Resources for Educators, AI, and the Future of Learning Webinars
A Critical AI reading list focused on education and efforts to promote equity in the field.
We all use pedagogies every day, but it may be something we do unintentionally. This is the first of a series of posts and is a little about math and a lot about pedagogy.
A growing trend within NSF projects is teaching students data science. The Ambitious Mashups report included data analysis by exploring data through games and the creation of infographics as well as by focusing on life-relevant data sets.
Read about what we have learned from looking at all the research on emerging technologies for teaching and learning over the past 10 years.
What will educational leaders need to know about AI in support of student learning in order to have a stronger voice in the future of learning, to plan for the future, and to make informed decisions? and What do researchers need to tackle beyond the ordinary to generate the knowledge and information necessary for shaping AI in learning for the good?
In this post, we explore why AI is well-suited for formative assessment.We are still at the beginning of our conversation around AI in Education. What do you think? Do the possible benefits excite you? Do the possible risks concern you?
The educational technology that Merijke brought into her classroom had positive effects, but it also had hidden consequences, most of which she might never know. What would she consider now if she were still teaching? What do you currently consider?
One of my favorite things about our Summer of AI is learning about cyberlearning projects and how they might benefit future students. In this post, I want to showcase three projects that caught my attention because they use AI in different ways and for different ages. When we began in June, I was thinking AI might be mostly about robots in STEM classes or general AIs like Siri or Alexa.
Welcome to the Educator CIRCLS blog!