LO1:Demonstrate a systematic understanding of the knowledge base and its interrelationship with other fields of study.Demonstrate a current understanding of some specialist areas in depth
2024-06-21 15:06:30
WESTMINSTER BUSINESS SCHOOL
SCHOOL OF ORGANISATIONS, ECONOMY, AND SOCIETY
Module title: Contemporary Issues in Entrepreneurship
Module code: 6ENTP009W
Assessment title: Dissertation
Assessment weighting: 100%
Assessment deadline: 5th March 2024 at 1pm (UK time) Submission method: Online Turnitin Blackboard
Date and form of feedback: 26th March 2024 via Blackboard
Assessment format: Dissertation
Word limit or Length of presentation: 4,000 words (excluding a cover page, an abstract, and a list of references and appendices)
Semester 1 and 2, 2023/2024
ASSESSMENT BRIEFING
The Assessment
The dissertation is designed to assess students’ ability to work independently, conduct research, apply analytical skills, evaluate data in a critical manner, and finally to produce an extended piece of academic work (Learning Outcomes, 1-7).
It also seeks to prove students’ ability to internalise the concept of entrepreneurship both in academic and practical aspects.
Recommended Structure:
1. Cover Page
a) Module name and code
b) Research title
c) Full name
d) Student ID
e) Supervisor ’s name
f) Word Count
g) Date of Submission
2. Abstract (150 to 250 words maximum, excluding the word count) – the abstract should include a brief summary of the dissertation project: research aims and objectives, methodology, key findings/results, and research implications and contributions.
3. Table of Contents
4. Introduction (including research aims and objectives, and research questions)
5. Literature review
6. Research methodology
7. Analysis, findings, and discussion
8. Conclusions, implications of the study, limitations and direction for future research
9. References – all referencing should be in Harvard referencing format
10. Appendices
Unless explicitly indicated otherwise all coursework must be submitted electronically via Blackboard. In addition to the detail given below, further information may be posted onto the Blackboard site for the module.
LEARNING OUTCOMES ADDRESSED:
The learning outcomes required in this assessment are as follows:
1. Demonstrate a systematic understanding of the knowledge base and its interrelationship with other fields of study. Demonstrate a current understanding of some specialist areas in depth. (LO1)
2. Identifies principles and concepts underlying theoretical frameworks and approaches, identifying their strengths and weaknesses. (LO2)
3. Analyse new novel or abstract data using an appropriate range of established subject-specific techniques. Judge the reliability, validity and significance of evidence to support conclusions and/or recommendations. Suggest reasons for contradictory data/results. (LO3)
4. Demonstrates confidence and flexibility in identifying and defining complex problems. Identifies, selects and uses investigation strategies and techniques to undertake a critical analysis, evaluating the outcome. (LO4)
5. Formulate a complex argument within a theoretical and contextual framework with good use of academic writing. (LO5)
6. Acts with minimal supervision or direction within agreed guidelines, taking responsibility for accessing support and accepting accountability for determining and achieving personal outcomes. (LO6)
ASSESSMENT CRITERIA
The assessment criteria and weightings show you what is important in the assessment and how marks are shared across each criterion. When you are completing your assessment remember you need to fulfil the brief and the assessment criteria below.
Dissertation Marking Criterion
|
Weighting
|
Clarity of dissertation, research purpose and objectives, research questions
|
15%
|
Critical understanding of relevant theory and review (i.e. literature review)
|
20%
|
Clear and justified research methodology and approval of ethics form
|
20%
|
Quality of data, validity, and credibility of the analysis and discussion
|
25%
|
Conclusions, implications, limitations, and future study
|
10%
|
Use of the appropriate structure, writing and presentation, and referencing
|
10%
|
The University has arrangements for marking, internal moderation, and external scrutiny. Further information can be found in Section 12 of the Handbook of Academic Regulations, westminster.ac.uk/study/current- students/resources/academic-regulations
ANONYMOUS MARKING
There is no anonymous marking for this module. The submissions are not subject to anonymous marking due to the personal nature of the assessments. As this module involves supervised group work and individual reports, it is exempt from anonymous marking.
