This assessment is to be completed and submitted INDIVIDUALLY.
This assessment is worth 40% of your total mark.

This individualised assessment takes an innovative approach by embracing generative AI tools, challenging you to synergise academic theories, lecturer content, and AI-generated insights in exploring lean project management concepts.

You will be given a case study scenario in which you are required to identify, analyse and explain lean project management concepts and project management practices that were taught through Weeks 1 - 5. You are expected to write a reply to a number of questions explaining in detail various project management best practices that were used to achieve the outcome described in the case scenario. Your understanding of the application of LEAN concepts and AGILE best practices will be tested in this assessment.
Your ability to provide coherent and relevant answers to the questions as per the marking criteria will be evaluated. These criteria support the achievement of the Unit Learning Outcomes stated in the assessment specification document.
It is crucial that you demonstrate critical reflection in linking theory to the case study.
All work must be properly referenced (Harvard Referencing style).
Word count is between 2000 and 2500 words for the total of the various parts of the assessment. 

Guidelines for AI Integration (detailed guidelines available in your Moodle Assessment 1 tab):

• Explicit Acknowledgment of AI Use:
  Clearly state where generative AI was employed in generating content for the assessment. Include the prompt used for AI analysis as a part of your submission. For instance, a section titled "AI Contributions" can precede each question, outlining the prompts and AI tools utilized. An example is provided below:
• AI Contributions:
  Example: For the explanation of Lean Approaches within the lean transformation framework, AI was employed to generate insights into the key principles and strategies. The prompt used was: "elaborate on the fundamental lean approaches in project management, emphasising their role in achieving operational excellence." According to ChatGPT, lean approaches involve "minimizing waste, optimizing processes, and fostering continuous improvement" (ChatGPT, Used prompt: Explain Lean Approaches).
• AI-Generated Content (Reference to the AI used):
  For example, According to ChatGPT, lean approaches involve "minimizing waste, optimizing processes, and fostering continuous improvement" (ChatGPT, Used prompt: Explain Lean Approaches).
• Link to Lecture Slides (Reference to Lecture Materials):
  Example: The definition of lean approaches generated by ChatGPT aligns seamlessly with the content discussed in Lecture 6, specifically Slide 21, which emphasises the significance of minimising waste in project processes. The lecture underscored the importance of continuous improvement by removing 8 types of waste from different processes (Lecture 6, Slide 13).
• Ethical Considerations:
  Example: To validate the insights provided by AI on Lean Approaches, I cross-referenced the generated content with reputable literature on lean methodologies (Smith et al., 2022). This external source confirmed the relevance and accuracy of the identified lean principles, adding credibility to our analysis.
• Connected the Findings to the Given Case Study:
  Example: In the case study context, section 2, page 5, ChatGPT was employed to generate insights into the application of lean approaches. ChatGPT highlighted the importance of waste reduction and process optimization, aligning with the case study where these principles contributed to project efficiency. This connection was reinforced by referring to the lecture material, specifically Slide 5, Lecture 2, emphasising the significance of lean approaches in achieving project objectives.
• Proper Referencing (Harvard Style):
  Ensure that both the AI-generated content and your original contributions are properly referenced in Harvard style. Distinguish between AI-generated and personal content to maintain academic integrity.

Please refer to the Assessment 1 document available in your Moodle Assessment 1 tab for complete instructions and requirements of this assessment.

Assessment Due Date: Monday of the Mid-Term Break

• The student displays an understanding of a research paradigm and evidences competence in scholarly writing
• The student displays an understanding of the Lean transformation framework and demonstrates the ability to apply the concepts to the context of the case study
• The student relates the wastes of Lean to different PM methodologies and applies the concepts to the case study
• The student displays an understanding of teamwork as a pillar of the House of Lean and applies the concepts to the context of the case study
• The student demonstrates critical reflection and derives meaningful learning from this exercise
• The student displays competence in summarising findings and learning
• The student demonstrates ethical considerations in the use of AI, including Ethical AI Acknowledgment, Cross-Verification for Accuracy and Responsible Referencing

Please check the unit Moodle page for further details.

Group & Individual submissions
This assessment is worth 40% of your total mark.

