B6AF117 /B6AF112 Assignment Brief
| Module Title: | Economics Perspectives |
| Module Code: | B6AF117 /B6AF112 |
| Programme/Cohort: | BA (Hons) Various |
| Method of Assessment: | Individual Report (2000-2500 words) |
| Percentage (%) Weighting: | 20% |
| MIMLOs being assessed: | 1-4 |
| Assessment Number: | 2 |
| Individual/Group: | Individual |
| Issue Date: | May 1st 2026 |
| Submission Date: | June 26th 2026 |
| Feedback Date: | July 2026 |
| Feedback Strategy: | Moodle |
Assignment Task
Using the Keynesian identity framework,
AD = C + I + G + (X – M)
Compare and contrast the current (2025/2026) and likely evolution of Gross
Domestic Product (GDP) in the coming years of a country of your choice (and compare and contrast with Ireland). Focus on specific components is encouraged as discussed in class.
Generative Artificial Intelligence Assessment Scale
Can generative AI be utilised in this assignment?
| 1 | 2 | 3 | 4 | 5 |
| NO AI | AI-ASSISTED IDEA
GENERATION AND STRUCTURING |
AI-ASSISTED
EDITING |
AI TASK COMPLETION,
HUMAN EVALUATION |
FULL AI |
| The assessment is completed entirely without AI assistance. This level ensures that students rely solely on their knowledge,
understanding, and skills. AI must not be used at any point during the assessment. |
AI can be used in the assessment for brainstorming, creating structures, and generating ideas for improving work.
No AI content is allowed in the final submission. |
AI can be used to make improvements to the clarity or quality of student created work to improve the final output, but no new content can be created using AI.
AI can be used, but your original work with no AI content must be provided in an appendix. |
AI is used to complete certain elements of the task, with students providing discussion or commentary on the AI-generated content. This level requires critical engagement with AI generated content and evaluating its output.
You will use AI to complete specified tasks in your assessment. Any AI created content must be cited. |
AI should be used as a ‘co-pilot’ in order to meet the requirements of the assessment, allowing for a collaborative approach with AI and enhancing creativity.
You may use AI throughout your assessment to support your own work and do not have to specify which content is AI generated |
Grading Criteria
| Bands | Description |
| 90-100 | Exceptional: Far exceeds the threshold of the assessment rubric in all of the categories. The standard consistently far exceeds what would be expected at this NFQ level. |
| 80-89 | Outstanding: Achieves all the minimum learning outcomes. Exceeds the threshold of the assessment rubric in all of the categories. The standard consistently exceeds what would be expected at this NFQ level. |
| 70-79 | Excellent: Exceeds the threshold of the assessment rubric in most of the categories. The standard is much better than what would be expected at this NFQ level. |
| 60-69 | Very Good: Meets the threshold of the assessment rubric in most of the categories and exceeds in some. The standard is better than what would be expected at this NFQ level. |
| 50-59 | Good: Meets the threshold of the assessment rubric in some of the categories of the assessment rubric. The standard is what would be expected at this NFQ level. |
| 40-49 | Sufficient: Achieves all the minimum learning outcomes. Meets the threshold of the assessment rubric in a few of the categories. The standard is what is expected at this NFQ level. |
| 30-39 | Somewhat fulfilled: Achieves some but not all of the minimum learning outcomes. Meets the threshold of the assessment rubric in some or a few of the categories. The standard is below what is expected at this NFQ level. |
| 20-29 | Limited fulfilment: Achieves a few of the minimum learning outcomes. Meets the threshold of the assessment rubric in only a few of the categories. The standard is well below what is expected at this NFQ level. |
| 0- 19 | Unfulfilled: Does not achieve any of the minimum learning outcomes. Meets the threshold of the assessment rubric in none of the categories. The standard is considerably less than what is expected at this NFQ level. |
General Requirements for Students
- All assignments must be submitted no later than the stated deadline (date and time).
- Assignments submitted after the latest deadline specified (including any approved extension deadline) are considered late and penalised according to the Quality Assurance Handbook (QAH) Part B Section 5.2.2.6 as follows:
a. A penalty of 2 marks will be applied per day or part thereof (including weekends and public holidays) for an ongoing failure to submit beyond the submission deadline.
b. An examiner has the right to refuse to mark the assignment if the submission instructions have not been observed.
c. Where a late assessment is submitted within 14 days of the deadline, and is of a passing standard, the late penalty is capped (such that the minimum grade that can be awarded is 40% for the late submission).
d. Where a late assessment is submitted more than 14 days after the deadline, it will receive 0%. The lecturer may, at their discretion, review the submission for feedback.
e. Where the assessment is undertaken in a group, the piece of work should be submitted in its complete entirety, and any penalty for late submission incurred applies to all group members.
- Extensions to assignment submission deadlines will not be granted, other than in exceptional circumstances. To apply for an extension please go to https://students.dbs.ie/dashboard/SCCM and open a ticket.
- All relevant provisions of the Assessment Regulations must be complied with (see QAH B.5).
a. Students are required to refer to the assessment regulations in their Programme Handbook, and on the Student Website.
b. Dublin Business School penalises students who engage in academic impropriety (i.e. plagiarism, collusion and/or copying, ghost writing/ essay mills, improper use of Generative Artificial Intelligence software).
i. Refer to the College’s Generative AI Guidelines HERE for further information.c. Guides on referencing are available on the Library website: https://libguides.dbs.ie/referencing
d. Text-matching analysis software is integrated in Moodle to generate a report regarding the degree of text-matching in a submission.
- Students are required to retain a copy of each assignment submitted, until the issuing of a transcript indicating the mark awarded and the closure of the Appeal period (2 weeks following the release of final results).
a. Results can only be appealed following the release of final results, and the Appeal form must be submitted to the Exams Office within the Appeal period.
b. An appeal must be based on valid grounds (see the Appeals Policy QAH B.3.5), dissatisfaction with a grade is not sufficient grounds for an appeal.
c. Assignments must be appropriately packaged and presented.
d. All assignments should be submitted to your subject/course page on Moodle by the deadline date.
e. Where a submission involves digital media (i.e formats other than Word, Powerpoint or PDF), it is the submitting students’ responsibility to ensure the media is appropriately labelled, fully working and they must retain a copy.
f. Components of an assessment which are not included in the final submission cannot normally be subsequently accepted for grading. It is the student’s responsibility to ensure their file is uploaded correctly.
g. Include an electronic cover sheet with the following details to the front of the assignment (see below)
- Assignments that breach the word count requirements will be penalised. There is a 10% discretion, either way, applicable in terms of word count.
- When you submit your assignment you will be asked to click on a button which will declare the following:
By ticking this box I am confirming that this assignment/exam is all my own work. Any sources used have been referenced.
I have read the College rules regarding plagiarism in the QAH Part B Section 3 and understand that penalties will be applied accordingly if work is found not to be my own. All work uploaded is submitted via Ouriginal, whereby a text-matching report will show any similarities with other texts.