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Pete Hall: Welcome to the Transformative Principal.
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I am so excited to share this interview from ISTE 2026 with you.
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Really fascinating things happening there.
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Lots of great people, and over the course of the next couple weeks, you're gonna hear some of these great interviews.
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Hope you enjoy, and thanks for listening to Transformative Principal
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Jethro D. Jones: All right, Kevin Donahue at
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ESTE.
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you,
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have a background in Catholic schools, and then go from there.
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Kevin Donahue: Yeah.
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So I, I've been a
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teacher and
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principal in Catholic schools on both coasts, Los Angeles and
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Boston.
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So I entered school
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leadership twenty-sixteen, twenty-seventeen with… We had a principal residency
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program.
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Mm-hmm.
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So modeled on the idea of a
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medical residency,
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and especially in our Catholic schools,
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we don't often have the resources to
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have a full-time VP or AP or
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And so the program,
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through generous funders, uh, the Smet
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Foundation,
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uh gave
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five of us a year to be that-
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assistant principal.
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Resident
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principal was our title.
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And so I spent a year in
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another
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school seeing their systems.
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We did additional reading and training,
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and then entered the job pool in
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the Archdiocese of Los Angeles, the rest is
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Jethro D. Jones: That's awesome.
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And how many schools are in the
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Archdiocese
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of Los Angeles?
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Kevin Donahue: So, in
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Catholic school terms, we are the largest archdiocese in the country.
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Um, about elementary schools.
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About another 50 to 60 high schools.
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So you're talking over 50,000
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students- across-
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Jethro D. Jones: all of LA
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Yeah, Yeah, that's huge.
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That's amazing.
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Yeah.
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and do you know John Maholio?
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yeah.
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Okay, good.
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Have you been on his show yet?
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Kevin Donahue: I have not been on John's show.
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So I currently, I work
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for FACTS Education Solutions, and John is
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actually one
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of our coaches,
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so.
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Oh, is
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he?
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Um,
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yeah, and fantastic, fantastic in both the public school and
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the Catholic
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School
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Jethro D. Jones: just a little plug for his show, Catholic School Leaders Podcast.
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If anybody's listening and hasn't seen that one, it's a good one,
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Kevin Donahue: good one.
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I I, recommend it to I Yeah … especially those in the Catholic school space, but I think increasingly in other spaces too, a lot of what a private school
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leader has to do is, is falling more and more on public school and charter
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school
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Jethro D. Jones: Really interesting.
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So, talk to us about,
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um, you're here presenting about AI in PLCs.
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Tell me about that.
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What does that look
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like?
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Kevin Donahue: Yeah.
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So over the last two years, I've been blessed
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through FACTS to do a lot of presentations on AI, and I
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think we're now entering that time
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where it's not, what is AI or
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"Give me the basics," but it's how do I make this work
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for me?" Mm-hmm.
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And I think AI is one of those
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tools where,
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especially when it comes to our PLCs, there's an opportunity to take some stuff off of our
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plates- Yeah
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so that we can focus around those, those four big questions and really kind of pursue
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Jethro D. Jones: Um- So what does that look like day-to-day, though?
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Because, we're gonna-- We'll address privacy and
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putting kids' data in there and all that, but what does that look like to
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you?
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Kevin Donahue: So we, I was supposed to lead an hour-long session.
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We had
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about 150-
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Oh, nice.
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teachers, leaders in
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there, big crowd.
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Um, of walking
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I kind of
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see five opportunities to
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plug AI in.
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So kind of first
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off, especially for summer months, is that idea of planning,
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Um, having AI take a look at everyone's schedules, everyone's energy levels, being part of that
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prompt too, and saying, "Okay, when's the best time for us to
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meet?" Um, and then
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what having AI kind of plug in as agenda creator,
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as question asker, so that when you're coming to
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it, um, when you're even forming those norms and
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those root beliefs, which you really should do at the beginning of the
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year, having AI be the moderator of
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that conversation so that there's a little less maybe,
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uh, thumb on the, on the, on the questions that,
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you know, one teacher's taking the lead teacher's or, something like that.
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It kind of frees up the conversation.
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Jethro D. Jones: Yeah.
