Latest / Integrate This! Ed Tech Podcast / Gemini in the Classroom: Exploring 2.5 Flash, Pro, and Nano Banana

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Gemini in the Classroom: Exploring 2.5 Flash, Pro, and Nano Banana · Integrate This! Ed Tech Podcast

• 0:00
  Welcome to Integrate This, your go -to EdTech
• 0:03
  podcast where curiosity meets classroom innovation.
• 0:07
  Join your hosts, David Berner and Jeremy Mikla,
• 0:09
  as we explore the rapidly evolving world of educational
• 0:12
  technology. From game -changing tools to insightful
• 0:15
  conversations with today's top EdTech voices,
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  we're here to help educators stay informed, inspired,
• 0:21
  and ready to innovate. So tune in, level up,
• 0:25
  and let's integrate this. Hey, welcome to the
• 0:40
  Integrate This podcast. Today we're going to
• 0:42
  just talk about some of the things that we did
• 0:45
  with Google Gemini based on the updates that
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  they had with 2 .5 Flash or 2 .5 Pro. Jeremy
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  and I spent some time with the tool and did a
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  number of different things. And there's tons
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  of new features that they've added that we feel
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  that educators could take advantage of and have
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  great opportunities for. And so Jeremy and I
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  are just going to talk a bit about what that
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  was like and uh Jeremy what you get started what
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  what did you think overall some of the stuff
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  you did yeah uh It definitely is an advance over
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  where I think the Gemini tool overall was. And
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  I think there's been serious gains in the canvas
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  area, which I know we'll touch on here in just
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  a minute. But I think in particular for me, I
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  think that where I saw kind of like the most
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  impressive improvements is in the image creation
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  area. So I'm going to just like start with that
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  because that's where I want to go to here first
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  is, you know, before when I would use Gemini,
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  to try to create images, it would do great things
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  if people were not in the image. But as soon
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  as you ask Gemini to drop in a human being, it
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  seemed to do really weird things. And sometimes
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  it would even tell you, I can't put real people
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  in there. But now with the release of the 2 .5,
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  and I think especially the 2 .5 flash model,
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  I think Gemini does some things that are now
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  superior than what I've seen. and other large
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  language models and stuff that are focusing on
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  image creation. And it has the best name too,
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  right? Nano Banana. Yeah, the nano banana is
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  just kind of like this code name for it, right?
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  And it's just kind of crazy. But some of the
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  things that I think that it does now really,
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  really well, I think the speed of its creation
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  is greatly improved. I think if I would ask,
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  you know, in in data side by side of Gemini and
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  chat GPT, I think Gemini's with the same prompt
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  Gemini would probably come up much quicker than
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  than what the other models are. are currently
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  at. So the speed is definitely, I think, an important
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  thing. It's very intuitive and understanding.
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  I know when we were playing around with this,
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  I took a picture of David and I, and I uploaded
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  it in and said, OK, I want you to take these
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  two characters here and place them in a boat
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  on the Amazon River with the rainforest and everything
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  around it with snakes hanging from the trees,
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  piranha in the river. and even like a jaguar
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  up in the trees. And it knew exactly where to
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  put everything. It knew and it understood what
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  I meant by rainforest. So it kind of definitely
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  had that kind of feel. So, but that was just
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  like the first picture. Then I asked it to kind
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  of step up and to make another, recreate the
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  image, but put us in like rain gear and rain
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  hats with the sky now full of rain. And it totally
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  took that image and it made those additions to
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  it. really needing to go back to the original.
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  So it kind of kept that consistency through the
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  different images that it developed. I think especially
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  when it came to the characters that were in it,
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  like... David and I, we looked the same. We just
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  were wearing different things, or the scenery
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  around us changed a little bit. But that consistency
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  there was, I thought, really, really cool. And
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  it's definitely a huge improvement. And then
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  the other thing that I would point out is with
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  the images that now are being developed within
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  Gemini, they're watermarking it in that lower
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  right -hand corner with that little Gemini icon.
