Generating quality classroom questions with AI

Description

  • Show basic prompts for LLMs for question generation.
  • Show use of GEMS in Gemini to get specific questions generated, using “I do, we do, you do” as the example.
  • Show using Notebook LM as a program to use as a bank of information for a topic that can then be shared with students for them to get personalised quizzes, flashcards and to use as a chatbot for the specific information that was fed into the topic notebook.
  • Show using LLMs such as Gemini to create simple HTML code that can be used to create simulations. (This is quite a jump and might not be included)
  • Discuss some advantages around the use of AI, such as time saving capability, easier to meet teaching standards and expanding the curriculum through more immersive lessons.
  • Discuss some reservations around AI such as plagiarism, students needing to critically evaluate the outputs and students/teachers becoming reliant on the use of AI.

Learning Objectives

  • Design structured prompt sequences that align with the "I Do, We Do, You Do" framework.
  • Construct a personalized knowledge base using NotebookLM to generate curriculum-aligned flashcards and quizzes.
  • Discuss some advantages and reservations around using AI as a content creation tool.

Audience

  • Teachers wanting to use AI in the classroom.
  • Focussed mainly on Secondary teachers that are wanting to use AI to create questions and tasks for students to do in lessons.

About the Presenter

  • Matthew Armitage

    Matthew Armitage

Matt holds a PGDE from the UK and has nine years of experience as a Science and Physics teacher in Thailand. Currently teaching in Bangkok, he focuses on the development and implementation of AI initiatives in the classroom. As a contributor to his school’s AI Professional Learning Community (PLC), Matt helps develop the policies and frameworks that guide the ethical and effective use of AI for both staff and students. Title: Science and Physics