Using Generative AI Tools in Teaching
Try asking Microsoft's digital assistant Copilot for tips on how to use GenAI tools in your teaching. Both staff and students at University West have access to Copilot. GenAI tools can be used as idea generators and sounding boards, but also to produce teaching materials. Also, try analysing the strengths and weaknesses of AI-generated texts and images in your subject area, together with your students.
The following text is generated by Copilot, using the prompt: "Can you give me a list of examples of how generative AI tools can be used in teaching to support students?" and then processed.
Generative AI technologies have opened up new opportunities in academia. These tools can support students and teachers in several ways. Here are some examples of how generative AI tools can be used in teaching:
- Create study questions linked to the literature: Generative AI can help you generate study questions based on course literature. This makes it easier for students to practice and understand the subject better.
- Quiz questions: Use AI to design quizzes and knowledge tests. Interactive quizzes can make the learning process more fun and engaging.
- Case methodology: Generative AI can simulate different case studies or scenarios. Students are able to analyze and solve problems based on these simulations.
- To act as a counterpart in a conversation: Generative AI can play the role of another person or character in a written or verbal conversation. This can help students practice communication and argumentation.
- Generate creative content: In addition to text generation, generative AI can create images, music, movies, computer games, and computer programs. This provides opportunities to integrate AI into different courses and support different learning styles.
However, it is important to be aware of a few aspects when using generative AI in teaching:
- Factual accuracy: Generative AI can generate coherent text that feels authentic and human, but it can also contain factual errors. Instructors should always review and verify the information.
- Bias: Generative AI is not neutral. It is based on algorithms and trained on data that can include ratings and bias. It is important to be aware of this and critically examine the generated content.
In conclusion, generative AI can be a powerful tool for supporting students and creating interactive and engaging learning environments.