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and that's an interesting role for the, for the AI to take as a moderator.
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How else do you--
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What else is valuable
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about that
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Kevin Donahue: So, um, I think where you really see that
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extension is, is when you're moving into
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the school year, and I think especially, again, coming from a, a private school background where our PLCs tend to be smaller across the
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grade levels, where you might not have all
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the instructional resources of a larger
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district or school,
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um, is AI as
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an
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expert, right?
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Or AI as a, as a
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gap So I-- The, the joke I made during our presentation
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was if you have, a, PLC where emotions run a little bit
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high, maybe you're bringing AI as a moderator that keeps the temperature low.
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Uh, if you're a PLC where there isn't expertise in English language learning or supporting students with ADHD or dyslexia, maybe AI is that voice around
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the table so that whatever you-- After your data analysis, after your questions, even during your assessment creation, those conversations are having that kind
of expertise brought to the table, you know, through, through the you know prompting with the, r- with the right guidelines and guardrails around that, for sure.
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Yeah.
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Jethro D. Jones: uh, So,
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ISTE, ASD released, at this conference the Stretch AI.
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they're gonna release it tomorrow.
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But it's embargoed till then.
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But this won't go out
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till then.
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Yeah.
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Uh, so they're-- they released Stretch AI, which is
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their, their chatbot that allows you to use their resources from ISTE and ASCD to say what best practices look like and things like that, and they've trained it on their stuff.
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So
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w- what
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I see is that for most people,
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what the AI has already is good enough.
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Yeah.
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Um, and they don't feel the need to
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go
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that deep.
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Is that your impression also, or do you think something like Stretch AI is really
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that valuable that it'll be used enough for it to be meaningful?
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Kevin Donahue: it to
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be
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meaningful?
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I think there's a good-- That's a really good
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question.
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Um, in this morning's session that I
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was leading, one of the things we talked about was whatever AI
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you're using, right, having that project or that folder or that,
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um, notebook, depending again
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on Gemini versus Copilot versus, you
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know, ChatGPT,
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um, so that you are at least including your own
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resources, right?
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And that might be old agendas, chat conversations, whatever.
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So I think if there's an opportunity to load in some expertise to make
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sure those conversations are aligned
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with broader school goals or district goals, I think that's a
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real positive.
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Whether or not that is coming directly from the ISTE ASCD world, it's kind of a different question.
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Yeah.
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Um, you know, I think there are a lot of
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you
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and schools out there that
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would be grateful to have those resources as part of, you know, the background
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information, right?
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And this, and this is where like a tool where NotebookLM I think is so valuable
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is is by ne- being able to choose those sources,
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you can kind of refine the output and get what
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you're looking for.
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But I think for most PLCs,
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they're, they rightly should be more focused on kind of their students in that aspect.
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Jethro D. Jones: so when you say being a,
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a,
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a, another member of the PLC, what does that look like in practice?
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Walk me through what that would look like.
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Are we doing
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a voice AI?
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Are we having them be part of the conversation?
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The AI likes to interrupt a lot, so that may not be the best, but what's your thought there?
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Kevin Donahue: So we, we had a great conversation about this.
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One table mentioned, you know, do you start
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know,
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with
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analysis and then have AI kinda come in?
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What did we miss?
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Or do you have AI start the conversation, and then
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we cr- either critique or add onto or
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replace what AI is saying?
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And so I think there's benefits on both sides.
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Um, we definitely don't wanna do is either cognitively offload all our data analysis, just like our students tend to do,
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right, um, to the AI.
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Nor at the same time do we want to, um, kinda question everything, right?
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We wanna see it as
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an add-on, not a
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replacement for.
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And so,
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um, I think kinda when it comes
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down to it at the end of the
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day
is,
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is using that voice
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mode in an agreed-upon kind of norm-centered way in that conversation
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I think is
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most helpful.
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And being thoughtful and considerate of am I providing the right context to the
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AI in my prompting or in the documents I've uploaded?
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And am I also
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bringing the right
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critical lens when we do get that
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feedback from the AI?
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So that's not taking over the meeting, but
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again, it, it's adding another perspective, possibly reinforcing the skills that we might lack, um, and ultimately
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improving student
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outcomes.
