Episode 14: Educational Innovation Through the Use of AI

00:00:00: Welcome to our new episode "Campus to Cyber" the German UDS podcast which today

00:00:16: focuses on a particularly exciting topic the use of AI in higher education. In

00:00:21: this episode we take a look at the project "Edo AI educational innovation

00:00:26: through AI which is anchored at the German UDS". For the first time we are

00:00:30: using AI with notebook LM to shape the discussion and open up new perspectives

00:00:36: on teaching. Together we will explore the opportunities and challenges of AI in

00:00:41: higher education. So let's get started and get a deep dive into AI at the German UDS.

00:00:47: You've sent us some seriously cool research about something called "Edie AI" which

00:01:03: wants to completely overhaul online learning with artificial intelligence.

00:01:07: Think less boring lecture hall and more personalized learning adventure all

00:01:13: powered by AI. It is exciting stuff and you're right this isn't just adding like

00:01:17: a tech tool here and there. "Edie AI" wants to build the entire learning

00:01:21: experience around AI. Oh wow. Making it more effective and inclusive for everyone.

00:01:26: Okay so paint me a picture. What kind of like crazy cool future is "Edie AI"

00:01:31: talking about? Fasten your seatbelt. Okay. Because we're starting with virtual

00:01:35: professors. Oh. Imagine this. It's 3 a.m. you're drowning in research for that big

00:01:41: paper. Oh been there. And bam your professors AI avatar is right there ready

00:01:45: to answer your questions. Although they're talking like actual AI clones of real

00:01:50: professors. Yeah. Sign me up. Oh but seriously how detailed are we talking?

00:01:55: Think like digital twins. Okay. They'd use video, audio, even the professors own

00:02:00: writing style to create an AI that truly reflects their knowledge and teaching

00:02:05: approach. It wouldn't just be some generic chatbot. Okay that's next level.

00:02:08: But wouldn't it be kind of creepy? Like talking to a super realistic but like

00:02:14: not quite human professor? Right. Would students actually buy into that? That's

00:02:19: one of the big questions "Edie AI" is looking at. They're not shying away from

00:02:23: the potential downsides you know. Research shows that students can learn

00:02:27: just as well from AI avatars. Interesting. But there's a big difference between

00:02:30: effective and enjoyable. Yeah for sure. They need to nail that human element.

00:02:36: Totally. You don't want to feel like you're learning from like a robot

00:02:39: overlord. You know what I mean? Right. But think about the possibilities. No more

00:02:45: stressing over conflicting schedules, access for students in different time

00:02:48: zones. Yeah. It could really shake things up. It's true. This could democratize

00:02:52: education like never before. Like can you imagine having access to the world's

00:02:56: best professors at your fingertips? That would be amazing. Regardless of where you

00:03:01: live or what your schedule looks like. Mind blown. Okay so AI professors are cool.

00:03:06: But this research isn't just about making life easier for students. Right.

00:03:11: What about the teachers themselves? EDU AI wants to give teachers a super power

00:03:16: upgrade too. I like it. Grading papers, analyzing student engagement during

00:03:21: online lectures. Imagine AI handling those tasks so teachers can focus on what

00:03:26: they do best. Inspiring and mentoring students. It's like giving them a whole

00:03:30: team of AI assistants. Yeah. Okay so we'll be through some specific examples. How

00:03:34: would this actually work in the classroom? Imagine an AI teaching assistant that

00:03:38: watches an online lecture alongside the students. It's not just checking attendance

00:03:43: but analyzing their engagement in real time. Wow. Are they asking questions? Do

00:03:48: they look confused? This AI could then suggest the teacher adjust their approach

00:03:52: or provide extra support in certain areas. Wait so the AI is basically like a

00:03:57: mind-reading teaching assistant that helps the teacher tailor the lesson to

00:04:01: how students are actually doing. Yeah. That's wild. Yeah exactly. It's taking

00:04:05: personalized learning to a whole new level. But it gets even more interesting.

