I have just explored AI for video animations. My first attempt is based on one of my recent blog posts on the same topic
The tool I used is called steve.ai.
I have just explored AI for video animations. My first attempt is based on one of my recent blog posts on the same topic
The tool I used is called steve.ai.
My research interests are focused on multimodality through a wide lens. I am interested in how people communicate and make meaning, and how people learn. In this post I have listed some of the networks and seminar series I follow. If you are new to multimodality, this list might be useful.
In the Twitter flow you can find several accounts foused on multimodality.
When Artificial Intelligence [AI] can be prompted to produce text that can pass for being written by a human, and can generate images, or write music, and generate voice and image that ‘impersonate’ a specific person – then we need to reconsider how we teach and assess.
There are many opinions about assessment in education and several positions in research. I am in this post not going to go into any of these, but I do recognise that there are differences. However, regardless of how you see or approach assessments, if you are worried I suggest that you use more than one way to find out about your students’ learning.
It the students’ are writing – add something else as well. This could be a filmed presentation or a discussion in class, or some other form where the student has to apply knowledge in some way that can be traced and evidenced as their learning. There are many ways assessments can be constructed where AI would not be a problem. Why not use ChatGPT as part of an assignment – maybe analyse the resulting text? There is room for creativity here – map the student’s knowledge and learning in multiple ways.
We also need to start thinking about what AI can, as well as cannot, do or be.