This assignment includes 2 parts:

1. Assessment 2A, 30 marks (Group): Case study analysis due by Friday of week 11
2. Assessment 2B, 10 marks (Individual): Recorded Presentation, due by the Friday of week 12

Task Description 

Assessment 2A (Group): Case study analysis

This assessment is to be done in GROUPS of 3-4 members. Groups have to be formed by Week 5 in discussion with your tutor and all groups will be issued a unique group identifier. Individual submissions will not be marked unless with prior approval by the Unit Coordinator.
Distance mode (DST) students will also have to form into similar groups. Individual submission can be allowed to DST students by applying in writing to the Unit Coordinator by Week 6.
You will be given a case scenario and you are required to analyse the case and apply all your knowledge gained from Lectures 1 - 10 to structure your answers for each of the questions. This assessment will test your ability to propose and discuss solutions in a cohesive manner that will resolve the issues that are highlighted in the case scenario. It is crucial that you demonstrate critical reflection in linking theory to the case study.
All work must be properly referenced (Harvard Referencing style)
Word count between 2500 and 3000 words
Please refer to the Assessment 2 specification document available in your Moodle Assessment 2 tab for complete instructions and requirements of this assessment.

Assessment 2 is due in week 11.

Guidelines for AI Integration (detailed guidelines available in your Moodle Assessment 2A tab):

• Explicit Acknowledgment of AI Use: 
  Clearly state where generative AI was employed in generating content for the assessment. Include the prompt used for AI analysis as a part of your submission. For instance, a section titled "AI Contributions" can precede each question, outlining the prompts and AI tools utilized. An example is provided below:
• AI Contributions:
  Example: For Question 1 on Leadership Competencies, the group employed AI to generate initial insights, focusing on identifying key leadership traits. The prompt used was: "Utilise AI to outline the fundamental leadership competencies crucial for successful project delivery in the given case scenario." According to ChatGPT, leadership competencies are defined as "exemplifying visionary thinking, fostering effective communication, and exhibiting adaptability in complex project environments" (ChatGPT, Used prompt: Explain Leadership Competencies).
• AI-Generated Content (Reference to ChatGPT/or any other AI used):
  Example: According to ChatGPT, leadership competencies are defined as "exemplifying visionary thinking, fostering effective communication, and exhibiting adaptability in complex project environments" (ChatGPT, Used prompt: Explain Leadership Competencies).
• Link to Lecture Slides (Reference to Lecture Material):
  Example: The definition of Leadership Competencies generated by ChatGPT aligns seamlessly with the content discussed in Lecture 7, specifically Slide 12, which emphasises the significance of these competencies in project management. The lecture underscored the importance of visionary thinking for setting project goals, effective communication for team cohesion, and adaptability for navigating dynamic project landscapes (Lecture 7, Slide 12).
• Ethical Considerations:
  Example: To ensure the accuracy of the AI-generated information (which was not available in lecture slides), I went beyond internal references and cross-verified the definitions by referencing an external article from a reputable project management journal (Johnson et al., 2021). This external source affirmed the validity of the identified leadership competencies and added a layer of credibility to our analysis.
• Connected the Findings to the Given Case Study:
  Example: In the given case study, I employed ChatGPT to generate insights into the lean project management concepts applied (include the prompt used). ChatGPT highlighted the significance of real-time collaboration tools, identifying them as a critical factor in enhancing team communication and efficiency within the project environment (ChatGPT, Section on Collaboration Tools). This AI-generated insight aligns seamlessly with the case study, where we observed the implementation of advanced collaboration platforms. For instance, the case study referenced the adoption of a cloud-based project management system, promoting real-time communication and document sharing among team members. Connecting this finding to the lecture material, specifically referencing Slide 8, Lecture 4, our analysis concurs with the emphasis on the importance of effective communication tools in lean project management. The lecture highlighted how streamlined communication contributes to the elimination of wasteful processes, a fundamental aspect of lean methodologies.
• Proper Referencing (Harvard Style): 
  Ensure that both the AI-generated content and your original contributions are properly referenced in Harvard style. Distinguish between AI-generated and personal content to maintain academic integrity.

