Francis David
Learning Design Architect
Generative AI Decisions — Immersive Practice Storyboard
Project Overview
Designing an immersive practice storyboard to help learners apply entrepreneurial decision-making while working through key components of the generative AI value chain.
The storyboard supports applied learning by placing learners in a realistic role and guiding them through structured decisions involving training data, model architecture, and computational resources.
Designing the Immersive Practice
The immersive practice is structured as a multi-step scenario where learners assume the role of a data scientist developing a generative AI model.
The storyboard defines screen-by-screen flow, decision points, feedback logic, and scoring rules to ensure consistent implementation during development and delivery.
Client Context
The client needs an immersive practice activity within an entrepreneurship course to help learners demonstrate entrepreneurial mindset when making technical and strategic decisions.
Learners must evaluate options that involve trade-offs, ethical considerations, and long-term consequences rather than selecting universally “correct” answers.
What this storyboard is (and isn’t)
- It is a scenario-based immersive practice storyboard, not a content lesson.
- It supports decision-making, reflection, and mindset development.
- It embeds scoring and feedback to reinforce consequences of choices.
- It is not a technical simulation or a certification assessment.
Design Approach
The storyboard follows a step-wise decision progression, moving through training data, algorithmic form, and computational power.
Each step presents multiple decision layers with differentiated feedback and scores, reinforcing that outcomes depend on context, constraints, and priorities. Feedback language is designed to encourage reflection rather than reward correctness alone.
Key Components
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Role-based immersive scenario framing
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Multi-level decision paths across three AI value-chain components
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Contextual feedback tied to entrepreneurial trade-offs
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Score-based outcome messaging
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Summary insights reinforcing mindset-level learning
Role & Contribution
I designed the complete immersive practice storyboard, including scenario structure, decision logic, feedback language, and scoring model.
This included aligning technical decision content with entrepreneurial mindset principles and ensuring clarity for both learners and developers.
Outcome
The storyboard provides a clear blueprint for developing an immersive practice activity that integrates technical decision-making with entrepreneurial thinking.
It supports consistent development, meaningful learner engagement, and reinforcement of mindset-driven learning objectives.
Reflection
This work demonstrates how immersive practice can bridge technical concepts and entrepreneurial judgment. By framing AI decisions as contextual trade-offs, the storyboard encourages learners to think beyond correctness and focus on consequences.
Description
Personal Portfolio
Immersive practice storyboard focused on entrepreneurial decision-making within the generative AI value chain.