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Jethro D. Jones: and so let's talk a little bit about the student data and things like that.
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how do you keep that from being, uploading everything to NotebookLM with all your student information?
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'Cause that's not what we do.
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Kevin Donahue: 100%.
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And that was important
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thing that I've tried to bring up
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repeatedly in this session because, once you give it to the AI, the company's got it, right?
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Um, a lot of great vendors here,
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and that's the reality of kind
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of the age we're, we're living in.
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They're giving you something for free, and what they're taking from you is your
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data.
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Yeah.
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So, I always
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stress go through your, you know, your Excel documents, Word documents, whatever you're including.
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And
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again, we need to be careful around agendas.
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Are we mentioning student names?
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If we are using an AI note-taker in our meetings, I mentioned Granola during the session,
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um, are we making sure that that's removing student names
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as well?
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'Cause that's identifiable information.
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so names, birth dates, addresses.
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And again, it, it could come down to something as simple as
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I have 24 students in my class.
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They're A through
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Y, A through
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X, and just kind of plugging that
in so that we know student M is Kevin
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Donahue, um, but the AI
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Yeah.
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Right?
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And then we can still get some
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outcomes like, oh, student M really needs extra support with these
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standards, or maybe we can create an assessment to measure their particular progress over a particular
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time period.
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But, we definitely don't wanna submit that kind of personal identifiable
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information to, to an AI.
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Jethro D. Jones: Yeah.
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One of the things that I did when AI first came
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out, or rather when ChatGPT first came out, is I would,
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uh, I had a script in Google Sheets that would change everybody's name to something else.
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Yeah.
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And then I just had to remember, map that back to who they were.
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And I, kept a list so I would know.
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But, but that really made
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it a lot easier that I didn't have to worry about putting
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specific student information in.
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Unless, of course, somebody figured out who the, who those fake names were and tying them back to the real names.
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But, little safeguards like that are worth the extra effort to make sure that our
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students' privacy is
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protected.
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But beyond that, there are other things that you can do,
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like give
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them,
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like not usernames and just say this particular student.
00:10:04.350 --> 00:10:08.420
just l- give the AI their data only and not any of their personal information.
00:10:08.470 --> 00:10:09.530
and then you can set up,
00:10:09.590 --> 00:10:15.370
um, skills and stuff where the AI will know what to do with the information that it has once it has it
00:10:15.410 --> 00:10:18.140
and you can analyze each student very
00:10:18.140 --> 00:10:18.630
quickly.
00:10:19.090 --> 00:10:24.184
Um I had another question that I was gonna ask you about the cognitive offloading.
00:10:25.121 --> 00:10:30.604
what did you-- where do you sit on the start with the data and human analyze it, or have the AI start with
00:10:30.604 --> 00:10:30.774
it
00:10:30.846 --> 00:10:31.102
Kevin Donahue: it?
00:10:31.102 --> 00:10:33.272
Yeah, that's a great question, and it, it comes up often when I'm
00:10:33.272 --> 00:10:35.622
doing AI PD just right?
00:10:35.652 --> 00:10:37.542
Oh, can AI do my grading for me?
00:10:37.572 --> 00:10:38.612
That's what I spend so much time
00:10:38.612 --> 00:10:39.182
on, right?
00:10:39.392 --> 00:10:40.532
Um, as a principal as
00:10:40.532 --> 00:10:41.552
a parent, I'm
00:10:41.552 --> 00:10:43.652
not really the idea of an AI doing all the grading.
00:10:44.022 --> 00:10:46.742
Um, I think or teachers need to be looking at
00:10:46.742 --> 00:10:47.652
the data, right?
00:10:47.872 --> 00:10:49.152
And it's part of building a relationship
00:10:49.152 --> 00:10:49.732
with students.
00:10:49.742 --> 00:10:50.122
It's part
00:10:50.122 --> 00:10:52.202
of guiding them helping them grow, seeing their
00:10:52.202 --> 00:10:53.052
gaps ourselves.