Please refer to the Assessment 2 document available in your Moodle Assessment 2A tab for complete instructions and requirements of this assessment.

Assessment 2B (Individual): Recorded Presentation

Assessment 2B aims to assess your individual comprehension of the group submission for Assessment 2A and your ability to articulate your contribution to this assignment. You are required to create and record a 10-minute oral presentation, submitting a YouTube link of the recording to the Workshop platform on Moodle. Please adhere to the recording instructions provided below. The presentation should showcase your comprehensive understanding of your learning from Assessment 2A, encompassing the following components:

• Your Contribution and Role in the Group:
  Provide a concise and clear statement regarding your specific role within the group for Assessment 2A.
  Articulate your contribution to the group project, highlighting key responsibilities and tasks you undertook.
  Offer insights into how your individual efforts complemented the overall group objective and the successful completion of Assessment 2A.

• Examine Leadership Competencies for Successful Project Delivery:
  Showcase your understanding of leadership competencies as examined in Assessment 2A, specifically focusing on traits crucial for the successful delivery of projects.
  Discuss the insights gained from AI-generated content and how they align with leadership competencies discussed in the group submission.
  
  Recording instructions:
  1. The recorded presentation must show both your face and the presented slides.
  2. You must use Zoom or a similar app to record your presentation and save the recording to your computer.
  3. Upload the recording to YouTube by selecting the “unlisted” option for privacy.
  4. It is your responsibility to ensure that the shared link of your video is working before submission.
  5. Ensure that the recording is of sufficient quality for the assessor to clearly understand and evaluate the presentation.
  6. Ensure that your presentation is well-prepared, with clear and concise content, and that you address all the components of the assessment.

Assessment 2A (Group - 30 marks): Case study analysis

• The students demonstrate an understanding of leadership styles and display the ability to apply the theories to the case study
• The students demonstrate an understanding of various aspects of PM competency and display the ability to apply the theories to the case study
• The students demonstrate an understanding of agile self-directed teams and their impact on centralised management control
• The students demonstrate an understanding of elements of project risk management and display the ability to identify risks and formulate responses
• The students display self reflection and identify areas for improvement
• The students demonstrate ethical considerations in the use of AI, including Ethical AI Acknowledgment, Cross-Verification for Accuracy and Responsible Referencing

Assessment 2B Recorded Presentation (10 marks) 

• Content knowledge (4 marks): Thorough coverage of main components, sound knowledge and understanding of the initial research stages.
• Organisation & structure (2 marks): well-organised material, logical content ordering, and coherent structure.
• Professionalism & Presentation Skills (2 marks): effective communication and use of body language & eye contact, use of visual aids, engaging the audience with a confident and professional presence, and time management.
• Relevance to Unit Material (2 marks): the content and reflection align with the learnt concepts and show genuine engagement with the unit & integration of the knowledge gained in class

The quiz will only be conducted in-class during the scheduled tutorial classes for on-campus students. A separate Zoom session will be scheduled for online students. This assessment is worth 20% of your total mark.

This assessment item involves an Invigilated quiz during your tutorial classes in Week 12 for on-campus students. A separate Zoom session will be scheduled for Distance/Online students.
Students will be required to answer a set of questions related to all the learning outcomes of this unit. The quiz will be based on the knowledge gained throughout the first 11 weeks. It is necessary for students to complete all learning activities prescribed in this unit to gain the knowledge to successfully complete the quiz.

• Only one attempt is allowed.
• The quiz is a closed-book and in-class test during tutorial classes in Week 12.
• The quiz must be completed within the given timeframe.
• There will be 40 questions (a combination of multiple-choice and true/false questions).
• There will be a time limit of 50 minutes to complete the quiz. Your quiz will automatically be submitted after 50 minutes.
• The quiz covers the content from Weeks 1 to 11 (lectures, tutorials, readings, etc.).
• Questions will be drawn from a pool of 450 questions. When you attempt the quiz, 40 questions will be randomly selected and displayed. It is very unlikely that two students will see the same questions.

Each question carries equal marks, and there are no penalties for wrong answers. If a Save option is available, remember to save while you are answering questions.