Preparing a Literature Review TECH8000 Assessment
- Subject Code :
TECH8000
- University :
Kaplan Business School Exam Question Bank is not sponsored or endorsed by this college or university.
- Country :
Nigeria
Assessment 2 Information
Subject Code: |
TECH8000 |
Subject Name: |
IT Capstone |
Assessment Title: |
Preparing a Literature Review |
Assessment Type: |
Literature Review |
Word Count: |
2000 Words (+/-10%) |
Weighting: |
30 % |
Total Marks: |
30 |
Submission: |
Via MyKBS |
Due Date: |
Week 8 |
Your Task
This assessment is to be completed individually. This assessment requires you to prepare a detailed literature review on an identified problem and provide an outline of the recommended research approach. The goal is to demonstrate your ability to critically analyse existing literature, identify gaps, and propose a methodical approach for further research.
Please note: You will be required to use the same case study and the identified research problem for all three assessments in this subject.
Assessment Description
For this assessment, you are required to conduct a comprehensive literature review on a specific problem within your field of study. Additionally, you must develop a detailed research outline addressing this problem. The task involves summarizing key findings from at least 7 academic sources, critically analysing the literature to identify gaps, and proposing a research approach to address these gaps. Your literature review should be based on the word count indicated above and include clearly stated research objectives, questions or hypotheses, methodology, data collection and analysis techniques, and expected outcomes. This assessment aims to demonstrate your ability to critically engage with existing research and formulate a coherent, methodologically sound research plan. Ensure your work is well-organized, properly cited in any acceptable referencing style and submitted through the MyKBS platform.
This assessment aims to achieve the following subject learning outcomes:
LO1 |
Design a plan for research that aims to identify the causes and potential solutions of a complex IT problem for a client. |
LO3 |
Recommend and critically analyse multi-disciplinary IT solutions. |
Assessment Instructions
Students must conduct scholarly research and include appropriate references. You should use at least seven (7) sources of information and reference these in accordance with any acceptable referencing style. These may include a combination of textbooks, websites, social media platforms, industry reports, census data, journal articles, conference proceedings and newspaper articles. These references should be presented as in-text citations and a referencing list at the end of your assessment in the form of Bibliography (not included in the word limit). Avoid using Wikipedia and other similar sites. Ensure that you use only articles published within the past seven years. You must submit your report in Word document or in PDF format. The report should be well-structured and organised. It should include the following details:
- Introducing the Problem: Begin by clearly stating the IT problem faced by the company indicated in the case Provide a concise overview of the problem and its significance for the company. Explain why it is crucial to identify the causes and potential solutions for this problem. Conduct scholarly research to gather additional insights into similar IT challenges faced by other companies in the industry.
- Literature Review: Conduct an extensive review of academic sources related to your chosen problem. Summarize key findings from at least 7 credible sources, including journal articles, books, and conference papers, as indicated above. Critically analyze the literature to highlight gaps, inconsistencies, and areas needing further research. Organize your review coherently and
- Research Outline: Develop a structured research outline that addresses the gaps identified in the literature review.
Include:
- Research Objectives: Clearly state what your research aims to
- Research Questions or Hypotheses: Formulate specific questions or
- Methodology: Identify the research methods (qualitative, quantitative, or mixed) and justify your choices.
- Data Collection: Outline the techniques you will use to collect data (e.g., surveys, interviews).
- Data Analysis: Explain how you will analyse the collected
- Expected Outcomes: Discuss the potential results and their
- Formatting: The literature review should be between 1800-2200 Use APA, Harvard or any standard referencing style for citations and bibliography. Submit your completed assessment through the MyKBS platform by Week 8.
- Marking Guideline: Please refer to the assessment marking guide for assistance in completing all the assessment criteria.
Important Study Information
Academic Integrity Policy
KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.
What is academic integrity and misconduct? What are the penalties for academic misconduct? What are the late penalties?
How can I appeal my grade?
Click here for answers to these questions: http://www.kbs.edu.au/current-students/student-policies/.
