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Generative AI in Higher Education

Understand the capabilities and limitations of generative AI to cope with its challenges and harness its potential for education, with this online course from King’s College London.

Duration

2 weeks

Weekly study

3 hours

100% online

How it works

Unlimited subscription

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Learn how generative AI could transform teaching, learning, and assessment

From the arrival of chatbots like ChatGPT to the spread of uncannily convincing AI-generated images, we are seeing increasingly dramatic advances in the development of artificial intelligence. Higher education is just one of many sectors set to be impacted by the changes.

On this two-week course from King’s College London, you’ll review the latest developments in generative AI. As you investigate the potential uses and limitations of GenAI tools, you’ll prepare for the future of higher education.

Explore the capabilities, limitations, and ethics of AI

You’ll start the course with an overview of generative AI. You’ll examine the technology behind chatbots and image generators, and learn about their main capabilities and limitations.

You’ll also debate ethical and environmental concerns around AI.

Understand the potential impact of AI in education

Once you’ve explored the potential of generative AI, you’ll home in on its specific impact on higher education.

You’ll learn how generative AI tools could transform the way we teach, learn, and evaluate students, potentially threatening academic integrity but opening up new opportunities to improve educational practices.

Consider the wider influence of AI on the job market

Last but not least, you’ll consider the impact generative AI is having on the employment landscape.

You’ll investigate the emergence of new roles and erosion of others, discussing how courses and curricula should evolve to meet the needs of the new job market.

By the end of the course, you’ll have the knowledge you need to take on the future of artificial intelligence.

Week 1
What can and should we do with generative AI?
- Welcome
  In these introductory steps, you will learn about the structure of the course and meet your Lead Educators. You will also have the opportunity to introduce yourself to other learners on the course.
- Activity 1: Grasping the basics of AI and generative AI
  This activity provides you with some general context regarding AI and generative AI, including some key definitions. You will examine how these technologies emulate human intelligence, and learn about some of the tools available.
- Activity 2: Identifying capabilities and limitations
  In this activity, you will explore what generative AI tools do well, and also recognise some of their limitations. An examination of prompt engineering will help you understand how to get the best outputs from these tools.
- Activity 3: Ethics, access and sustainability
  This activity addresses key ethical, social and environmental considerations regarding generative AI in education. At the end of the activity, you will discuss whether you think the benefits of these tools outweigh the risks.
- Reflecting on Week 1
  In these concluding steps, you will share your reflections from the week, quiz yourself on some key themes, and prepare for Week 2.
Week 2
The impact of using generative AI in education
- Welcome to Week 2
  Here you will learn about the structure of Week 2 and prepare to apply what you have learned in Week 1 to specific higher education contexts.
- Activity 4: AI in teaching and learning
  In this activity, you will explore how generative AI is being used to enrich teaching and learning. You will learn how to apply the PAIR framework for using AI in education, and discuss whether AI could ever replace teachers.
- Activity 5: Understanding AI in assessment and evaluation
  This activity addresses the implications of AI for assessment and feedback in higher education. You will learn about the importance of critical AI literacy, and discuss the challenges of detecting GenAI outputs.
- Activity 6: AI and its impact on employment and society
  This activity looks more broadly at how AI is creating new job roles and changing existing ones. You will reflect on how inclusive careers education and interdisciplinary curricula can tackle some of the emerging challenges.
- Reflecting on Week 2
  In these concluding steps, you will share your reflections from the week and quiz yourself on some key themes. Finally, you will reflect on the whole course and share some actions you will take to develop further in this area.