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.

Τομέας(-είς) ικανοτήτων DigCompEdu

Professional engagement, Empowering learners, Facilitating learners’ digital competence

Χρόνος

Preparation time 30 minutes

Implementation time 90 minutes

Επίπεδο Εξέλιξης Εκπαιδευτικού

Εξερευνητής

Ομάδες-στόχοι

Educator Training

Ελάχιστο επίπεδο ψηφιακών δεξιοτήτων των μαθητών

None

Ελάχιστο επίπεδο γλωσσομάθειας του μαθητή

A1

🎓 Μαθησιακοί Στόχοι

Οι συμμετέχοντες (εκπαιδευτικοί) θα είναι σε θέση να:

  • 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.

Συστατικά

Είδος / Πόρος Ποσότητα Σκοπός
“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.

Εξοπλισμός

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).

🥣 Προετοιμασία – Πριν από την υλοποίηση

  • 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.”

🔥 Βήματα υλοποίησης

  • (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.

🧂 Διαφοροποίηση και Συμπερίληψη

  • 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.

🍴 Αξιολόγηση και ανατροφοδότηση

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].\”

⚠️ Ηθική, Ιδιωτικότητα & Διασφάλιση Προστασίας

  • 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.”

🍱 Επεκτάσεις / Συνέχειες

  • 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.

🔗 Σύνδεση μεταξύ γνωστικών αντικειμένων

Αναφορές και Πηγές

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).