Skip to main content
Lydia Logan

Lydia Logan

Oct 10, 2026

24:30
So what is it that AI literacy looks like for today's educators, and what do we need to jump on more?
24:38
Sure.
24:39
Well, our program will have participants getting access to AI learning, to credentials, to expert facilitators and capstone projects that they can put into practice in their, in their district.
24:53
So how are they using technology responsibly and effectively in the context of their- ... role.
25:01
It may be as an educator thinking about automating things like lesson planning.
25:07
They've got the expertise, but often the administrative tasks are what take up a lot of time that limit the amount of time they're spending with their students or even planning with their peers.
25:20
So if you think about what's the low-hanging fruit, administrative burden is often what burns out teachers.
29:07
Uh, tell me really quick about that, and how do some of these leaders, uh, l- take part of it?
114:48
Right.
114:49
That's right.
114:50
That's right.
114:51
So it is moving quickly.
114:53
And I think the primary difference with this technology, with AI and generative AI and predictive analytics, et cetera, is the pace of adoption.
115:03
And that's where we're seeing the gap in adoption.
115:06
in keeping up, right? Only 24% of educators and 16% of parents believe the US education system is adapting very well to advances in AI.
119:22
And while they already are embracing this technology and what it will look like, because, you know, I think one of the things that people want to know, Lydia, is what does successful integration look like?
speaker_3ADVERTISER
7:26
Find your local club and be part of what's next
7:29
... committee is clear about what the guidelines are.
7:34
77% of parents want input into how AI is used in their child's classroom, yet only 20% clearly understand the guidance their child receives.
7:46
So we know there's a gap in understanding there, and that may be because some schools don't have those policies in place.
7:52
How are they protecting student information? What are the acceptable use cases in learning? Um, what kinds of information do you need to share? How transparent are you about which models and which tools, which AI tools are being offered to students? And making sure students understand things like not putting home addresses and not putting their names into a, um, an open source, uh, large language model where they may be sharing information that they shouldn't.
8:24
So all of these kinds of, um, rules about what's used, how it's used, what transparency looks like, that's the starting point, and then starting to think about things in context.
8:36
Yeah.
8:37
How do students start to gain experience using the technology to further their learning? Planning projects or doing research, but also pressure testing this technology, making sure they're not just taking the answers and using them, but really using their critical thinking skills, their communication skills to question the technology and the answers they get.

We value your privacy

We use cookies to understand how you use our platform and to improve your experience. Click “Accept All” to consent, or “Decline non-essential” to opt out of non-essential cookies. Read our Privacy Policy.