Transforming higher education with Generative AI

Overview

This course is for educators, administrators, and educational technologists interested in how GenAI could be used to impact teaching, learning, and governance in higher education and exploring the practical, social and ethical issues. To be successful in this course, you do not need prior experience with GenAI. A basic understanding of higher education teaching or management practices is beneficial. By the end of this course, you will be able to: - Apply theoretical knowledge and practical skills to effectively use GenAI in higher education contexts. - Anticipate and prepare for future GenAI needs in higher education. - Critically assess ethical and practical implications of GenAI in higher education.

Syllabus

Welcome to this course

This module is a very short introduction to the way this course is organised and what you will be doing during the main modules. Please note that in the videos, we generally refer to weeks, suggesting that we think you might like to spend a week thinking about each of the main modules, but you can organise your study as you like. We want you to use this course to think about your own context in higher education, whatever it is. Whilst we use examples throughout to illustrate the course, don't feel constrained by them. Whether you work as a teacher, or in a library, or student support, or admissions, or any other role related to students in higher education, you can still think about the impact of generative artificial intelligence (GenAI) in your own situation.

Week 1: introduction to GenAI in higher education

This week, we are introducing GenAI – what it is, why it matters, and how it is transforming higher education. Even if you have started using GenAI, this module should provide some context about its impact in higher education.