AAI101 Generative AI Tools and Workflows End-of-Course Assessment – July Semester 2025, Singapore

INSTRUCTIONS TO STUDENTS:

1. This End-of-Course Assessment paper comprises 7 pages (including the cover page).

2. You are to include the following particulars in your submission: Course Code, Title of the ECA, SUSS PI No., Your Name, and Submission Date.

3. Late submission will be subjected to the marks deduction scheme. Please refer to the Student Handbook for details.

IMPORTANT NOTE

ECA Submission Deadline: Sunday, 2nd November 2025, 12 noon.

ECA Submission Guidelines

Please follow the submission instructions stated below:

ECA Submission Guidelines

Please follow the submission instructions stated below: This ECA carries 70% of the course marks and is a compulsory component. It is to be done individually and not collaboratively with other students. Submission You are to submit the ECA assignment in exactly the same manner as your tutor-marked assignments (TMA), i.e. using Canvas. Submission in any other manner like hardcopy or any other means will not be accepted. Electronic transmission is not immediate. It is possible that the network traffic may be particularly heavy on the cut-off date and connections to the system cannot be guaranteed. Hence, you are advised to submit your assignment the day before the cut-off date in order to make sure that the submission is accepted and in good time. Once you have submitted your ECA assignment, the status is displayed on the computer screen. You will only receive a successful assignment submission message if you had applied for the e-mail notification option.

ECA Marks Deduction Scheme

Please note the following: (a) Submission Cut-off Time – Unless otherwise advised, the cut-off time for ECA submission will be at 12:00 noon on the day of the deadline. All submission timings will be based on the time recorded by Canvas. (b) Start Time for Deduction – Students are given a grace period of 12hours. Hence calculation of late submissions of ECAs will begin at 00:00 hrs the following day (this applies even if it is a holiday or weekend) after the deadline. (c) How the Scheme Works – From 00:00 hrs the following day after the deadline, 10 marks will be deducted for each 24-hour block. Submissions that are subject to more than 50 marks deduction will be assigned zero mark. For examples on how the scheme works, please refer to Section 5.2 Para 1.7.3 of the Student Handbook. Any extra files, missing appendices or corrections received after the cut-off date will also not be considered in the grading of your ECA assignment.

Plagiarism and Collusion

Plagiarism and collusion are forms of cheating and are not acceptable in any form of a student’s work, including this ECA assignment. You can avoid plagiarism by giving appropriate references when you use some other people’s ideas, words or pictures (including diagrams). Refer to the American Psychological Association (APA) Manual if you need reminding about quoting and referencing. You can avoid collusion by ensuring that your submission is based on your own individual effort. The electronic submission of your ECA assignment will be screened through a plagiarism detecting software. For more information about plagiarism and cheating, you should refer to the Student Handbook. SUSS takes a tough stance against plagiarism and collusion. Serious cases will normally result in the student being referred to SUSS’s Student Disciplinary Group.

(Full marks: 100)

Section A (75 marks)

Answer all questions in this section.

Submission Instructions for Section A:

● Content: Comprehensive responses to all three questions with supporting analysis, frameworks, and recommendations.

● Supporting Materials: Include diagrams, flowcharts, or other visual aids as appropriate.

● Length: No strict limit, but aim for comprehensive yet concise responses.

Question 1

Integrated AI Workflow Design

Scenario:

GreenTech Solutions, an environmental consulting firm with 50 employees, wants to create an integrated AI-powered system that combines client acquisition, project management, and educational outreach. They need to identify ways to attract sustainability-focused clients, streamline their project intake and management processes, and provide educational resources to help clients understand environmental regulations and best practices.

Your Task:

Design a comprehensive AI workflow strategy that integrates concepts from Lessons 1-4 (Generative AI Fundamentals, Marketing Content Creation, Business Process Automation, Educational Content Development).

Question 1a

Workflow Integration Map

• Discuss and design an integrated workflow that connects client acquisition through AI-powered marketing, automated project intake, and educational content delivery.
• Show how different AI tools and processes work together seamlessly.
• Include decision points and feedback loops in your workflow.

(8 marks)

Question 1b

AI Tool Selection and Application

• Recommend specific AI tools for each component of the integrated system.
• Justify your tool choices based on functionality, cost, and integration capabilities.
• Address potential compatibility and data flow issues between tools.

(8 marks)

Question 1c

Content and Process Consistency

• Develop strategies to maintain consistent brand voice across marketing, operations, and educational content.
• Create quality control mechanisms that work across all system components.
• Design feedback systems to continuously improve the integrated workflow.

