BYTE 0: Welcome to Introducing Creativity for Teaching and Learning

In this byte of information you will:

  1. Identify the terminology used in Curiosity 2 Create’s Knowledge Blocs
  2. Recognize the design of each information byte

Matthew (Designer): Hello, my name is Matthew Worwood, and I’m the subject matter expert and learning designer who created this knowledge pod. 

Makada (Avatar): And my name is Makada, I am a video avatar that will provide you with information about Generative AI and how you can use it to support creative thinking in your classroom. 

Matthew (Designer):  Now this course is designed with a focus toward Large Language Models like Chat GPT, which is a subset of the larger Generative AI technology. 

Makada (Avatar): My role is to share information that Matthew has created for this course through introductory videos that beginning of each unit, which we refer to as a Byte of Information”

Matthew (Designer): After you have watched the video, you will participate in a learning activity and complete a short quiz to test your knowledge of the information byte that was shared to you through Makada. 

Now this course was designed for educators who are still new to platforms like ChatGPT, and want to explore their capabilities in enhancing creativity in the classroom. 

The course is arranged in five units, and as Makada said, we refer to units in our knowledge pod as Bytes of information. 

Makada (Avatar): In the first Byte, I will introduce you to generative AI, with a focus toward some of the most popular large language models available to educators.

In the second Byte we will apply divergent and convergent thinking techniques as we explore ways to use large language models to assist us in retrieval practice and testing the knowledge of these platforms to help us generate ideas for learning and activities. 

In the third byte we will use a LLM to design a new learning experience, and in the fourth we investigate how LLMs can help us infuse creative thinking skills into the learning experience. 


Matthew (Designer): And finally, at the end of the course we will apply future thinking skills to predict and consider emerging trends in generative AI and its continued use in teaching and learning environments.

A few items to remember when taking this Knowledge Bloc:

  1. You must remain logged in to save your progress
  2. You will need access to at least one Large Language Model to complete activities in this bloc
  3. You must complete the instructional video before you can move to the learning activity
  4. You must obtain 100% in each quiz to progress to the next byte
  5. You must “mark complete” when you finish each learning activity
  6. You can visit the “support” page for questions about this knowledge pod