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Unit Title
Unit 16: Computing Research Project -Pearson Set
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1 of 2
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Assessor Feedback:
LO1 Examine appropriate research methodologies and approaches as part of the research process
Pass, Merit & Distinction
Descripts
P1 P2 M1 D
LO2 Conduct and analyse research relevant to a chosen computing research project
Pass, Merit & Distinction
Descripts
P3 ☒ P4 ☐ M2 ☐ D1 ☐
LO3 Communicate the outcomes of a research project to identified stakeholders
Pass, Merit & Distinction
Descripts
P5 ☐ M3 ☐ D2 ☐
LO4 Reflect on the application of research methodologies and concepts
Pass, Merit & Distinction
Descripts
P6 ☐ P7 ☐ M4 ☐ D3 ☐
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Student name: Assessor name:
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Programme:
HND in Computing
Unit: 16 – Computing Research Project
Assignment number and title:
1 -research proposal | Computing Research Project on Artificial Intelligence
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Unit Learning Outcomes:
LO1. Examine appropriate research methodologies and approaches as part of the research
process.
LO2. Conduct and analyse research relevant to a chosen computing research project
LO3. Communicate the outcomes of a research project to identified stakeholders
LO4. Reflect on the application of research methodologies and concepts
Transferrable skills and Competencies developed
Assignment Brief and Guidance:
Research Theme: 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 related hardware, 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 recognize 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 analyses 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. AI 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. Artificial Intelligence has a range of benefits across many industry
sectors. In the finance industry, AI is rapidly becoming a game changer, using advanced algorithms,
models and machine learning to carry out predictive analytics on large, rapidly changing financial
datasets to provide more accurate financial predictions. In the field of business operations, AI
automation is helping to support and enhance labour. productivity, leading to greater cost savings and
increased efficiency. AI is also revolutionising the way businesses interact with their customers, by
providing AI driven expert systems to help customers resolve queries as well as providing personalised
recommendations based on customer choices and preferences. In the field of biomedical science, AI
models help in the development of new drug treatments for a range of diseases by searching and
processing large scale medical and DNA datasets.
Project Proposal should cover the following areas.
- Definition of research problem or question.
- Provide a literature review giving the background and conceptualization of the proposed area of
study. (This would provide existing knowledge and benchmarks by which the data can be judged)
- Clearly defined research objectives, questions or hypotheses supported by the reviewed
literature.
- Critical evaluation of the research process /different research methodologies that can be applied
to computing research project by demonstrating an understanding of the pitfalls, ethical issues,
and limitations. choose a suitable research methodology and justify the selection based on
theoretical/philosophical frameworks.
Activity 2 – Conducting the research and producing the final research paper
The Learner requires to produce a detailed research project report covering following areas
Conduct primary and secondary research using appropriate methods for a computing research
project that considers costs, access and ethical issues.
Carry out your research and apply appropriate analytical tools to analyse research findings and
data.
Draw conclusion based on the research findings.
Communicate the outcomes of your research project to the identified audience. Analyze
and discuss merits, limitations and pitfalls experienced in research methodologies and data
collections methods applied considering to which extent the project objectives were met.
Evaluate the project outcomes to suggest justified recommended actions leading to
future improvements and future research consideration.
Reflect on the success of your research project and your performance at the end of the
project by evaluating the research process followed and the methodologies applied.
Consider alternative research methodologies and lessons learnt in view of the project
outcomes.
Activity 3 – formal Presentation on Research findings
Communicate the findings of your research project to identified stakeholders in a 10–15-minute
formal presentation. The presentation should cover,
A brief introduction to the research area, objectives, hypotheses/research questions.
Analysis of the research and data collection methodologies followed.
A summary of the research findings
Conclusion and summary of the recommended actions
Future improvements and research considerations.
Recommended resources
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 edn. 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 edn. London: SAGE.
Saunders, M., Lewis, P. and Thornhill, A. (2012) Research Methods for Business
Students.
