EDUCAUSE & The Integrative CIO
Sep 17, 2026 · 59 min · 11 segments
This episode explores how institutions are balancing innovation, governance, trust, privacy, and digital literacy while preparing learners for an AI-enabled future. * * * Hosted on Acast. See…
Lance EatonGuest
Michael CatoHost
Sarah BuskaHost
And to your point that this is, it does seem to me that we're in an era that the gen of AI conversations can either strengthen those partnerships or weaken them or reveal the weaknesses that were already there and amplify them, right? Lance, I see you nodding, but for our audience, could you share a little bit about what does a teaching center look like at Northeastern?
Yeah, so I have the privilege to be on a team, which is one of the first times in a lot of this work in a or in a while, I've been able to be on a team.
And so we have, let's see, the math always messes with my mind because I always have to remember myself.
So we have seven faculty developers and one administrative assistant who does so much more than that, I want to be clear.
And we, like, our focus is on teaching and learning The name of the center is the Center for Advancing Teaching and Learning Through Research.
And that's one of the big emphases of how the center was created is really trying to do this with a lens, not just towards what the research is, but also supporting faculty in doing research, particularly scholarship of teaching and learning.
And it's a really interesting team because most of us have some areas of specialization.
When I came on, mine was AI, but obviously I bring background in open pedagogy and OER and lots of those things.
We're doing our best and we think we're doing our faculty well when we are not just the center for teaching and learning and AI.
And it's not because we want to dismiss or, you know... dismiss undermine whatever around ai but it's like all of this is about teaching and learning and we always want to make sure that's front and center and that we have faculty to to jenna's point who are you know are along that full spectrum and want to be able to still think about teaching and learning that isn't just ai and so one way where we're working with that and thinking about that is For the first two years, there was a lot of direct AI workshops, and now it's a lot of workshops in programming where we're doing a lot of the pedagogical things that we think are important, and there may be a space carved out for AI in it, just like we often had to do with the LMS and other types of things.
And here's a technical, sometimes a technical or a piece that you want to keep in mind if you're interested in this part of whatever the topic is.
And it's interesting, I caught some of the themes I'm hearing from both of you is the idea of the partnerships, the collaboration.
conversations on AI are in service of teaching and learning as opposed to the other way around.
And to your point that this is, it does seem to me that we're in an era that the gen of AI conversations can either strengthen those partnerships or weaken them or reveal the weaknesses that were already there and amplify them, right? Lance, I see you nodding, but for our audience, could you share a little bit about what does a teaching center look like at Northeastern?
Yeah, so I have the privilege to be on a team, which is one of the first times in a lot of this work in a or in a while, I've been able to be on a team.
And so we have, let's see, the math always messes with my mind because I always have to remember myself.
So we have seven faculty developers and one administrative assistant who does so much more than that, I want to be clear.
And we, like, our focus is on teaching and learning The name of the center is the Center for Advancing Teaching and Learning Through Research.
And that's one of the big emphases of how the center was created is really trying to do this with a lens, not just towards what the research is, but also supporting faculty in doing research, particularly scholarship of teaching and learning.
And it's a really interesting team because most of us have some areas of specialization.
When I came on, mine was AI, but obviously I bring background in open pedagogy and OER and lots of those things.
We're doing our best and we think we're doing our faculty well when we are not just the center for teaching and learning and AI.
And it's not because we want to dismiss or, you know... dismiss undermine whatever around ai but it's like all of this is about teaching and learning and we always want to make sure that's front and center and that we have faculty to to jenna's point who are you know are along that full spectrum and want to be able to still think about teaching and learning that isn't just ai and so one way where we're working with that and thinking about that is For the first two years, there was a lot of direct AI workshops, and now it's a lot of workshops in programming where we're doing a lot of the pedagogical things that we think are important, and there may be a space carved out for AI in it, just like we often had to do with the LMS and other types of things.
And here's a technical, sometimes a technical or a piece that you want to keep in mind if you're interested in this part of whatever the topic is.
And it's interesting, I caught some of the themes I'm hearing from both of you is the idea of the partnerships, the collaboration.
conversations on AI are in service of teaching and learning as opposed to the other way around.
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