AI in the Adult Migrant Classroom – A Foundation for Educators

An introductory workshop for educators that explores the fundamental reasons for and against using digital and AI tools in adult migrant education, building a critical, ethical, and purpose-driven foundation for future integration.

DigCompEdu Competence Area(s)

Professional engagement, Empowering learners, Facilitating learners’ digital competence

Time

Preparation time 30 minutes

Implementation time 90 minutes

Educator Progression Level

Explorer

Target groups

Educator Training

Minimum student digital skill level

None

Minimum student language level

A1

🎓 Learning Objectives

Participants (Educators) will be able to:

  • Articulate at least three potential benefits of using digital/AI tools for enhancing the learning experience and outcomes of adult migrants.
  • Identify at least three key risks or limitations of using these tools, particularly in contexts involving vulnerable learners.
  • Apply a simple “Purpose-First” questioning framework to a teaching scenario to make an initial judgment on whether a digital/AI tool is an appropriate solution.

Ingredients

Item / Resource Quantity Purpose
“Why/Why Not” T-Chart Handout 1 per participant A worksheet with two columns for participants to record benefits and risks during discussions.
Learner Vignettes 1 set per group Short, vivid descriptions of diverse learners, highlighting their goals and challenges, to ground discussions.
“Purpose-First” Decision Card 1 per participant A pocket-sized card with key reflective questions (see Appendix).
Sample Tool Prompt & Output 3 examples Brief examples showing a good, a biased, and an ineffective AI output for the same request (e.g., generating a job interview dialogue).
Sticky Notes & Markers Plenty For brainstorm activities and anonymous questions.

Utensils

Devices: Optional. This is a discussion-based workshop; slides can be displayed by the facilitator only. Space: Room arranged for group discussion (pods or rounds). Platform: Simple presentation slides (PowerPoint/Google Slides).

🥣 Preparation – Before Implementation

  • Gather Vignettes: Create concise, one-paragraph summaries of 3-4 key learner profiles, highlighting their goals and challenges.
  • Prepare Contrasting Examples: Find or create clear examples where AI succeeds and fails. Example: A well-leveled reading text versus a translation that misses cultural nuance.
  • Set the Room: Arrange chairs for small group work. Prepare a central whiteboard or flipchart with a giant T-Chart titled “Our Hopes / Our Concerns.”

🔥 Implementation Steps

  • (Total: 90 mins)
  • Part 1: Grounding in Reality – The Learners’ Needs (20 mins)
  • Silent Reflection (5 mins): Begin by projecting names of diverse learner profiles (Use the AI Cookbook Personas). Ask: “What is the single biggest barrier each one faces?” Participants jot thoughts on sticky notes.
  • Small Group Discussion (10 mins): In groups, participants share their reflections. They then receive a Learner Vignette. Their task: List 2-3 concrete ways they currently try to help this learner overcome their barrier.
  • Brief Share (5 mins): Groups share one key barrier and one current teaching strategy. The facilitator notes that technology is just another potential “strategy” in our toolkit.
  • Part 2: The Promise and The Peril – Exploring Why & Why Not (50 mins)
  • Brainstorm: The “Why” (20 mins):
  • Pose the question: “How could digital/AI tools potentially help us address the barriers we just discussed?”
  • Participants brainstorm in groups, using the “Why” side of their T-Chart. Prompt with ideas: Personalization? 24/7 practice? Reducing teacher administration?
  • Groups post top ideas on the “Our Hopes” side of the central board. Facilitator clusters themes (e.g., Efficiency, Accessibility, Engagement).
  • Critical Dialogue: The “Why Not” (25 mins):
  • Shift tone: “What worries you, or what should we be cautious about, when considering these tools for our learners?”
  • Introduce the three Sample Tool Prompts. Show the good output, then the problematic ones. Ask: “What if a vulnerable learner only saw the biased one?”
  • Groups brainstorm risks on the “Why Not” side of their T-Charts. Guide them beyond “it can be wrong” to ethical issues: Data privacy, digital divide, dehumanization, algorithmic bias.
  • Groups post concerns on the “Our Concerns” side of the central board.
  • Synthesis (5 mins): Facilitator draws a circle around the central board. “Our job is not to choose a side, but to navigate this entire space with our learners’ best interests at the centre.”
  • Part 3: A Framework for Moving Forward – The “Purpose-First” Mindset (20 mins)
  • Introduce the Decision Card (10 mins): Distribute the “Purpose-First” Decision Card. Walk through its three core questions, explaining each is a filter.
  • Scenario Practice (10 mins): Present a short scenario: “You want to help a learner practice for job interviews. You’re considering using an AI chatbot to conduct mock interviews.”
  • In pairs, educators use the card to discuss: What’s the pedagogical purpose? What’s the human oversight plan? What are the access/risk checks?
  • Briefly share insights. You are not looking for a yes/no answer, but to practice asking the right questions.

🧂 Differentiation & Inclusion

  • For tech-enthusiasts: Channel their energy into analysing the “Why Not” column deeply. Challenge them to find the strongest counter-argument to their favourite tool.
  • For tech-sceptics: Validate their concerns as professional and ethical. Frame the session as building a shared set of safety guidelines that will make any future tech use more secure and effective.
  • Environment: Use think-pair-share and small groups to ensure quieter voices are heard before whole-group discussion.

🍴 Assessment & Feedback

Assessment method Instrument/Criteria
Formative Quality of group contributions to the central T-Chart and the depth of discussion during scenario practice.
Summative Completion of the “Why/Why Not” T-Chart with clear, relevant points in both columns.
Feedback Exit Poll: “On a scale of 1-5, how has today shifted your thinking about using AI/digital tools with migrant learners? (1 = not at all, 5 = completely). Please write one word for your main feeling now: [Optimistic / Cautious / Curious / Overwhelmed / Other].\”

⚠️ Ethics, Privacy & Safeguarding

  • Core of the Session: The entire “Why Not” discussion is an ethics and safeguarding drill. Explicitly connect concerns to duty of care:
  • Bias & Misinformation: “We have a duty to provide accurate information.”
  • Data Privacy: “We have a duty to protect our learners’ personal information.”
  • Digital Divide: “We have a duty not to further marginalize those with less access or confidence.”
  • Key Message: “Ethical use isn’t an add-on; it’s the first filter. If a tool fails the ethics check, the pedagogical benefits are irrelevant.”

🍱 Extensions / Follow‑Ups

  • Action Research: Invite participants to use the “Purpose-First” Decision Card to evaluate one tool they are curious about and report back.
  • Policy Drafting: Use the collective “Our Concerns” list as a starting point for a class or institution “Charter for Ethical EdTech Use.”
  • Next Session: This foundation leads perfectly into training on specific tools and strategies, where each can be evaluated against today’s framework.

🔗 Cross‑Subject Link

References & Resources

DigCompEdu Framework: Highlight Area 1 (Professional Engagement) and Area 5 (Empowering Learners). https://joint-research-centre.ec.europa.eu/digcompedu_en
UNESCO Guidance on AI in Education: For high-level ethical principles.  https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
“Why/Why Not” T-Chart & “Purpose-First” Decision Card: (Provided in session).