Integrating GenAI into classroom activities can enrich learning experiences and save time in preparation. In vocational education, hands-on practice and scenario-based learning are key, and AI can help generate those scenarios, provide feedback, or adapt activities to student needs. Here are a few ways GenAI can enhance classroom activities:
- Role-Play and Simulations: AI can take on the role of a virtual character in a role-play. For instance, students can practice job interviews or client interactions with ChatGPT acting as the interviewer or client. One educator had students do “mock career interviews” using an AI chatbot as the interviewer. If a student wants to be a nurse, the AI can play a hospital administrator asking them questions. This gives realistic practice in a safe setting. Students can even pause the role-play to ask the AI for clarification or to adjust the difficulty of questions, something not possible with a real interviewer on the fly. It builds confidence and skills for the real world.
- Personalised Quizzes and Study Aids: An AI like ChatGPT can generate practice questions, flashcards, or even mini-cases on any topic. If you’re studying culinary arts, you might ask, “Quiz me on kitchen safety protocols.” The AI could produce a set of questions to test your knowledge. Because it’s on-demand, each student can get targeted practice on areas they personally find challenging. AI can also act as a “study buddy” that explains concepts in simpler terms or gives examples. Unlike human peers, an AI study buddy is available 24/7 and won’t get tired or off-topic. This helps students who might be shy to ask questions in class to get clarification privately.
- Brainstorming and Creative Inspiration: In group projects or problem-based learning, brainstorming is essential. AI can boost brainstorming by offering ideas that students hadn’t considered. For example, if a class is designing a project for sustainable architecture, they could ask the AI, “List 5 innovative building ideas inspired by different cultures.” The suggestions might spark further research or creative designs. Teachers have found that using ChatGPT to generate alternative perspectives or hypotheses can challenge students to think more critically. It’s like having an extra member in the group who always has a suggestion.
- Differentiation and Student Support: Not all students learn at the same pace. GenAI tools can adjust materials for different levels. A teacher might use AI to rewrite a technical text in simpler language for learners who need it, or to provide an extra challenge scenario for advanced learners. This helps in a mixed-ability classroom, ensuring everyone is engaged. Moreover, non-native speakers can ask AI to explain a term in their preferred language, aiding comprehension without waiting for an in-person translator.
To use GenAI effectively in class, teachers should set clear tasks and boundaries. For example, if students use AI for writing help, make it a rule that they must edit the AI’s output and make it their own. One approach is to have students highlight or annotate what parts of an AI-generated answer they kept and what they changed, to ensure active learning (Fischer, 2025). Always align AI activities with learning objectives: if the goal is to practice problem-solving, use AI to set the scene, not to solve the problem entirely for the student.
Example: In a customer service course, an instructor organises a “Great Debate” on handling a difficult customer. Each student is assigned a role (some take the perspective of the customer, others the employee). They prepare with ChatGPT’s help – for instance, a student can ask, “Give me arguments a frustrated customer might make about a delayed service.” Meanwhile, the “employee” can ask, “Provide points on how to professionally apologize and resolve the issue.” During the live debate, students have richer content to draw from and feel more prepared. After the activity, the class can even ask ChatGPT to analyze the dialogue, getting feedback on clarity or tone. This hybrid approach (human debate + AI preparation/reflection) leads to deeper learning.
In another scenario, a Project Management class uses generative AI to create case studies. Because many case studies were too Western-centric, the instructor had AI generate a project scenario set in the students’ home countries. Students then worked on these AI-generated case studies, finding them more relatable and engaging since the context felt familiar. This demonstrates how AI can help localize and diversify learning content.
Trainer Tip: Always test-run AI activities before class. As a teacher, try the prompt yourself and see what the AI gives. That helps you anticipate any confusing or irrelevant outputs and tweak the activity. During class, remind students that using AI is not about getting a perfect answer instantly – it’s about generating material they can think about and improve. Also, have a backup plan in case the AI service is down or the output is not useful (e.g., have a pre-written scenario ready). By being prepared, you ensure AI is a boost to your lesson, not a distraction.
Exercises:
Individual: AI Study Buddy Session.
Choose a topic you recently learned in class and imagine you have a test on it next week. Using a tool like ChatGPT, engage in a study session. For example, prompt: “I need to study for an exam on [topic]. Can you ask me 5 quiz questions and then help me understand the answers?” Try to answer the AI’s questions on your own first, then see its feedback or correct answers. If you got something wrong, ask “Can you explain this concept in simple terms?” This exercise will sharpen your understanding by using AI as a real-time tutor.
Reflect on the experience:
- Did the AI explanations help you understand the topic?
- Were the questions appropriate for your level?
- Which explanation was the most useful?
Class: AI-Powered Intercultural Workplace Role-play.
Divide students into groups of four and assign specific workplace roles relevant to their vocational field. For example, in a hospitality class the roles could be Head Chef, Apprentice Chef from another country, Waiter/Waitress, and Restaurant manager. In healthcare, student could take the roles of Nurse, Patient, Family Member, and Ward Manager. For example, prompt: “Create a realistic scenario where a multicultural kitchen team experiences a misunderstanding during a busy lunch service. Include different perspectives and demonstrate how respectful communication can resolve the situation.”
Students act out the scenario and then discuss:
- What caused the misunderstanding?
- How did the team resolve the issue?
- Which behaviours promoted inclusion and effective teamwork?
- How could communication be improved in a real workplace?
Finally, reflect on how the AI influenced the role-play. Did it provide realistic and culturally appropriate suggestions? What changes would you make to improve the scenario?