Word Limits for Written Assessments
Submissions that exceed the word limit by more than 10% will cease to be marked from the point at which that limit is exceeded.
Study Assistance
Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Click here for this information.
Generative AI Traffic Lights
Please see the level of Generative AI that this assessment has been designed to accept:
Traffic Light |
Amount of Generative Artificial Intelligence (GenerativeAI) usage |
Evidence Required |
This assessment (?) |
Level 1 |
Prohibited: No GenerativeAI allowed This assessment showcases your individual knowledge, skills and/or personal experiences in the absence of Generative AI support. |
The use of generative AI is prohibited for this assessment and may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. |
|
Level 2 |
Optional: You may use GenerativeAI for research and content generation that is appropriately referenced. See assessment instructions for details This assessment allows you to engage with Generative AI as a means of expanding your understanding, creativity, and idea generation in the research phase of your assessment and to produce content that enhances your assessment. I.e., images. You do not have to use it. |
The use of GenAI is optional for this assessment. Your collaboration with GenerativeAI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference GenerativeAI. https://library.kaplan.edu.au/referencing-other- sources/referencing-other-sources-generative-ai In addition, you must include an appendix that documents your GenerativeAI collaboration including all prompts and responses used for the assessment. Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific assessment instructions in the section above. |
? |
Level 3 |
Compulsory: You must use GenerativeAI to complete your assessment See assessment instruction for details This assessment fully integrates Generative AI, allowing you to harness the technology's full potential in collaboration with your own expertise. Always check your assessment instructions carefully as there may still be limitations on what constitutes acceptable use, and these may be specific to each assessment. |
You will be taught how to use generative AI and assessed on its use. Your collaboration with GenerativeAI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference GenerativeAI. https://library.kaplan.edu.au/referencing-other- sources/referencing-other-sources-generative-ai In addition, you must include an appendix that documents your GenerativeAI collaboration including all prompts and responses used for the assessment. Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific assessment instructions in the section above. |
Assessment Marking Guide
Marking Criteria | 30 marks |
F (Fail) 0 49% |
P (Pass) 50 64% |
C (Credit) 65 74% |
D (Distinction) 75 84% |
HD (High Distinction) 85 100% |
Introduction of the Problem
| 5 marks |
The introduction and problem statement are either inadequate or missing, resulting in a lack of context and clarity for the reader. |
Introduction and problem statement are present but lack clarity and conciseness. The story line is weak. |
Introduction and problem statement are clear and provide an overview of the IT problem's significance. |
Introduction and problem statement are well-crafted and effectively highlight the significance of the IT problem. |
Introduction and problem statement are exceptionally well-crafted, capturing the full significance and impact of the IT problem. |
Literature Review
| 10 marks |
The review is superficial with limited sources, lacking depth and breadth. |
The review covers some relevant sources but is not comprehensive. |
The review covers most relevant sources and provides a good level of detail. |
The review covers strong critical analysis and synthesis, showing clear connections between sources. |
The review contains comprehensive identification and explanation of all relevant research gaps. |
Research Outline
| 10 marks |
Research questions or hypotheses are not stated or are irrelevant. Methodology is unclear or inappropriate for the research objectives. |
Research questions or hypotheses are clear but may lack depth or specificity. Methodology is clear and appropriate with some justification. Data collection techniques are mentioned but lack detail or relevance. |
Research questions or hypotheses are clear, specific, and relevant. Methodology is clear and appropriate with some justification. Data collection techniques are clear, relevant, and well- detailed. Data analysis methods are mentioned but lacks detail or justification. |
Research questions or hypotheses are clear, specific, and relevant. Methodology is exceptionally well- described, highly appropriate, and thoroughly justified, demonstrating a strong understanding of research methods. Expected outcomes are clear and relevant but may lack detail. |
Research questions or hypotheses are exceptionally clear, specific, relevant, and demonstrate deep insight into the research problem. Methodology is exceptionally well- described, highly appropriate, and thoroughly justified, demonstrating a strong understanding of research methods. Expected outcomes are exceptionally clear, highly relevant, and well- detailed, demonstrating a deep understanding of the potential impact of the research. |
