EDUCATOR COURSES

AI in Education is a big topic and so discussions about it can’t be exhausted. Also, because it is so emergent, nobody has all the answers. Those answers are emerging in places where you currently are. So, thank you for enrolling in this course!

We are not all on the same page as far as this topic is concerned. Some may be learning the very basics while some may be thinking about bigger issues as far as this topic is concerned. Some of what you will learn, you may already have known them, other parts might be new to you. Wherever you are, have an open mind and be flexible to learn something new at the end of this crash course.

This course will generate more questions than answers. It will be a starting point for you to engage further with your colleagues. It will help you grow personally, make you curious, and responsible when it comes to utilizing AI in teaching and learning.

Course Objectives

By the end of this course,

• You will be able to know core AI concepts and navigate the challenges and opportunities of AI technologies in higher education teaching and learning.
• You will be able to apply prompt-engineering techniques to create, customize, and refine instructional content and learning resources.
• You will be able to design AI-enhanced educational materials and activities that support evidence-based teaching practices and improve student engagements.
• You will be able to critically evaluate AI-generated content and outputs for accuracy, bias, and pedagogical relevance, and to iterate on prompts to enhance output quality.
• You will be able to apply ethical guidelines and professional standards to the use of AI in teaching, addressing issues such as bias, data privacy, academic integrity, equity, and accessibility.

Jump right in!