Make the most of your data
Data is everywhere. Often it's locked in places we don't even think to look. Connecting all those rich sources, however, is key to tackling the biggest challenges in education, training and work.
EDUCATE's newly designed AI Readiness Diagnostic is based on a proven step-by-step ethical framework for identifying challenges, leveraging data, applying AI, and learning from the results. We not only help you understand what AI and data is, but how technology, combined with human intelligence, can help solve a crisis.
The AI Readiness Diagnostic
Unlock the power of data in education and training
What is the AI Readiness Diagnostic about?
The diagnostic is a short, simple set of questions based on EDUCATE's Ethical AI Readiness Framework, a proven 7-step approach to solving the biggest challenges in education and training. The diagnostic generates a map of your current expertise in AI and data, and provides a wealth of reading material appropriate to your stage of innovation.
Who is our AI Readiness Diagnostic for?
The diagnostic is for anyone who finds themselves in a learning environment, whether they're a head, an ICT lead, a teacher, founder, or developer in an EdTech venture. If you're working in training, recruitment, or higher and further education, the diagnostic has an individualised expertise map just for you, and specialist recommendations on where to go next.
What is AI Readiness?
It's knowing you and your organisation are ready to leverage the power of AI and data in your educational setting. There are 7 steps to teach you, and you can learn more about them all in a series of webinars we've produced for educators and educational businesses.
Can I take the diagnostic even if I'm just starting my AI journey?
The diagnostic is a fast and clean evaluation of your existing AI knowledge and provides you with recommendations and further reading appropriate to your level. It won't get technical, and you don't need to be working with AI and data currently in order to understand how they can revolutionise your school or business later.
Are you ready?
The Small Print: the EDUCATE Ventures Research diagnostics sit on one of our other websites. When you click on any of the big red buttons you'll be redirected there.
A Guide to the Diagnostic Questions
The first question:
"I understand how AI works, as do my colleagues in our educational organisation. We are ready to start working with AI"
How much do you know about the world of AI and its rich history? Understanding what AI can and can't do, and why, will help you and your colleagues prepare to use it, and save you time and energy at every step.
The second question:
"I have a particular challenge in my educational organisation that I believe AI will help solve. I am ready to think about the specifics of my challenge"
If you think AI can help you, what do you think it can help you with? A challenge is any tough problem in your school or business. Maybe it's to do with recruiting or training the best staff. Maybe it's about analysing attainment gaps, or combating bullying. We'll show you a method for judging whether your problem can be solved with AI.
The third question:
"I have captured data in my educational organisation that relates to the specific challenge I want AI to help solve"
AI needs data to work. What data have you got to support tackling your challenge? If your challenge is around recruitment, you have old applications and interview marks. If it's around attainment gaps, you have old test scores and questions. What do you have access to already?
The fourth question:
"I am gathering new data in my educational organisation that I know will support or enhance the data I have already"
AI needs a lot of data! What data can you get access to, and how can you generate more for your challenge? Surveys, interactions and interviews all create a huge amount of useful data. Are you set up to capture it?
The fifth question:
"I know what AI techniques I can use on the data that relates to my challenge and I'm in a position to apply them and examine the results"
Applying AI techniques to a clean and tidy dataset is pretty advanced stuff, and something most people won't know how to do, so even if this part of the process needs to be done by someone else, familiarise yourself with the concepts and language involved, so that all your decisions are informed.
The sixth question:
"I have results generated from my AI and data. It is clear what these results show"
Using AI on your data can generate some interesting results, including patterns you never thought to look for. Once you have results, think about whether they correlate with any of the other data you've collected on your challenge. Is there a relationship?
The seventh question:
"I have applied AI and interpreted the results from my data. I now have enough to begin to approach or solve my challenge"
The most important thing when working with AI is to constantly improve its accuracy. Are you confident what you've got works? Revisiting each of the questions in the framework prompts a reexamination of your methods, motives, and mindset, and will help refine the model you've developed for your challenge.
and if you need a helping hand...
Contact the AI & Data Science Team, EthicAI, at email@example.com.
We consult on and co-design ethical AI solutions to complex problems in data-driven technology ventures and schools. Our team of computer scientists, educationalists, and world-renowned experts can take you from zero AI to a comprehensive evidence-led strategy and beyond, with effective, scalable AI-powered teaching and learning solutions.