REFERENCING REQUIREMENTS FOR THE ASSESSMENT
Statements, assertions, and ideas made in coursework should be supported by citing relevant sources. Sources cited in the text should be listed at the end of the assignment in a reference list. Any material that you read but do not cite in the report should go into a separate bibliography. Unless explicitly stated otherwise by the module teaching team, all referencing should be in Cite Them Right referencing format. If you are not sure about this, the library provides guidance (available via the library website pages): https://libguides.westminster.ac.uk/referencing
Demonstrate a systematic understanding of the knowledge base and its interrelationship with other fields of study. Demonstrate a current understanding of some specialist areas in depth
THE DEADLINE AND SUBMITTING YOUR COURSEWORK - CHECKS
Unless indicated otherwise, coursework is submitted via Blackboard.
The deadline for this assessment is 26th March 2024 at 13:00 UK time. This means that your work should be fully uploaded before 13:00. The University would treat your submission as late if your work has not been fully uploaded and stored on the server before 13:00. In order to avoid your submission being marked as late, you should upload your work as soon as possible before the deadline and must not wait until or just before the deadline to start uploading your work.
At busy times the coursework submission process may run slowly. To ensure that your submission is not recorded as a late submission, avoid submitting very close to the deadline.
To submit your assignment:
1. Log on to Blackboard at http://learning.westminster.ac.uk;
2. Go to the Blackboard site for this module.
3. Click on the ‘Assessment and Submission Link’ area for the module.
4. Click on the link via the Assessment folder – ‘Submit Coursework’, Dissertation Submission Link, for the assignment to submit.
5. Follow the instructions, ensuring that you have selected the correct file to upload.
PENALTIES FOR LATE SUBMISSION AND ADVICE ABOUT MITIGATING CIRCUMSTANCES
Any assessment submitted late online will be penalised unless you submit a claim for Mitigating Circumstances (MC) and the claim is accepted by the Registry. Check this page for more information about mitigating circumstances: https://www.westminster.ac.uk/current- students/guides-and-policies/assessment-guidelines/mitigating-circumstances-claims
If you do not submit an MC claim or if your MC claim is rejected, then your work will be penalised. If you submit your assessment late but within 24 hours or one ‘working’ day of the specified deadline, 10% of the overall marks available for that assessment will be deducted as a penalty for late submission, except for work which is marked in the marginal pass rate range 40-49%. In this case the mark will be capped at the pass mark 40%.If you submit your coursework more than 24 hours late after the specified deadline you will be given a mark of zero for the work in question unless the Mitigating Circumstances claim has been accepted officially by the Registry.
DIFFICULTIES IN SUBMITTING ASSIGNMENTS ON TIME
If you are having technical difficulties with submission, please email the module leader
Dr Nattida Srisaracam on N.Srisaracam@westminster.ac.uk and ask for advice.
If you have difficulties for reasons beyond your control (e.g., serious illness, family problems etc.) that prevent you from submitting the assessment, make sure you apply to the Mitigating Circumstances board with evidence to support your claim as soon as possible. Further details can be found on the following URL: https://www.westminster.ac.uk/current-students/guides-and-policies/assessment- guidelines/mitigating-circumstances-claims
If you do not submit the coursework on time log a call via the IT Service Desk that can be found on this webpage: https://servicedesk.westminster.ac.uk/support/home
Please make sure that your message is very specific. The Service Desk will then email you confirmation that you will be able to use as supporting written evidence for your MC claim. You should take screenshots or make short videos that capture the issue, such as the error messages on the screen, as you may use them as supporting written evidence for your MC claim.
