Generative AI in Higher Education by Futurelearn
Understand the uses and limitations of generative AI to address its challenges and harness its potential for higher education.
Course Highlights
- Summarise how artificial intelligence and generative AI work, emulate human intelligence, and create novel content .
- Describe the key capabilities, limitations, challenges and opportunities of generative AI in higher education teaching, learning, feedback and assessment .
- Discuss the importance of considering social, ethical, inclusivity and sustainability dimensions while utilising generative AI in education .
- Explain the influence of generative AI on the employment landscape, including the emergence of new job roles, and the implications for disciplinary curricula of changing skill requirements.
Skills you will learn!
Curriculum
5 Topics
Welcome
Activity 1: Grasping the basics of AI and generative AI
Activity 2: Identifying capabilities and limitations
Activity 3: Ethics access and sustainability
Reflecting on Week 1
5 Topics
Welcome to Week 2
Activity 4: AI in teaching and learning
Activity 5: Understanding AI in assessment and evaluation
Activity 6: AI and its impact on employment and society
Reflecting on Week 2
Generative AI in Higher Education
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