1639-assignment 2-Computing Research Project, Assignments of Computer Science

Download 1639-assignment 2-Computing Research Project and more Assignments Computer Science in PDF only on Docsity! (ua UNIVERSITY of ws? GREENWICH Alliance with age. Education Higher Nationals in Computing Computing Research Project ASSIGNMENT 2 Assessor name: Ngô Quốc Anh Learner’s name: Am Giang Hạo Tùng ID: GCS200519 Class: GCS0904A Subject code: 1639 Assignment due: Assignment submitted: ASSIGNMENT 2 BRIEF Qualification BTEC Level 5 HND Diploma in Computing Unit number UNIT 13: Computing Research Project Assignment title Doing reflection on your project Academic Year 2022 - 2023 Unit Tutor Ngo Quoc Anh Issue date 03 August 2022 Submission date 03 August 2022 IV name and date Submission Format: Format: 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. Submission 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.greenwich.edu.vn/ Note: 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 Unit Learning Outcomes: LO4 Reflect on the application of research methodologies and concepts Assignment Brief and Guidance: Scenario As you have completed your research project now it is time to look back and learn some lessons from your work. You need to prepare a report to describe your personal development. Remember to write your own experience, thoughts and it is specific to YOU NOT explaining the general concepts. Here are some suggestions which you can put in the report:  Project’s proposal, the research process(sequential example) how it helped you completed your research  Reflection on the merits, limitations and potential pitfalls of the chosen methods: examples qualitative research, secondary research; the relationship between the two in your research Page 5  The roles of Literature review in your project  How did you create project plan and how often you did you update it. Why you need you need to update the plan  How often did you meet the tutor and how the tutor helped you to create more effective research.  How did you choose participations(sample types, sizes) and the importance of it?  How did you present your research result?  Consider other research approach and improvements in future research  ….. Page 6 Learning Outcomes and Assessment Criteria Pass Merit Distinction LO4 Reflect on the application of research methodologies and concepts D3 Demonstrate reflection and engagement in the resource process leading to recommended actions for future improvement. P6 Reflect on the effectiveness of research methods applied for meeting objectives of the computing research project. P7 Consider alternative research methodologies and lessons learnt in view of the outcomes. M4 Provide critical reflection and insight that results in recommended Actions for improvements and future research considerations. Page 7 ● For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data. ● If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing, collect quantitative data. Pros Cons Qualitative ● Flexible – you can often adjust your methods as you go to develop new knowledge. • Can be conducted with small samples. ● Can’t be analyzed statistically or generalized to broader populations. ● Difficult to standardize research. Quantitative ● Can be used to systematically describe large collections of things. ● Generates reproducible knowledge. ● Requires statistical training to analyze data. ● Requires larger samples. You can also take a mixed methods approach, where you use both qualitative and quantitative research methods. ► Primary vs. secondary data: ● Primary data is any original information that you collect for the purposes of answering your research question (e.g. through surveys, observations and experiments). Secondary data is information that has already been collected by other researchers (e.g. in a government census or previous scientific studies). ● If you are exploring a novel research question, you’ll probably need to collect primary data. But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice. Pros Cons Primary ● Can be collected to answer your specific research question. ● You have control over the sampling and measurement methods. ● More expensive and time consuming to collect. ● Requires training in data collection methods. Secondary ● Easier and faster to access. ● No control over how data Page 10 ● You can collect data that spans longer timescales and broader geographical locations. was generated. ● Requires extra processing to make sure it works for your analysis. ► Descriptive vs. experimental data: ● In descriptive research, you collect data about your study subject without intervening. The validity of your research will depend on your sampling method. ● In experimental research, you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design. ● To conduct an experiment, you need to be able to vary your independent variable, precisely measure your dependent variable, and control for confounding variables. If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect. Pros Cons Descriptive ● Allows you to describe your research subject without influencing it. ● Accessible – you can gather more data on a larger scale. ● No control over confounding variables. ● Can’t establish cause and effect relationships. Experimental data ● More control over confounding variables. ● Can establish cause and effect relationships. ● You might influence your research subject in unexpected ways. ● Usually requires more expertise and resources to collect data. 2.2. Methods for analyzing data Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis. Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses. ► Qualitative analysis methods: Page 11 ● Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected: ● From open-ended survey and interview questions, literature reviews, case studies, and other sources that use text rather than numbers. ● Using non-probability sampling methods. ● Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions. ► Quantitative analysis methods: ● Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments). You can use quantitative analysis to interpret data that was collected either: ● During an experiment. ● Using probability sampling methods. ● Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers. 2.3. Difficult of methods research I have difficulty in all of the above methods because each one gives me a headache, how to find research articles related to my research topic, from which I have to analyze and explain my topic. how. Since my topic makes it so useful for research to find and read, it's difficult to include research and explain it properly. The solution to this difficult problem is that I persistently search and read from it to find a lot of research 2.4. Conclusion Although the above methods are very difficult for me, thanks to my efforts and perseverance, I can overcome that difficulty easily. 3. Roles of Literature review in project From the results that I have achieved for my salvation helps me to gain more experience. Help me arrange the research order so that I don't have to waste time in research to avoid wrong methods and pre-conventional research procedures. Give me a lot of experience in researching studies that easily select ideas for my research paper, make it easy for me to analyze the processes, follow the methods to avoid doing this research wrong. Over time, I will develop a mindset for future research without making many mistakes, finding the ultimate purpose for the research paper. 4. Project plan Page 12