Included with the course:
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This course has been designed to provide you and your educational business or organisation with your first AI roadmap that details the next steps you need to take to design and deploy an AI solution for a challenge you are currently facing.
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Learning outcomes for the course:
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To apply the EVR 7 steps AI readiness framework to your organisation
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To start to define challenges within your organisation that could utilise AI
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To use EVR’s data and skillset workshops and diagnostic tools to set some practical next steps for using AI successfully and ethically
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To identify key considerations and questions that must be addressed when using AI ethically
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To describe the potential value that AI could bring your organisation and its stakeholders
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Notes:
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There are 5 workshops with over 25 videos
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Next steps and further reading are provided at the end of the course
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Work your way through the videos for each workshop and complete your AI roadmap as you go. There are prompts and questions to assist you
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Homework and a roadmap template will be provided
Rose Luckin, Professor of Learner Centred Design, UCL, and Founder/CEO of EDUCATE Ventures Research
Sample some of the course:
Workshops:
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Workshop 1: AI Readiness and Generative AI
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Workshop 2: Harnessing the Power of AI in Education and Becoming a Data-Driven Organisation
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Workshop 3: AI Strategy and Skillset
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Workshop 4: AI Development Pipeline
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Workshop 5: AI Deployment, Ethics, and Regulation, and Next Steps
Workshop 2 - Module 6:
Moving from Data to AI
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Assuming that you have a product, like a learning platform, here is a theoretical case study for how to use AI techniques to make the most of the data that you're collecting when users work with your learning tool.
Workshop 3 - Module 2:
AI Strategy in Your Organisation
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Do you know the problems within your organisation that you want AI to solve? Do you have the in-house capabilities to use AI, perhaps through staff training schemes? What is your timescale and budget? These, and more, are key components in an AI Strategy.
Meet your instructors
Morgan Dee, Director of AI & Data Science
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Morgan Dee is the Director of AI and Data Science at EDUCATE Ventures Research. She leads the Data Science team in using data and AI to extract meaningful insights about human learning. She holds a Master's degree in Data Science with AI from The University of Exeter, where she received recognition for her outstanding academic performance. She also trained as a secondary school Physics teacher at the Institute of Education after completing her Master's degree in Astrophysics from The University of Manchester. With a decade of teaching experience spanning across diverse locations including the UK, Nepal, Malawi, Hong Kong, and Japan, Morgan has developed a deep commitment to the ethical use of AI in Education. Her primary goal is to unlock the full potential of every learner, ensuring their growth and success.
Ibrahim Bashir, Technical Projects Manager
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Ibrahim Bashir is a Software Developer currently working as a Data Engineer. Ibrahim is a Fulbright fellow and has a Masters in Computer Science from Louisiana State University. His work in the last 9 years has focused on the intersection of Big Data, Machine Learning and IoT. Once a passionate hobby roboticist, he hasn’t gone near one in years after 9 of the 12 machines he built from scratch for a swarm robotics project wouldn’t play nice and fried their circuit boards.
Dr Madiha Khan, AI & Data Science
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Madiha is passionate about the EdTech sector, and the development of high-quality products which improve access to education. Her combined academic and commercial experience enable her to take an evidence-based, yet commercially astute approach towards supporting her clients.
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Madiha is completing a PhD at the UCL London Knowledge Lab, focusing on the monitoring of co-regulation of learners by human tutors in an online classroom. In parallel to her academic experience, Madiha has over ten years of experience as a strategy consultant, in the EdTech sector amongst others. She has worked closely with educational technology firms, private equity firms and accreditation bodies to develop corporate strategy, reporting at board level.
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Customers who bought this also viewed:
Machine Learning & Human Intelligence: The Future of Education for the 21st Century (2018) - an open-source ebook from Professor Rose Luckin with a framework for the understanding of human intelligence