Student AI Activity
Objective
To develop AI prompting skills and practice using AI in a real-world context while engaging with a GoVenture simulation.
Activities
As you play GoVenture, use AI to assist with at least three of the following activities:
- Understand Subject Terminology
- Receive Coaching Advice
- Identify Risks and Opportunities
- Evaluate the Consequences of Decisions
- Analyze Data
- Predict Future Outcomes
- Apply Statistical Modeling
- Optimize Metrics
Considerations
The effectiveness of AI depends on several factors:
- The AI model you choose.
- The quality of your prompts.
- The data and context you provide in your prompts.
- How you interpret AI-generated feedback.
- The accuracy and reliability of AI responses.
AI Models
Use two or more AI models to compare their performance. Examples include ChatGPT, Meta.ai, Copilot, Gemini, or any other AI model of your choice.
Instructions
While playing GoVenture, use AI and record your objectives and results in an AI Activity Log similar to the examples below:
| AI Model | Objective | Prompt | Your Observations & Results of the AI Feedback |
|---|---|---|---|
| ChatGPT | Define specific terms with examples so I can understand them better | Explain the difference between Net Profit and Gross Profit with 3 examples. | |
| Meta.ai | Help me decide if I should raise my product price. | The average price in the industry is $500. My price is $450. What are the benefits and consequences of raising the price of my product to $600? | |
| Copilot | Help me forecast unit sales. | Average market demand is $1,000 and my price is $5. How many units should I produce? |
Final Submission
When you complete the GoVenture simulation, submit your AI Activity Log along with answers to the Reflection Questions below in one of these formats:
- Written Report (Maximum 500 words)
- Slide Deck (Maximum 10 slides)
- Video Presentation (5 minutes)
- Live Presentation (5 minutes)
Reflection Questions
Answer 10 questions:
How did different AI models compare in terms of accuracy, detail, and usefulness?
Which AI-generated insights were most helpful, and how did they impact your decision-making?
Did any AI suggestions lead to unexpected outcomes in the simulation? If so, what were they?
How did you refine your prompts to improve the relevance and quality of AI responses?
What were the biggest limitations of using AI in this simulation? How did you work around them?
To what extent did AI align with your own critical thinking and problem-solving abilities?
How would you apply AI prompting techniques learned in this activity to real-world decisions?
Were there any differences in how AI models handled numerical data versus strategic advice?
Did AI responses ever conflict with your own instincts or prior knowledge? How did you resolve this?
If you had unlimited access to AI tools, how would you integrate them into future learning or professional work?