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MAN-40411 Business Technology and AI Assessment Brief 2025/26 | Keele University

Published: 07 Nov, 2025
Category Assignment Subject Business
University Keele University Module Title MAN-40411 Business Technology and AI

MAN-40411 Assessment Brief 2025-26

Module Title Business Technology and AI
Module Code MAN-40411
Assessment Type Presentation
Assessment Title Group Project – Video Presentation (15 mins)
Weighting (% of module mark) 50% (Mid Term)

Assessment Length (word count or equivalent)

The presentation should last 15 minutes, recorded in a group
Submission Deadline (date and time) 14 Nov, 2025 1 pm
Format of Submission Power Point Presentation
Type of GenAI Use Permitted in Assessment Yes

Feedback Release Date

[please ensure that this aligns with the

requirements of Section 3 of the Assessment and Feedback Code of Practice.

21/11/2025

Assessment Details:

Collaborate in self-assigned groups (3, 5, or 7 students, depending on cohort size) to propose a technology-driven solution for a tutor-provided business case. Each group will deliver their proposal via a recorded 15-minute group video presentation.

Module Learning Outcomes:

In this assessment, the following module learning outcomes will be assessed:

ILO1: Analyse how enterprise systems integrate across business functions to optimise operational workflows and decision-making.
ILO2: Design data-capture workflows using automatic identification technologies to improve accuracy in inventory and logistics
management.
ILO 3: Apply predictive analytics and automation techniques to streamline business processes and support data-driven decision-making.
ILO4: Critique the ethical, strategic, societal, and sustainability implications of deploying intelligent systems in modern business environments.

Presentation topics:

  • Case study – Wright Rubber - a family business based in Burton-on-Trent, has invested in a state-of-the-art CNC digital cutting machine – its biggest single investment to date – to boost productivity, accuracy, and profitability.
  • Case study – Tom Pearson s Sons Ltd - generation family business-based in Holmesfield, established in 1G08
  • Case study - Rivelin Robotics – provides a faster, cheaper, and safer approach to finishing 3D-printed components
  • Case study - Arden Dies - Stockport-based business manufactures cutting, embossing, and foiling tools
  • Case study - Intellium AI - innovative AI tool transforms manufacturing workforce into citizen data scientists to achieve productivity and sustainability gains
  • Case study - BAE Systems s Machine Intelligence - a software start-up provides AI-driven vision inspection tool with the potential to transform productivity, net zero and resilience in manufacturing
  • Case study - HAL Robotics - provides an innovative self-learning robotic solution to reduce the barriers to adopting automation for finishing tasks
  • Case study - DM² - provides an innovative digital approaches to accelerate the development, production and supply of pharmaceuticals using novel data-driven technologies.

Assessment Criteria:

  • Topic relevance and core subject focus (20%)
  • Application of theory and concepts (25%)
  • Critical thinking and analytical Depth (25%)
  • Structure, clarity, and delivery (15%)
  • Originality and critical reflection (10%)
  • Use of sources and referencing (5%)

Feedback to Students:

The students will be provided the detailed feedback on 21 Nov, 2025 in addition to the scoring.

Inclusive Practice:

In case student may have difficulty in giving presentation, please write to Disability Tutor (Dr Xihui Chen - x.chen@keele.ac.uk) for a suitable approach

Use of Artificial Intelligence (AI):

All students can use assistive AI tools to check spelling, grammar and punctuation (i.e., use of in-built spell checkers) in all written assessments excluding examinations and class tests, unless advised otherwise.

Academic Misconduct:

Academic misconduct is doing something that could give you an unfair advantage in an assessment. It includes, but is not limited to, the following: plagiarism; collusion; contract cheating; cheating in an examination; falsification of data or sources; falsification of official documents or signatures. The University treats academic misconduct very seriously and penalties will be given for proven cases, including termination of studies in serious cases. It is therefore very important that you understand how to prepare and take assessments honestly. In order to assist you with this there are various resources and help available both as part of your programme of study and also centrally.

Academic Skills Support:

The Academic and Digital Skills team provide a range of additional online resources (e.g., study guides, Sways, Podcasts, workshops etc) to help you with your academic work and assessments. You can find more information here.

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