00:10:53.392 --> 00:10:56.252
So I, I come down on the, I think humans should look
00:10:56.252 --> 00:11:00.032
at it first, and then AI is there for those things Um,
00:11:00.050 --> 00:11:03.072
Right if talking now a little bit about grading,
00:11:03.072 --> 00:11:06.270
maybe more than a PLC conversation, AI us correct our own
00:11:06.270 --> 00:11:07.070
biases, right?
00:11:07.080 --> 00:11:08.140
Like, we know these kids.
00:11:08.140 --> 00:11:08.570
We see them
00:11:08.570 --> 00:11:09.040
every day.
00:11:09.050 --> 00:11:09.070
Yeah.
00:11:09.560 --> 00:11:10.330
I've had those kids in
00:11:10.330 --> 00:11:10.580
class
00:11:10.580 --> 00:11:11.460
that- Yeah
00:11:11.460 --> 00:11:12.220
I love a lot.
00:11:12.220 --> 00:11:12.750
There's no way Johnny wrote this.
00:11:14.644 --> 00:11:14.800
Yep.
00:11:14.840 --> 00:11:15.220
And,
00:11:15.260 --> 00:11:19.480
um, you know, showing preferential treatment or the opposite of that,
00:11:19.770 --> 00:11:23.710
negative treatment to a particular student for whatever human reason I might have that
00:11:23.710 --> 00:11:26.940
day, um, AI can look at and say, "Hey, you know, you're being a little harsh
00:11:26.948 --> 00:11:27.980
here when it comes
00:11:27.980 --> 00:11:28.520
to the grading."
00:11:28.780 --> 00:11:30.190
Um, I think that same thing can be
00:11:30.190 --> 00:11:31.530
happening on PLCs, right?
00:11:31.760 --> 00:11:35.450
We talked about in our session that when we're looking at the
00:11:35.450 --> 00:11:39.910
data, sometimes as teachers, we're quick to make excuses like, "Oh yeah, that was the day we had that
00:11:39.910 --> 00:11:41.390
school assembly, so that's why our
00:11:41.390 --> 00:11:41.700
scores
00:11:41.700 --> 00:11:44.710
are low." Or, "Johnny's having a really tough day that day.
00:11:44.710 --> 00:11:45.160
That's why he
00:11:45.160 --> 00:11:50.720
didn't score so well." Um, we might be quick to make that excuse, but if we're bringing in AI
00:11:51.080 --> 00:11:52.590
as focus on that kind of quantitative
00:11:52.590 --> 00:11:57.590
side, it can be maybe a little bit more honest before we apply some of that teacher personal
00:11:57.590 --> 00:11:58.120
interpretation
00:11:58.120 --> 00:11:58.858
of the data lens.
00:11:59.522 --> 00:12:00.942
Jethro D. Jones: Now, I am of the
00:12:01.542 --> 00:12:02.692
pretty strong opinion
00:12:02.772 --> 00:12:07.542
that it is totally fine for AI to grade, but AI should not be giving
00:12:07.542 --> 00:12:08.112
feedback.
00:12:08.312 --> 00:12:08.402
Yeah.
00:12:09.152 --> 00:12:09.542
that's fair
00:12:09.542 --> 00:12:10.442
So that's how I would say
00:12:10.442 --> 00:12:10.652
that.
00:12:10.672 --> 00:12:13.622
And the thing is that a grade to me
00:12:13.802 --> 00:12:16.312
implies right or wrong, you get it or
00:12:16.312 --> 00:12:20.322
you don't, and that's a binary thing that an AI can do a pretty good job at.
00:12:20.802 --> 00:12:25.182
Giving feedback, which is more delicate and needs more nuance and needs
00:12:25.192 --> 00:12:34.102
more, "I understand the kid, and I want to give them good information to help them improve in this area," that to me needs to be the human doing that.
00:12:34.112 --> 00:12:34.462
What's your
00:12:34.462 --> 00:12:35.032
take on that?
00:12:35.266 --> 00:12:35.796
Kevin Donahue: Jethro, I think
00:12:35.796 --> 00:12:36.706
that's, that's like a
00:12:36.706 --> 00:12:38.066
great right?
00:12:38.106 --> 00:12:39.546
And especially if we're looking at something,
00:12:39.566 --> 00:12:41.396
You know, we've had machines grading
00:12:41.396 --> 00:12:42.416
Scantron forms for
00:12:42.416 --> 00:12:42.602
years.
