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AI Readiness: Step 2

  • A key aspect of the AI Readiness approach is to help you focus your thinking on a thorny challenge you face in your educational environment

  • Maybe the challenges that you face are systemic and process based. Or perhaps they are rooted in an attempt to shift your teaching from a traditional pedagogic approach to an enquiry- or project-based pedagogy

  • Maybe you're:

    • Trying to recruit, train or retain the best staff

    • Analysing attainment gaps

    • Understanding learning analytics

    • Unsure as to whether your marking and feedback engages students or actually helps them learn

  • The AI Readiness Framework uses 10 key prompts to help you focus on one particular challenge that might be addressed and better understood by the application of AI. These prompts can all be found in AI for School Teachers (and in the recommendations below) along with their scoring metrics that help to prioritise them, which will help you decide on what to do next

  • List your assumptions during the exercise. Assumptions can be hard to make explicit, as they’re often unwritten best guesses that have never been formalised, but they’ll nevertheless shape the way in which a potential solution starts to emerge

  • Key Takeaway: Your head might be swimming with all the different issues you can see in your school or educational business, but performing an exercise to identify just what’s possible, and how much of an appetite you and your colleagues have for the tackling of the challenge will help ground your expectations, and direct your approach

 - Professor Rose Luckin, Founder, EDUCATE Ventures Research, July 2022

Step 2: Modules

Consider Your Challenges

A good place to start is to think about the challenges you face currently in your organisation.  Included are some examples

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How to Pick Your Challenge

10 Key Prompts exist to help you decide which of your challenges would be the most appropriate for AI to help solve

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Identifying an Appropriate Challenge

EXAMPLE: the recruitment of a top team

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Check your assumptions at each and every point along your journey.  It will help sanity-check and course-correct your progress

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Differentiating Between Challenges

What about related challenges?  How should we compare them so that we focus on one and concentrate our resources effectively?

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Knowing Where AI Can Benefit the Most

Consider finding a challenge that plays to AI's strengths and can compensate for weakness in human intelligence

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Making a Data-Informed Decision

Think about what kinds of data you and your colleagues encounter, and how you use it.  Could you learn more from it?

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A Quick Introduction to the Logic Model

The Logic Model is a tool to help demonstrate efficacy and impact - it is a strategic decision-making dashboard for your organisation

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Step 2: Further Reading

Below you can find a selection of resources, books, podcasts, webinars, and research papers appropriate to your stage of AI Readiness. Good luck!

Download this step as a PDF here.

AI for School Teachers, Byte-Sized Edition

  • An easy-to-read 10-page byte-sized summary of the book of the same name, written by Professors Rose Luckin, Mutlu Cukurova, and Headteacher Karine George, members of the senior team actively developing and using the AI Readiness Framework from which these recommendations derive

Four Golden Rules for Reviewing Your School's EdTech

  • A short blog from Schoolsweek prompting readers to think about the serious questions raised when considering using technology in learning environments

SchoolDash: Pupil's Lockdown Experiences

  • An example of the kind of challenges faced in education during Covid, with a large amount of data to support the observations

AI Systems for Teachers & Learners in School

  • Professor Rose Luckin presents at the Raspberry Pi Computing Education Research seminar, discussing how AI-based analysis can support students

AI Readiness: Step 2 Webinar for Educators/Businesses

  • Two separate webinars introducing Step 2 of the AI Readiness Framework, one targeted toward educationalists, and the other targeted to educational businesses

The Logic Model

  • Developed by EVR senior research and communications staff, this addition to the Byte-Sized EdTech Research library explores a strategic decision-making dashboard for your team: the Logic Model. It is a fantastic tool to get teams together and reach a better understanding of how an organisation demonstrates efficacy and impact with an educational intervention

Evolution of Adaptive Learning in Higher Ed

  • ‘Learning to Adapt 2.0’ is a short paper produced by Tyton Partners presenting findings from interviews with institutions and suppliers. The research includes insights from qualitative interviews with leaders from over 20 institutions about their experiences with adaptive learning, and survey responses from 32 suppliers of adaptive solutions

A Survey of AI Techniques Employed for Adaptive Educational Systems within e-Learning Platforms

  • A short research paper presenting a survey of raised and related topics to the field of AI techniques employed for adaptive educational systems within e-learning, their advantages and disadvantages, and a discussion of the importance of using those techniques to achieve more intelligent and adaptive e-learning environments

AI for School Teachers

  • The complete book on the AI Readiness Framework, specifically for teachers and headteachers in schools. It will help teachers and heads understand enough about AI to build a strategy for how it can be used in their school. Though it is pitched to teachers and contains familiar examples, the approach should still be used by education and training businesses working with technology

AIRC Step 2 Modules
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