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King's College London

AI in Education

King's College London via FutureLearn

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Overview

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Artificial intelligence is reshaping education at an extraordinary pace. Educators and learners around the globe are navigating this new landscape with curiosity, excitement, and caution.

This online course, designed by King’s College London, invites you to explore the opportunities, challenges, and ethical questions AI brings to education.

Discover the wider landscape of AI in education

‘AI in Education’ is a newly reworked course from King’s College London, building on an earlier ‘Generative AI in Higher Education’ course which was developed by Dr Martin Compton, Dr Charlotte Haberstroh and Professor Oguz Acar. The materials have been thoroughly revised, updated, and expanded, including the addition of a new week and a range of ‘try it out’ practical activities.

Understand the foundations of AI in education

Begin your journey with a clear introduction to AI and generative AI. Discover how these technologies work, how they differ from human intelligence, and how they’re being used in real-world educational settings.

Through engaging examples and activities, you’ll explore the potential benefits and risks AI presents for both students and educators.

Debate the dilemmas and risks in AI

Join a global community of learners to discuss the ethical challenges AI brings to education.

Through polls, discussions, and scenario-based activities, you’ll examine roles and responsibilities in different educational contexts and reflect on how AI is shaping your practice and community.

Learn from experts at your own pace

Led by Dr Martin Compton, developed by King’s Academy and designed by King’s Digital, this 100% online course is designed to fit your schedule.

Dive into the future of education and gain the knowledge and confidence to navigate AI’s impact on your career.

This course is for educators, students, and professionals working across all educational sectors. It supports those just beginning to explore AI as well as those already immersed in digital innovation.

Syllabus

  • Where does AI fit in education?
    • Welcome
    • Activity 1: AI in context: definitions, distinctions, tools
    • Activity 2: AI in action: capabilities, constraints, prompts
    • Reflecting on Week 1
  • The impact of using AI in education
    • Activity 3: AI in practice: pedagogy, adaptation, frameworks
    • Activity 4: AI for teaching: assistants, automation, agency
    • Activity 5: AI in assessment: literacy, design, detection
    • Reflecting on Week 2
  • AI in education; AI in life
    • Activity 6: AI unpacked: creativity, copyright, credibility
    • Activity 7: AI in the balance: inclusion, sustainability, resistance
    • Activity 8: AI at work: shaping careers, classrooms, the future
    • Reflecting on Week 3

Taught by

Martin Compton

Reviews

5.0 rating, based on 1 Class Central review

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  • Anonymous
    coherent, on point, loads of useful practival activities, balanced viewpoints, really useful for educators and students at any level

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