00:12:42.670 --> 00:12:43.280
Jethro D. Jones: the, that was the
00:12:43.598 --> 00:12:43.850
was was
00:12:43.850 --> 00:12:44.330
gonna give.
00:12:44.330 --> 00:12:48.450
Like, that w- that would be dumb to have a teacher do that.
00:12:48.490 --> 00:12:53.990
And an LLM can handle things that are more advanced than a bubble sheet.
00:12:54.050 --> 00:12:58.290
And so if that's the case, yes, we should take advantage of that technology.
00:12:58.290 --> 00:12:59.380
I've said for a long time
00:12:59.380 --> 00:13:07.890
that if an, if a computer can do the job better than a human, that computer definitely should do that job so that the human can do the other jobs that the computer
00:13:07.890 --> 00:13:08.380
can't do.
00:13:08.884 --> 00:13:10.024
Kevin Donahue: Yeah …But I think you're right.
00:13:10.034 --> 00:13:12.474
At the same point, that, that feedback point where we do know the
00:13:12.474 --> 00:13:14.654
student, we're seeing kind of what's happening every time.
00:13:14.944 --> 00:13:15.404
I mean, this
00:13:16.138 --> 00:13:16.338
this
00:13:16.434 --> 00:13:18.364
to me a lot of that conversation around standardized
00:13:18.384 --> 00:13:19.234
testing, right?
00:13:19.404 --> 00:13:20.624
And I always would tell parents as a
00:13:20.624 --> 00:13:23.134
school leader, you know, you're seeing your child each and
00:13:23.134 --> 00:13:25.104
every day, but you should take them to the doctor for a
00:13:25.104 --> 00:13:27.234
checkup once a year to make sure they're growing properly,
00:13:27.234 --> 00:13:27.694
they're getting their
00:13:27.694 --> 00:13:28.264
nutrients and their
00:13:28.264 --> 00:13:29.064
vitamins," right?
00:13:29.384 --> 00:13:32.254
As teachers, we're seeing our kids every day, but we want that
00:13:32.254 --> 00:13:36.334
standardized test to just kind of assess unbiasedly against a national norm
00:13:36.564 --> 00:13:36.934
how are they
00:13:36.934 --> 00:13:37.204
doing.
00:13:37.214 --> 00:13:37.234
Yeah.
00:13:37.684 --> 00:13:45.184
Um, I think when we're giving that feedback every day, whether it's informal or formal, whether it's formative or just informative,
00:13:45.544 --> 00:13:51.134
um, summative, I think it's, it's important that the students or that the student and the teacher are building that
00:13:51.134 --> 00:13:53.174
relationship together, and that it is kind of going back and
00:13:53.174 --> 00:13:53.544
forth, right?
00:13:53.544 --> 00:13:57.244
That the, the student's owning his or her learning just as much as the teacher's
00:13:57.314 --> 00:13:57.824
looking at that
00:13:58.244 --> 00:13:58.474
Jethro D. Jones: them, aren't they?
00:13:58.474 --> 00:13:59.134
Yes, absolutely.
00:13:59.154 --> 00:14:01.004
And truly, learning is an
00:14:01.004 --> 00:14:03.554
individualized thing no matter what.
00:14:03.564 --> 00:14:03.584
Yeah.
00:14:03.884 --> 00:14:05.784
And as much as we try to make it
00:14:05.784 --> 00:14:09.464
like, "Here's what we're doing as a class," and doing all this stuff, it really comes down to each
00:14:09.464 --> 00:14:13.754
individual student has their very own learning path that nobody else can influence.
00:14:14.094 --> 00:14:22.814
Two twins can be sitting next to each other, same background, same lifestyle, and same teacher, sitting in the same class, they are gonna get different things out of the class.
00:14:23.184 --> 00:14:25.084
And once we recognize that,
00:14:25.094 --> 00:14:26.774
instead instead of thinking
00:14:26.774 --> 00:14:30.690
that- Just because I say something as the teacher, all the kids are
00:14:30.690 --> 00:14:31.450
going to get it.
