Skip to main content

Your MAIT

Page 1

Your MAIT (Your Manual for Artificial Intelligence in Teaching) This guidance was written by Daniel Martin, SMT Associate: Digital Learning and Innovation, for the staff of Emanuel School. Introduction Welcome to your MAIT (Manual for Artificial Intelligence in Teaching). The purpose of these documents is to guide you to enhance pupils’ learning using AI, whilst simultaneously saving yourself time. Each volume will outline a series of potential “prompts” (what you input into the AI) that you can use to complete a variety of tasks, giving a generic prompt template and a specific example. Please feel free to adapt these prompts to utilise your subject and pedagogical expertise or to simply see what gives you better outputs! I also recommend building up a OneNote of prompts specific to your needs over time to save time when you next need them. Please read the following key points before using AI in your teaching: Rules of Engagement ▪

Prompt Engineering – The quality of what you put into AI directly correlates to the quality of the output. You must construct high quality and detailed prompts that utilise both your subject knowledge and pedagogical skills – see prompt engineering section below for more details. Always check and adapt the output – sometimes a large language model (LLM) like ChatGPT may incorrectly interpret your prompt or (on less common topics) even hallucinate (make up an incorrect answer) in its response. It is crucial that you thoroughly check anything AI outputs both for factual correctness and for relevance to your subject/exam board/age group/class and adapt it to this context. Hallucinations are particularly common for mathematical questions which LLM’s can get wrong if they’re more challenging (note – try Sizzle.AI for complex maths) Consider GDPR – Uploading any personal pupil/parent/staff data to an AI could be a violation of data protection laws and means you are giving that data away. As a rule of thumb never upload anyone’s personal data into an AI. You may get around this by anonymising data before it is input but this often introduces extra steps that will take more time than traditional methods – proceed with caution. Watch for Bias – LLMs take their information from whatever they are “trained on” including knowledge available from the internet. Because human beings can express bias and stereotypes in their opinions, so too can AI. You should be conscious of this and monitor outputs for any signs of bias/perpetuation of stereotypes or discriminatory views. Refine prompts and repeat – Once you have an initial response to your prompt and have read the response, adapt the initial prompt and input it again. This is a quick way of getting the prompt closer to your required output. You may also wish to put the same prompt into different LLMs to get slightly different responses. It can’t do it better than you – AI is a tool to enhance teaching and save you time but can never replace you with your professional expertise and specific knowledge of your subject and pupils. Use it to give you initial ideas and get away from the “blank white page”, but don’t copy and paste what comes out. Share your successes – try new things and see what works – almost any task could be done with AI. When things go well, share this success with your colleagues and let DOM know. We can collectively share great practice and greatly improve the use of AI at Emanuel.


Turn static files into dynamic content formats.

Create a flipbook
Your MAIT by Emanuel School - Issuu