Active learning

Scenario:

You are part of an interdisciplinary university working group formed to advise on AI adoption strategies in teaching and learning. The administration has asked your group to explore how theoretical concepts of AI—specifically inclusivity, ethics, and challenges—apply to real educational contexts. 

Personas:

1. Dr. Leila Gómez, Linguistics Professor
   She supports ESL learners and wants to explore how AI tools can help bridge language barriers in content delivery and communication.

2. Samir Patel, Accessibility Technologist
   Focuses on integrating assistive technologies for students with disabilities. He's cautious about AI and its privacy implications.

3. Nina Okoye, Education Policy Graduate Student
   Researches digital equity and ethical AI use in public education systems. She brings a critical lens to data bias and algorithmic fairness.

Instructions:

Step 1: Choose a Persona

Select one of the personas to guide your perspective during the task. Consider their background, priorities, and concerns.

Step 2: Applied Scenario

Imagine your persona is reviewing a proposal to implement an AI-powered tutoring system (e.g., a chatbot, recommendation engine, or adaptive platform). Reflect on:

• What strengths does the AI system offer in supporting diverse learners?

• What theoretical risks or ethical concerns arise?

• How do the concepts from Part 1 help evaluate or mitigate these risks?

Step 3: Deliverable

Create a visual map using an AI tool like Napkin.ai to illustrate the ethical ecosystem of your chosen AI use.