approved project plan-appendix
12. Ethical form
13. Other materials which collected while conducting primary research: interview scripts, audio, experiment notes-appendix
| Pass | Merit | Distinction |
|---|---|---|
| LO1 Examine appropriate research methodologies and approaches as part of the research process | LO1 & 2
D1 Critically evaluate research methodologies and processes in application to a computing research project to justify chosen research methods and analysis. |
|
| P1 Produce a research proposal that clearly defines a research question or hypothesis supported by a literature review. | M1 Analyse different research approaches and methodology and make justifications for the choice of methods selected based on philosophical/theoretical frameworks | |
| P2 Examine appropriate research methods and approaches to primary and secondary research. | ||
| LO2 Conduct and analyse research relevant for a computing research project | ||
| P3 Conduct primary and secondary research using appropriate methods for a computing research project that considers costs, access and ethical issues. | M2 Discuss merits, limitations and pitfalls of approaches to data collection and analysis. | |
| P4 Apply appropriate analytical tools, analyse research findings and data. | ||
| LO3 Communicate the outcomes of a research project to identified stakeholders | D2 Evaluate outcomes and make valid, justified recommendations. | |
| 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 | |
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