00:14:31.800 --> 00:14:33.420
Once we recognize that every individual
00:14:33.420 --> 00:14:37.450
path is-- every learning path is individual, then we have
00:14:37.450 --> 00:14:38.090
this opportunity to
00:14:38.090 --> 00:14:39.910
say, "All right, what can we do?
00:14:39.910 --> 00:14:41.390
What do we need to do as the
00:14:41.390 --> 00:14:47.040
teachers to help them with this and help them learn and grow?" And that's really where it comes back to the
00:14:47.040 --> 00:14:47.910
PLC question.
00:14:48.310 --> 00:14:49.410
There was a point, everybody.
00:14:49.650 --> 00:14:51.410
It comes back to that, that,
00:14:51.420 --> 00:14:55.450
the question is: What are we gonna do when these kids get it, and what are we gonna do when they don't
00:14:55.450 --> 00:14:55.790
get it?
00:14:55.860 --> 00:14:56.060
Right.
00:14:56.120 --> 00:14:57.040
And- Three And- four.
00:14:57.100 --> 00:14:57.460
Yeah.
00:14:57.521 --> 00:14:58.410
what is the whole point?
00:14:58.420 --> 00:15:02.710
And I, I believe that an AI can really help in that
00:15:02.750 --> 00:15:07.740
arena of customizing things- individualizing it, and making our jobs
00:15:07.760 --> 00:15:13.620
as teachers a lot easier in that regard, but not take away the human things that we've got to still be doing.
00:15:13.938 --> 00:15:14.008
Kevin Donahue: that we've got
00:15:14.008 --> 00:15:14.048
to still be doing.
00:15:14.048 --> 00:15:14.058
Right.
00:15:14.058 --> 00:15:14.328
Right.
00:15:14.348 --> 00:15:17.088
And I think it really comes down to it's another tool in
00:15:17.088 --> 00:15:19.708
the tool belt for those kind of tier two, tier three,
00:15:20.008 --> 00:15:21.868
um, adjustments that we might
00:15:21.868 --> 00:15:22.288
make, right?
00:15:22.288 --> 00:15:25.418
For those students that need an extra challenge or those students that need an extra support.
00:15:25.688 --> 00:15:26.228
you know, I--
00:15:27.103 --> 00:15:28.578
It's a teacher pay teachers for free, right?
00:15:28.598 --> 00:15:29.108
It's, It's,
00:15:29.108 --> 00:15:32.278
those resources that you maybe have struggled as a teacher to either find or
00:15:32.278 --> 00:15:34.778
create that aren't coming from your curriculum,
00:15:34.778 --> 00:15:35.858
that aren't personalized to your
00:15:35.858 --> 00:15:36.284
kids.
00:15:37.168 --> 00:15:38.098
Now you've got something that
00:15:38.098 --> 00:15:38.868
can help you do that.
00:15:39.238 --> 00:15:39.338
Yeah.
00:15:39.438 --> 00:15:40.540
Um, starting as A
00:15:40.540 --> 00:15:42.080
fifth grade teacher, inner city LA.
00:15:42.080 --> 00:15:42.310
A
00:15:42.580 --> 00:15:44.770
lot of my students were way below grade level on reading.
00:15:45.390 --> 00:15:47.860
Most phonics readers are not made for fifth grade
00:15:47.860 --> 00:15:48.264
boys.
00:15:49.010 --> 00:15:49.380
You know, Or
00:15:49.380 --> 00:15:50.140
fifth grade girls.
00:15:50.160 --> 00:15:52.540
And so I would sit there trying to adapt material
00:15:52.590 --> 00:15:52.700
to
00:15:52.700 --> 00:15:54.520
their grade level, and now I think to
00:15:54.520 --> 00:15:56.880
myself, "Oh my gosh, a tool like Project Read, a
00:15:56.880 --> 00:15:58.860
tool like Google Gemini," right?
00:15:58.880 --> 00:15:59.510
I can-- I
00:15:59.510 --> 00:16:02.700
could create a reader that would teach the phonic skills that my fifth graders
00:16:02.700 --> 00:16:06.480
would need, but at their, at their interest level based upon the topics they care
00:16:06.480 --> 00:16:06.720
about.