ACADEMIC SUPPORT & FEEDBACK ARRANGEMENTS
For this assessment, there will be an opportunity for an academic support & feedback drop-in session, where you will receive support and feedback on your assessment prior to submission. Further details are provided in the module handbook. There will also be opportunities to receive academic support during lectures through allocated question-and-answer sessions and through the discussion board on the module blackboard site.
After submission, summative feedback will be provided online via Blackboard, where feedback takes the form of an indication of performance on the provided making grid. You will also receive a number of key points of strength, weakness, and academic skills you can improve upon. We aim to provide you this feedback within 15 working days and after the feedback has been released online there will also be an opportunity to meet with a marker for oral feedback, if needed. [Feedback return on 26th March 2024]. If you are unsure about how to see your provisional marks and feedback, the following LINK will explain how you can do this - https://blog.westminster.ac.uk/blackboardhelp/marks-and-feedback/
General feedback for the entire module will also be made via Blackboard to the module, which will discuss the key areas of shared strengths, weaknesses, and academic skills improvements. This general feedback is likely to be issued before your specific summative feedback and we would strongly encourage you to read this feedback to improve your understanding of the module and potential areas of weaknesses in your academic skills which you could develop before your next submission within your course.
ACADEMIC INTEGRITY
What you submit for assessment must be your own current work. It will automatically be scanned through a text matching system to check for possible plagiarism.
Do not reuse material from other assessments that you may have completed on other modules. Collusion with other students (except when working in groups), recycling previous assignments (unless this is explicitly allowed by the module leader) and/or plagiarism (copying) of other sources all are offences and are dealt with accordingly. If you are not sure about this, then speak to your class leader.
University of Westminster Quality & Standards statement
Plagiarism is a particular form of cheating. Plagiarism must be avoided at all costs and students who break the rules, however innocently, will be penalized. It is your responsibility to ensure that you understand correct referencing practices. As a university-level student, you are expected to use appropriate references and keep carefully detailed notes of all your sources of material, including any material downloaded from the www.
Plagiarism is defined as submission for assessment of material (written, visual or oral) originally produced by another person or persons, without acknowledgement, in such a way that the work could be assumed to be your own. Plagiarism may involve the unattributed use of another person’s work, ideas, opinions, theory, facts, statistics, graphs, models, paintings, performance, computer code, drawings, quotations of another person’s actual spoken or written words, or paraphrases of another person’s spoken or written words.
Plagiarism covers both direct copying and copying or paraphrasing with only minor adjustments:
- A direct quotation from a text must be indicated by the use of quotation marks (or an indented paragraph in italics for a substantive section) and the source of the quote (title, author, page number and date of publication) provided.
- A paraphrased summary must be indicated by attribution of the author, date and source of the material including page numbers for the section(s) which have been summarized.
Generative AI in Your Studies
Rapidly advancing AI technologies, notably in language and image generation, necessitate clarity on the University’s stance towards tools like ChatGPT and DALL-E. The University insists on original work from students, requiring independent thought and proper source citation. Outsourcing assignments to machines or third parties constitutes cheating, undermines critical thinking skills, hinders student development, and diminishes their potential contributions in both the academic and professional world.
LO2:Identifies principles and concepts underlying theoretical frameworks and approaches, identifying their strengths and weaknesses.
The University recognises that students may legitimately use GenAI in a number of ways including for example: Assisting with grammar and spelling, utilizing it as a search tool for researching assignment topics, helping with planning, and developing the outline structure of a written assessment, generating ideas for graphics, images, and visuals, obtaining explanations of concepts, debugging code, overcoming writer’s block. These specific applications of GenAI can support students in their academic endeavours. However, it’s important to note that while these uses are permissible, students must still adhere to the principles of academic integrity and properly cite any sources or references derived from the assistance provided by GenAI. Please see the link below for more details on this
https://www.westminster.ac.uk/sites/default/public-files/general-documents/GenAI- guidance-for-students.pdf
Please note that some subject areas/specific taught modules will potentially have other legitimate ways for you to use GenAI and that details of this will be communicated to you by module leaders where necessary.
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