(9 marks)

Question 2

Data Analysis and Visualization Strategy

Scenario:

The Singapore Tourism Board has collected comprehensive visitor data over the past 3 years, including visitor demographics, spending patterns, activity preferences, accommodation choices, satisfaction ratings, and seasonal trends. They need to present insights to three key stakeholder groups: government officials (policy decisions), tourism operators (business strategy), and international marketing teams (campaign planning).

Your Task:

Design a comprehensive data analysis and visualization strategy that demonstrates understanding of Lesson 5 concepts while integrating insights from previous lessons.

Question 2a

Stakeholder Analysis and Insight Requirements

• Identify the specific insights each stakeholder group needs from the tourism data.
• Determine the decision-making context and information priorities for each group.
• Consider how different stakeholders will use the insights in their work

(10 marks)

Question 2b

Visualization Strategy for Different Audiences

• Develop and design appropriate visualization types for each stakeholder group’s needs.
• Justify your visualization choices based on data types and audience requirements.
• Consider accessibility, technical literacy, and presentation context for each audience.

(15 marks)

Question 3

Customer Service Bot Development and Integration Scenario:
EduTech Academy, an online learning platform with 10,000+ students, receives 200+ support queries daily. Analysis shows five main query categories:

• “Can’t access my course” (40% of queries)
• “Payment/billing issues” (25% of queries)
• “Where’s my certificate?” (15% of queries)
• “Technical problems” (10% of queries)
• “Course information” (10% of queries)

  EduTech Academy wanted to implement an AI-powered customer service system that can handle routine queries while seamlessly escalating complex issues to human agents.

Your Task:

Design a comprehensive customer service automation strategy that demonstrates understanding of Lesson 6 concepts while integrating workflow and content creation principles from earlier lessons.

Question 3a

Conversation Flow and Query Handling

• Design conversation flows showing how the bot handles the 5 query types above using simple decision trees and response logic.
• Design escalation triggers and handoff mechanisms to human agents.

(10 marks)

Question 3b

Response Quality and Consistency

• Create ChatGPT response templates for each query type with escalation criteria.
• Develop guidelines for maintaining consistent tone and brand voice in bot responses.

(15 marks)

SECTION B (25 marks)

Answer all questions in this section.

Submission Instructions for Section B:
● Content: All components of learning and research documentation.
● Supporting Evidence: Include screenshots of AI tool interactions, research sources, and examples of your work process.
● Length: Approximately 2500-3500 words plus supporting visuals.

Question 4

Research Process Documentation

• Document your research and learning process throughout this assessment:

Question 4a

Research Journey

• Source Evaluation: List and critically evaluate the sources you consulted (academic papers, industry reports, case studies, best practices, etc.).
• Research Strategy: Describe your approach to finding relevant and credible information for each question.
• Information Synthesis: Explain how you synthesized information from multiple sources to develop your responses.
• Knowledge Validation: Describe how you verified the accuracy and relevance of information, especially given the open-book nature of this assessment.

(6 marks)

Question 4b

Learning Integration

• Cross-Lesson Connections: Identify and explain connections you made between different course lessons while working on this assessment.
• Concept Application: Describe how you applied theoretical concepts from the course to practical scenarios.
• Understanding Evolution: Reflect on how your understanding of AI tools and workflows evolved during this assessment.
• Gap Identification: What knowledge gaps did you identify, and how did you address them?

(6 marks)

Question 5

AI Tools Usage Documentation
Document your use of AI tools throughout the assessment process:

Question 5a

Tools and Techniques

• Tool Selection and Justification: List all AI tools you used and explain why you chose them for specific tasks.
• Prompt Engineering Examples: Provide examples of effective prompts you developed, including iterations and improvements (include screenshots).
• Tool Comparison: Compare the effectiveness of different tools for different types of analysis and content creation.
• Integration Approach: Describe how you used multiple AI tools together to complete complex tasks.

(7 marks)

Question 5b

Quality Control and Validation

• Output Evaluation: Describe your process for evaluating and improving AIgenerated content.
• Fact-Checking: Explain how you verified the accuracy of AI-generated information and recommendations.
• Human-AI Collaboration: Reflect on how you balanced AI assistance with your own critical thinking and domain knowledge.
• Limitations Recognition: Identify limitations you encountered with AI tools and how you worked around them.

(6 marks)

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