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  I think to help to draw people's attention to
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  that this was created with AI, that they know
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  they're not being duped and that it's not some
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  sort of a deep fake that you're trying to create.
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  So I think there's a lot of different potential
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  here for teachers to use it in their classrooms.
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  I could see it, you know, being used to help
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  create images that maybe place the student in
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  the center of a story, whether it be for something
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  they've written or created, or maybe it's in,
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  like, in a scene from history. I think it could
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  definitely be used to help illustrate a lot of
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  concepts, maybe to focus on some vocabulary building,
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  or, you know, in world languages where you're
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  building vocabulary in that other language that
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  I think, you know, could definitely help bring
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  I think some comprehension to that as well. So
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  that's one of the tools that within Google's
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  Gemini that I really think has taken great leaps
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  forward, you know? Yeah, and that just got added
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  in, like even during the summer I was playing
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  around with it and it was still kind of in that
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  process of it could create humans and stuff at
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  that point, but then the ability to, like you
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  said, put ourselves into it and modify these
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  images. One of the best, I think I saw this on
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  LinkedIn and I don't remember exactly who it
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  was, but now we're, we're in a space where it's,
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  it's like, it's giving Photoshop a run for its
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  money, right? Yeah. That's exactly. So I saw
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  someone post the similar thing. Yeah. So, you
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  know, like in Photoshop, right? You put it in,
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  you do all this editing and stuff. It's crazy
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  how when we were doing our tutorial and you're
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  putting in that example, it's really crazy how
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  quickly you can modify that image and manipulate
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  it and stuff. And I even used it to do one of
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  my trainings that I had. I used the image. thing
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  to put myself into, you know, everybody knows
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  that Travis proposed to Taylor, a very huge event
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  that happened and I used that. You did it, didn't
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  you? I happened to just be in the garden at that
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  time. Pretty exciting. For some reason, I was
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  super close to them and they asked me to back
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  up. But, you know, you get excited. It's what
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  can you do, right? I mean, when when, you know,
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  that couple comes together and you're just so
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  for them, you know, you want to express how exuberant
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  you feel about it, you know? Yeah. Yeah. But
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  it's crazy because, like you said, like now you
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  can you can. Yeah. Like you can even like smash
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  different pictures together. Right. And it's
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  not just one image that you can upload to it
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  at a time. You can put several in it. It will
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  kind of combine them together and put you right
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  in the action. Right. Yep. Yeah, awesome. Yeah,
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  what other things did that you shared with us?
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  Do you want to touch on here? Yeah Well, it's
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  so one of the things that I talked about it and
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  I think this is just huge for for teachers With
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  any with any content that they're making You
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  know, we focus so much early on on oh you can
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  create a lesson plan and one of the best things
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  that Google Gemini has and other platforms have
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  this to like Chad GBT has this to where you You
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  have the space that you're having the conversation
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  on one side. You have the canvas or like the.
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  What's being created on the right hand side of
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  the page and? You can now with Gemini in their
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  canvas feature. They added this create button
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  so it's not just that you can create your initial
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  concept. So say it's a lesson plan. Could be
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  any number of things, but you create that initial
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  creation or concept and then. The create button
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  allows you to take that even further. I would
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  imagine that with this just being released, there's
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  going to be a lot of applications that will be
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  added to it or features that will be added to
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  it as they progress through the next year here.
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  But even just from right now, I could say create
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  me a lesson plan on World War I, right? And then
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  as soon as it creates the lesson plan, I can
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  now use that create button to go into Oh, make
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  me a web page on this. Make me an infographic
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  on this topic and you can see the coding in real
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  time. So you you'll watch it code this for you
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  and write the code entirely and then preview
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  what it is that you're looking at. So it pulls
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  in like the information and the charts and you
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  could have it add imagery, all sorts of different
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  things. We used a hand washing example in our
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  infographic one in a tutorial that we did on
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  YouTube, but the ability to do that and not only
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  now make the lesson plan, make the infographic
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  or web page, but even when that happens, going
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  back to the conversation on the left -hand side
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  and saying, I don't like this about the infographic
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  or web page, let's change this, let's swap this
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  out and tailor it even more to your liking is
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  massive. And one thing that we pointed out, which
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  is huge and goes along with the advancements
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  in the imagery is It struggled so much early
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  on with creating infographics with accurate,
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  well, anything, whenever it was an image, it
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  really struggled with text in images. And that
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  was a huge downside of any of these large language
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  models. But now you can create these infographics
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  with accurate language and accurate images. It's
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  really impressive because what was a hindrance
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  before and you would almost just ignore it because
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  it's like, well, it's not even worth my time
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  to try to create that. It's impossible to get
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  it to and to repeat words consistently that it
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  would misspell them all the time. Yeah, 100%.
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  It didn't matter if you put it in quotes or whatever.
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  I can think back to like I made this fake image
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  of the Minnesota Timberwolves winning the championship
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  when they lost in the... You're such a dreamer.
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  Yeah, and you know, it's it was like It kind
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  of said Minnesota terrible walls, you know But
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  then it was like so many of the word letters
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  were backwards or messed up and it's just not
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  not good but now The the improvements are really
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  great and it's impressive to watch between the
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  imagery stuff that you talked about and what
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  teachers can now create because Teachers can
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  instantly take that print it, put it above their
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  sink, and now kids have a diagram of what's the
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  procedure for washing your hands, you know, and
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  I know a lot of our sped department really was
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  something that they brought to me multiple times
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  about that would be extremely useful, and now
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  it's here, so it's great. And I think the ways
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  that you can Customize some so much of the content
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  that is going in there that exactly can fit the
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  the style of teaching that you have, or maybe
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  even the types of activities that you want the
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  kids to do. And the canvas can help you create
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  the code for that without having to know anything
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  about coding. I know very little about coding,
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  right? But I can take the code that it develops
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  and then I can publish it to. some sort of a
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  web platform, give the link to that like a Google
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  site and I can give the link of that to my kids
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  and then they can use that site as an opportunity
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  to maybe do some flashcard reviews of vocabulary
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  words or they could you know take some practice
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  quizzes or they could you know engage with a
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  word find activity and you know I don't have
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  to sit there and create it letter by letter but
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  I can have this create that code for me embedded
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  onto that website. And now I've got, you know,
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  a supplemental teaching tool that I can keep
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  going back to year after year. Yeah, yeah, 100
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  % and. Yeah, I think this opens the door a lot
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  for for things that teachers are going to want
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  to do and use within Gemini and so and it will
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  continue to get better. So I really look forward
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  to it. But did you want to talk a little bit
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  about the video that you created? Yeah, sure.
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  One of the differences here between David and
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  I is that I actually have a pro account here.
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  And so I'm able to do some things with Gemini
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  that aren't available on the free platform. And
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  right now they have released to those of us that
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  have the pro version. You can create like eight
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  second videos or have AI create eight second
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  videos. of whatever you need to, you know, like
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  David was talking about the hand washing thing.
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  So I gave. veal within Gemini, a prompt to here's
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  what I would like to see in this eight second
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  video with a little bit of a script and a little
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  bit of description of actions that are taking
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  place. And it created that it was this little
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  girl, she puts soap on her hand, she gets the
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  soap rinsed off, and she's drying her hands in
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  that eight seconds. So I mean, again, that's
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  something to just kind of reinforce some of that
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  stuff that's taking place. But there's a lot
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  of fun things I think you could do with that.
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  too in that time period. But it's a really cool
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  feature. It's nice to know that I think AI video
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  generation is starting to make some advancements
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  there as well, at least to some of us. Maybe
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  more of us will get that in the future. But yeah,
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  we have to let Google know that that's what we
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  want. Maybe they'll listen. Yeah. And there's
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  limitations, like you said, there's limitations
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  to how much you can use it even with the the
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  pro version but the pro yeah i only made three
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  videos in a day yeah and and that's we've seen
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  a lot too where eventually i feel like who knows
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  what might happen but you know eventually a lot
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  of the things that were features that were paid
• 14:32
  for features with these tools they start to kind
• 14:35
  of make their way into the free versions of things
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  but i think one thing that's nice is obviously
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  with like the video you created is These are
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  more accessible to everybody now. Whereas before,
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  I remember early on, Brady, who I used to present
• 14:52
  with, did a video. But it required he had to
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  do a bunch of work on getting that made and paying
• 15:00
  for it and all sorts of stuff. And so you can
• 15:03
  definitely see the progression of accessibility
• 15:06
  for everybody to be able to use these tools.
• 15:09
  So that's really cool. Yeah, and I know another
• 15:12
  one of those. You talk about accessibility of
• 15:14
  the tools and if you want to think about what
• 15:17
  can make learning more accessible to our students.
• 15:20
  I know you talked about when we did the tutorial
• 15:24
  recording the guided learning tool, which I think
• 15:28
  is super amazing here to help spark. kind of
• 15:33
  that curiosity for a student to kind of engage
• 15:35
  with learning what they want to learn about or
• 15:38
  or to do so in such a way that they don't just
• 15:41
  become you know we've talked about the cognitive
• 15:43
  offloading and stuff that occurs you know when
• 15:46
  students can just press an easy button but guided
• 15:48
  learning doesn't seem to allow the student to
• 15:50
  just do that either from a teacher directive
• 15:53
  perspective. Can you explain a little bit about
• 15:56
  you know what the guided learning is and does?
• 15:59
  Yeah, so I don't think I mean whether you're
• 16:02
  a professional trying to learn something or if
• 16:04
  you're trying to learn something on the side
• 16:05
  or like we talked about Students could really
• 16:09
  utilize this tool for any given topic and when
• 16:12
  you're working with Gemini What guided learning
• 16:16
  differentiates itself in where you start your
• 16:19
  prompt? It just changes kind of the approach
• 16:21
  So rather than just going to it and writing a
• 16:24
  prompt when you choose that guided learning tool
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  it will actually say in the kind of grayed -out
• 16:30
  text there, what do you want to learn about?
• 16:32
  What is the topic you want to learn about, right?
• 16:34
  And you put that in, and if you go and check
• 16:39
  out the YouTube version, you'll see that this
• 16:41
  is so much more of a conversational thing that
• 16:44
  goes on, where I'll tell it the topic I want
• 16:47
  to learn about, and it will give me some follow
• 16:50
  -up questions to narrow it down. And then I'll
• 16:52
  say, OK, this is the direction I want to go.
• 16:55
  So, you know, if we take an example like I want
• 16:58
  to learn about the scientific method, you know,
• 17:00
  it might come back with, okay, what specifically,
• 17:03
  you know, give you three options maybe and say,
• 17:05
  what do you want to learn about the scientific
• 17:06
  method? Let's break it down a little further
• 17:08
  so we can narrow in on something. Depending on
• 17:12
  how broad the category is or the topic is, right,
• 17:14
  it will ask you to narrow things down so it can
• 17:18
  get you to focus on one piece. So you can give
• 17:23
  it that answer and then, What you'll find is
• 17:25
  when you engage with the guided learning is that
• 17:28
  it's this back and forth of, let's start at the
• 17:31
  very basic. Here's the first concept you should
• 17:34
  be aware of when it comes to the scientific method.
• 17:37
  Maybe it gives you the overall process that you
• 17:42
  go through with the scientific method. And then
• 17:45
  it will give you some initial information and
• 17:47
  then say, it'll inquire of you like, what would
• 17:53
  you say to this or what would be your answer
• 17:55
  to this question? So it actually prompts you
• 17:59
  back, right? And it says, what do you know about
• 18:03
  this? And so you have to kind of put in your
• 18:05
  answer and it leaves space for the person who's
• 18:09
  engaging with the guided learning to be able
• 18:12
  to give their response. And then once the response
• 18:16
  is in, it's going to evaluate the accuracy of
• 18:20
  the human response and their knowledge of the
• 18:22
  topic, and then give a follow -up and say, oh,
• 18:26
  excellent, you got that exactly right. Or maybe
• 18:30
  you need to consider this first and give you
• 18:32
  more information and then add in another follow
• 18:35
  -up question. And so that's where the back and
• 18:37
  forth comes in because you're learning from it
• 18:42
  and it's constantly assessing what you know and
• 18:44
  what you don't know. providing follow -up information
• 18:48
  follow -up questions based on the engagement.
• 18:51
  Which makes it really really accessible to learners
• 18:54
  at different levels because I mean it's going
• 18:57
  to constantly kind of assess what you're knowing
• 19:00
  and then try to make you take one more small
• 19:04
  incremental step forward in your learning as
• 19:06
  you go through. And so you and I could both be
• 19:10
  doing something about the scientific method,
• 19:13
  right? But it's going to ask you different questions
• 19:15
  than it does me because one of us may have a
• 19:18
  more advanced understanding than the other one.
• 19:21
  But we're still going to be able to bring our
• 19:23
  knowledge to bring our understanding further
• 19:29
  than where it was, right? Yeah, yeah, it's the
• 19:33
  whole idea behind it is to get you learning more
• 19:36
  and more about a topic and You kind of set that
• 19:40
  initial path and then it will You know, basically
• 19:46
  you'll have kind of this partnership going on
• 19:49
  of learning and reassessing and learning and
• 19:52
  and yeah, it's great and then you can always
• 19:55
  come back to it to like with the conversations
• 19:58
  being saved on the left -hand side it's like
• 20:00
  Come back to it again, especially if it's something
• 20:03
  where it requires you to do hands -on things.
• 20:07
  We gave the example of the car engine. Maybe
• 20:10
  it's something where you put in that and it gives
• 20:13
  you some information, and then maybe you go try
• 20:16
  some things hands -on and come back to it. Yeah,
• 20:21
  because you can always go back into that history
• 20:23
  and pick up your conversation wherever you left
• 20:25
  it off. Like if you get tired of learning about
• 20:28
  karma, you know, how to maintain an automobile,
• 20:31
  but you want to jump into something about sharks,
• 20:34
  you know, you could quickly jump over to sharks
• 20:36
  or something, you know. Right. Yeah. Or piranhas,
• 20:39
  as we're found in. Or piranhas. Yeah. And I think
• 20:44
  one more tool that we want to touch on here that
• 20:47
  is part of that is the deep research. tool that
• 20:50
  is available within Gemini now. And David, you
• 20:53
  want to spend a little bit of time talking about
• 20:56
  the tool itself and how it can be used? Yeah,
• 20:59
  I would just think of the deep research as a
• 21:01
  way for anyone to start with a topic. But what
• 21:07
  you're asking it to do is to go out and find
• 21:10
  actual sources. So it pulls in sources from outside
• 21:15
  once you start your research. When you give it
• 21:18
  a topic, it will kind of give you a breakdown
• 21:20
  of steps of what it thinks you expect from it.
• 21:24
  And then once you accept those steps, you can
• 21:26
  edit them if you want. But once you accept the
• 21:28
  research steps and you hit start research, what
• 21:31
  will happen is it will start to funnel in all
• 21:33
  these different research articles based on your
• 21:36
  initial prompt. I would say it's pretty important
• 21:39
  to include as much information as you can so
• 21:43
  that you're somewhat being So many times I think
• 21:48
  when I've done research, like you'll do an initial
• 21:51
  search, but it's so broad that you end up maybe
• 21:55
  spending too much time getting rid of sources.
• 21:58
  So I think the more narrow you can be in your
• 22:01
  request and the more specific you can be, the
• 22:04
  better. Not that it won't pull good sources.
• 22:06
  Like we saw it still pulled things that were
• 22:09
  relative to the topic that I was asking for,
• 22:12
  but. you put in your initial topic and you hit
• 22:15
  start research and then it pulls in all these
• 22:17
  resources and basically generates a what would
• 22:20
  be like a research paper and then there are tie
• 22:23
  -ins with that where you can like export that
• 22:25
  to google docs you can if there's tables you
• 22:28
  can export it to sheets if there's a detail within
• 22:31
  the research and stuff like that so it's pulling
• 22:34
  in these different applications google applications
• 22:37
  that are tied to it and Yeah, and then you still
• 22:41
  have your create buttons available too, like
• 22:44
  we talked about with Canvas. You can still do
• 22:47
  like infographics or web pages or whatever. And
• 22:49
  when you're talking about sources, you're able
• 22:51
  to go through and actually vet those sources
• 22:54
  as it's sharing its research that it finds with
• 22:57
  you because it will give you the link to the
• 23:01
  spot where it was found and where it's pulling
• 23:03
  some of that research information from, and you
• 23:06
  can go through and actually bet that source and
• 23:08
  make sure that it's quality and legit, and it's
• 23:11
  not something that AI is just hallucinating or
• 23:13
  making up. Yeah, and it tries to footnote stuff
• 23:17
  too, like within the text, it will try to indicate
• 23:20
  what that source is. Maybe it could get a little
• 23:22
  bit better at that in the future. Hopefully it's
• 23:27
  there's definitely some improvements that could
• 23:29
  happen within that part of it where you can actually
• 23:32
  tell like what specific sources but yeah but
• 23:36
  the fact that it's doing that and generating
• 23:38
  that research and then tying in the sources is
• 23:40
  great because as we know too you could then still
• 23:44
  say like I don't actually want these sources
• 23:47
  included please remove these sources and let's
• 23:49
  just focus on good point you know a given number
• 23:52
  so If you had some that you could tell were much
• 23:56
  more academic in nature that you wanted to focus,
• 23:58
  you could really hone in on those particular
• 24:00
  sources and ignore some of the other ones that
• 24:04
  maybe aren't coming from as reputable of a location.
• 24:07
  Yeah, and I think so much of when you start with
• 24:10
  your prompting, that's why that's important because
• 24:12
  as I mentioned, then you can start the narrowing
• 24:15
  process a bit earlier because what you'll find
• 24:18
  is if you don't do that, you're going to probably
• 24:21
  spend a lot more time looking through a bunch
• 24:25
  of sources that you already know you don't need
• 24:28
  because they're not in line with what your topic
• 24:31
  is. But yeah, I think all these are really great
• 24:34
  to check out and I would say we would encourage
• 24:38
  anybody to go and watch the YouTube videos so
• 24:41
  you can see some examples, but try these out
• 24:42
  for yourself too. Yeah, and we will make sure
• 24:45
  to link the YouTube. videos that we created,
• 24:49
  the Gemini part one and part two, that kind of
• 24:51
  go along with some of the things that we're talking
• 24:53
  about here. But give you just a little bit more
• 24:56
  of a tutorial style step by step. Here's how
• 24:59
  we did some of those things. So I encourage you
• 25:01
  to check that out. And also, you know, we've
• 25:04
  had a lot of great interviews this summer with
• 25:07
  a lot of fantastic educators and people in the
• 25:10
  educational technology world that if you're looking
• 25:13
  for a little bit of a podcast to listen to, while
• 25:17
  you're commuting or working out or whatever it
• 25:19
  happens to be, then please check us out and make
• 25:23
  sure you're listening to those as well. So thanks
• 25:27
  for joining us and we look forward to bringing
• 25:29
  you more great things to integrate into your
• 25:33
  classroom in the rest of the school year. Thanks
• 25:37
  everyone. Thanks for listening to Integrate This.
• 25:41
  Want to take your learning further? Head over
• 25:44
  to our YouTube channel for quick tutorials, deep
• 25:46
  dives, and more edtech tips you can use right
• 25:49
  away. Don't forget to subscribe and catch new
• 25:53
  podcast episodes every Thursday on Apple, Spotify,
• 25:57
  or wherever you get your podcasts. Until next
• 26:00
  time, keep exploring, keep innovating, and keep
• 26:04
  integrating this.