00:16:06.750 --> 00:16:08.704
And I, I… That to me is just
00:16:09.770 --> 00:16:10.570
a solution
00:16:10.940 --> 00:16:12.760
that I wish I had, you know, in a time machine fifteen
00:16:12.760 --> 00:16:12.940
years
00:16:13.006 --> 00:16:13.966
Jethro D. Jones: Yeah, totally.
00:16:13.986 --> 00:16:14.366
Yep.
00:16:14.606 --> 00:16:19.436
I think about myself as a teacher, how much different it would've been if I had access to these tools.
00:16:19.756 --> 00:16:20.576
would I be better?
00:16:20.616 --> 00:16:21.186
I hope so.
00:16:21.386 --> 00:16:22.226
But I don't know.
00:16:22.396 --> 00:16:25.616
I'm certainly much better at the things I try to do today because of AI, that's
00:16:25.616 --> 00:16:26.096
for sure.
00:16:26.396 --> 00:16:31.096
So before I ask my last question, which you know what's coming, what is, How can people get in touch with you?
00:16:31.096 --> 00:16:32.066
How can they learn from you?
00:16:32.450 --> 00:16:32.770
Kevin Donahue: Sure.
00:16:32.821 --> 00:16:34.720
more than happy to share the presentation.
00:16:34.720 --> 00:16:35.790
We had sample prompts.
00:16:35.790 --> 00:16:36.120
We had some
00:16:36.120 --> 00:16:36.400
work,
00:16:36.450 --> 00:16:36.700
work
00:16:36.700 --> 00:16:37.100
time.
00:16:37.432 --> 00:16:39.400
work reach me via email
00:16:39.410 --> 00:16:41.110
or, um, LinkedIn, Twitter, all
00:16:41.110 --> 00:16:41.880
those places.
00:16:42.050 --> 00:16:46.790
My email is kdonohue, K-D-O-N-O-H-U-E, not, not like
00:16:46.790 --> 00:16:47.210
Phil.
00:16:47.240 --> 00:16:47.260
Yeah.
00:16:47.380 --> 00:16:51.608
at facts, F-A-C-T-S-M-G-T.com, Facts Management.
00:16:51.746 --> 00:16:52.766
Jethro D. Jones: Okay, excellent.
00:16:52.986 --> 00:16:58.476
So what is one thing that a principal should do this week to be a transformative principal like you?
00:16:58.920 --> 00:17:00.660
Kevin Donahue: I think the number one thing I always say is,
00:17:00.660 --> 00:17:00.840
is,
00:17:00.840 --> 00:17:00.970
just
00:17:00.970 --> 00:17:01.450
keep learning.
00:17:01.460 --> 00:17:01.480
Yeah.
00:17:01.780 --> 00:17:05.978
Like, there's so much, especially here at ISTE, but honestly, online podcasts.
00:17:06.016 --> 00:17:06.566
Jethro D. Jones: Let's go.
00:17:07.500 --> 00:17:07.520
Kevin Donahue: Yeah.
00:17:07.520 --> 00:17:07.580
Let's go.
00:17:07.700 --> 00:17:08.310
YouTube, newsletters.
00:17:08.370 --> 00:17:09.860
It, it's we are in a golden age
00:17:09.870 --> 00:17:14.310
for learning, and when you put AI on top of that and the ability to give AI a topic and
00:17:14.320 --> 00:17:16.350
have it teach You You know, I've had Claude
00:17:16.640 --> 00:17:17.850
teach me Claude, right?
00:17:18.150 --> 00:17:22.350
Um, in the session today, "Hey, Gemini, help me do this," and help the teacher do it right
00:17:22.350 --> 00:17:22.570
there.
00:17:22.570 --> 00:17:24.010
So, um, just keep learning.
00:17:24.132 --> 00:17:25.052
Jethro D. Jones: Yep, that's right.
00:17:25.312 --> 00:17:26.322
I totally support that.
00:17:26.412 --> 00:17:28.942
Kevin, thank you so much for being part of Transformative Principal today.
00:17:28.942 --> 00:17:29.092
It was
00:17:29.092 --> 00:17:29.462
awesome.
00:17:29.512 --> 00:17:29.722
Thank