6th edn. 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
Links
This unit links to the following related units:
Unit 3: Professional Practice
Unit 6: Planning a Computing Project (Pearson-set)
Unit 7: Software Development Lifecycles.
Appendix 1 – Project proposal
template
Research Proposal Form
Student Name
Student number Date
Centre Name
Unit
Tutor
Proposed title
Section One: Title, objective, responsibilities
Title or working title of research project (in the form of a question, objective or hypothesis): Research
project objectives (e.g. what is the question you want to answer? What do you want to learn how to
do? What do you want to find out?): Introduction, Objective, Sub Objective(s), Research Questions
and/or Hypothesis
Section Two: Reasons for choosing this research project
Reasons for choosing the project (e.g. links to other subjects you are studying, personal interest, future
plans, knowledge/skills you want to improve, why the topic is important): Motivation, Research gap
Section Three: Literature sources searched
Use of key literature sources to support your objective, Sub Objective, research
question and/or hypothesis: Can include the Conceptual Framework
Section Four: Activities and timescales
Activities to be carried out during the research project (e.g. research,
development, analysis of ideas, writing, data collection, numerical analysis,
tutor meetings, production of final outcome, evaluation, writing the report)
and How long this will take:
Milestone Propose completion
data
Section Five: Research approach and methodologies
Type of research approach and methodologies you are likely to use, and
reasons for your choice: What your areas of research will cover: Research
Onion; Sample Strategy/Method; Sample Size
Comments and agreement from tutor
Comments
(optional):
I confirm that the project is not work which has been or will be submitted for
another qualification and is appropriate.
Agreed Yes ☐ No
Name Date
Comments and agreement from project proposal checker (if applicable)
Research Ethics Approval Form
All students conducting research activity that involves human participants or the use of data
collected from human participants are required to gain ethical approval before commencing
their research. Please answer all relevant questions and note that your form may be returned
if incomplete.
Section 1: Basic Details
Project title:
Student name:
Student ID number:
Programme:
School:
Intended research start date:
Intended research end date:
Section 2: Project Summary
Please select all research methods that you plan to use as part of your project
Interviews: ☐
Questionnaires: ☐
Observations: ☐
Use of Personal Records: ☐
Data Analysis: ☐
Action Research: ☐
Focus Groups: ☐
Other (please specify): ☐ ................................................................
Section 3: Participants
Please answer the following questions, giving full details where necessary.
Will your research involve human participants?
Who are the participants? Tick all that apply:
Age 12-16 ☐ Young People aged 17–18 ☐ Adults ☐
How will participants be recruited (identified and approached)?
Describe the processes you will use to inform participants about what you are doing:
Studies involving questionnaires:
Will participants be given the option of omitting questions they do not wish to answer?
Yes ☐ No ☐
If “NO” please explain why below and ensure that you cover any ethical issues arising from this.
Studies involving observation:
Confirm whether participants will be asked for their informed consent to be
observed.
Yes ☐ No ☐
Will you debrief participants at the end of their participation (i.e. give them a
brief explanation of the study)?
Yes ☐ No ☐
Will participants be given information about the findings of your study? (This
could be a brief summary of your findings in general)
Yes ☐ No ☐
Section 4: Data Storage and Security
Confirm that all personal data will be stored and processed in compliance with
the Data Protection Act (1998)
Yes ☐ No ☐
Who will have access to the data and personal information?
During the research:
Where will the data be stored?
Will mobile devices such as USB storage and laptops be used?
Yes ☐ No ☐
If “YES” , please provide further details:
After the research:
Where will the data be stored?
How long will the data and records be kept for and in what format?
Will data be kept for use by other researchers?
Yes ☐ No ☐
If “YES” , please provide further details:
Section 5: Ethical Issues
Are there any particular features of your proposed work which may raise
ethical concerns? If so, please outline how you will deal with these:
