Exercise One: AI for All
AI for All Learners is a collaborative exercise where educators examine how AI can both expand opportunities and create risks for students with diverse backgrounds and needs. Through scenario analysis and group reflection, participants identify practices that ensure AI use fosters equity, safety, and human connection in classrooms.
Educators explore three real-world dilemmas: unequal access to technology, AI grading tools that may overlook student voice, and translation features that risk misrepresentation. By analyzing these scenarios, participants learn how to:
- Recognize inequities in access, language, and ability.
- Redirect AI’s efficiencies toward strengthening—not replacing—teacher-student relationships.
- Model transparent and ethical use of AI to build student trust and digital resilience.
This activity develops AI literacy competencies such as:
- Recognizing AI’s role and influence in different contexts.
- Explaining how AI could amplify societal biases.
- Deciding whether and how AI systems should be used in classroom practice.
Educators leave with practical, low-barrier strategies and a renewed vision of how they can shape a more inclusive, human-centered future with AI.
Learning Goals
By the end of this activity, educators will be able to:
🎯 Recognize how inequities (access, language, ability) shape student experiences with AI.
🎯 Identify ways to leverage AI tools to create time for deeper human connection.
🎯 Reflect on and model safe, transparent, and ethical AI use.
Preparation
- Materials Needed: chart paper or whiteboard; markers; sticky notes
- Download the facilitator slides (Google Slides | PDF)
- Draw three columns on the board labeled: “Access and Inclusion” | “Human Connection” | “Safe and Ethical Use.”
- Post three scenarios on the board or record them on the chart paper:
- A classroom where only some students have home internet, and AI homework tools are assigned.
- An AI grading tool that saves teachers hours but risks missing student voice or creativity.
- A translation feature that supports multilingual learners but sometimes misinterprets meaning.
Instructions
(1) Frame the Topic – 5 minutes
- Say: “AI offers powerful support for learning—personalized practice, instant feedback, workload reduction. But it can also create new gaps if not all students have access, if tools contain bias, or if they replace the human relationships that make learning meaningful. Today we’ll consider how to maximize the benefits while protecting what matters most: inclusion, safety, and connection.”
(2) Scenario Analysis in Groups – 10 minutes
- Divide educators into small groups.
- Assign each group one scenario prompt (or have them generate a real example from their own practice).
- Ask them to discuss:
- Who benefits most in this scenario?
- Who might be left out or disadvantaged?
- How could AI be adjusted to support more learners?
- How do we ensure students still experience personal connection and teacher presence?
- Encourage groups to note key points on sticky notes under the three columns.
(3) Whole Group Gallery Walk and Discussion – 10 minutes
- Invite everyone to read the sticky notes posted under each column.
- Facilitate discussion with prompts:
- What patterns do you notice across the scenarios?
- How can AI’s time-saving features be redirected toward deeper human connection?
- What norms or boundaries would help us use AI responsibly and transparently with students?
(4) Reflection and Takeaways – 5 minutes
- Bring the group back together. Highlight patterns that emerged.
- Say: “The lesson here is clear: AI can be a helpful partner, but it is not a truth-teller. Our role is to guide students to approach AI critically—fact-checking, cross-referencing, and questioning its outputs. By practicing these habits ourselves, we can prepare students to be discerning, responsible users of AI.”
Implementation Tips
- Draw on personal experience. Encourage educators to share stories of times when access, inclusion, or relationships were challenged by technology.
- Connect to student voice. Suggest asking students how they feel about AI’s role—what helps them, what feels alienating, and what they wish teachers understood.
- Highlight low-barrier strategies. Remind educators that inclusivity doesn’t always require costly tools: offering alternatives, providing context for AI outputs, and prioritizing connection are powerful steps.
- Keep the focus on relationships. Circle back to the guiding principle: AI can handle routine tasks, but only humans can provide empathy, mentorship, and community.