00:04:10: EDU AI wants to create a personalized AI learning companion that would be with

00:04:15: you throughout your entire education journey. Okay now that sounds like

00:04:19: something straight out of sci-fi. How would that even work? Would it be like

00:04:22: having a little AI buddy following you around campus? Think of it more like a

00:04:26: digital sidekick that lives on your laptop or phone. This AI would adapt

00:04:31: to how you learn best, your pace, even your interests. It could suggest

00:04:35: relevant study material, provide personalized feedback, maybe even like

00:04:39: give you a nudge if you're slacking up on that big assignment. So it's like a

00:04:42: personalized tutor, study buddy, and life coach all rolled into one. Basically. This

00:04:47: AI is gonna be one busy companion. Right. But what about the human element? Is there

00:04:52: risk of becoming too reliant on AI and losing that like personal connection

00:04:56: and education? That's the million dollar question. And EDU AI is very aware of

00:05:04: this potential pitfall. It's not about replacing human interaction, but

00:05:09: enhancing it. Think of it this way. Your AI companion helps you learn more

00:05:14: effectively. Freeing up time and energy to have more meaningful discussions with

00:05:19: your teachers and classmates. Okay, so we're not handing the keys to the robots

00:05:23: just yet. No. This is already blowing my mind. We've got AI professors, teaching

00:05:27: assistants, and even personal learning companions. What else does EDU AI have up

00:05:32: its sleeve? Well, one of the things I find most exciting about this proposal is

00:05:36: its commitment to using AI to make education truly inclusive for everyone.

00:05:41: We're talking breaking down barriers that have existed for far too long. Now

00:05:45: we're talking. This is something I'm really passionate about. So how would AI

00:05:49: actually make a difference in that area? Imagine a world where language is no

00:05:54: longer a barrier to education. Wow. AI could provide real-time translation and

00:05:59: captioning, making lectures and learning materials accessible to students from

00:06:03: all over the world, regardless of their native language. That would be

00:06:07: revolutionary, especially in today's like increasingly interconnected world.

00:06:10: Right. No more struggling to understand a professor with a thick accent. Yeah. We're

00:06:15: missing out on opportunities because of language differences. Exactly. And it's

00:06:19: not just about language. EDU AI is also looking at using AI to create avatars

00:06:24: that reflect diverse cultures. Right. Ensuring that all students feel seen and

00:06:29: represented in their learning materials. Representation matters. Yeah. Seeing

00:06:33: yourself reflected in your teachers in curriculum can have a huge impact on a

00:06:38: student's sense of belonging and motivation. I love that they're considering that.

00:06:42: Absolutely. Imagine a young student from an underrepresented background seeing a

00:06:46: virtual professor who looks like them, speaks their language, and understands

00:06:51: their cultural background. Yeah. It could be incredibly empowering. Okay. I'm

00:06:55: sold. This is amazing. But building all this incredibly advanced AI can't be good

00:07:00: for the environment. Right? Yeah. All that computing power has to come at a cost.

00:07:04: That's a really important consideration and I'm glad you brought it up. You're

00:07:07: right. Training complex AI models can be very energy intensive. Yeah. But here's

00:07:11: where EDU AI gets really interesting. They're proposing the use of eco-friendly

00:07:16: AI, specifically one-bit networks. Eco-friendly AI. One-bit networks. Okay.

00:07:22: You're gonna have to break this down for me. Okay. Think of it like this.

00:07:25: Traditional AI models are like gas guzzling cars. Okay. Okay. They're using

00:07:30: tons of energy because they rely on complex calculations with decimals. One-bit

00:07:35: networks, on the other hand, are like electric cars. They're much more efficient

00:07:39: because they represent information using only two values, zero and one. This

00:07:43: significantly reduces that computational burden, making the AI much more

00:07:48: energy efficient. So they're basically like streamlining the language of AI.

00:07:52: Yeah. Making it leaner and greener. That's brilliant. Precisely. It's about achieving

00:07:57: the same amazing results with a fraction of the energy and they don't stop there.

00:08:00: No. They've got this really fascinating concept called sustainability avatars.

00:08:05: Ooh, what is that? Imagine getting feedback on a design project from the

00:08:09: perspective of a whale or a bee. Hold on what? Feedback from a bee. Is this like

00:08:16: some kind of AI spirit guide for environmentally conscious design? You're

00:08:21: on the right track. It's all about shifting perspective. Imagine you're a

00:08:25: design student working on a new product. Your AI bee avatar might chime in and

00:08:30: say, "Hey, that material you're using, not so great for my pollination, buddies."

00:08:34: Okay, that's pretty amazing. You're embedding sustainability into the design

00:08:38: process from the very beginning. Exactly. It's about pushing students to think

00:08:42: beyond themselves and consider the environmental impact of their work. This

00:08:46: is incredible. They've thought of everything from virtual professors to

00:08:50: AI that helps save the planet. Right. But before we get too carried away, we

00:08:55: should probably acknowledge that this is still just a research proposal, right?

00:08:58: It's a blueprint for the future, not a finished product. That's an important

00:09:02: point. And while this proposal is incredibly comprehensive, it focuses

00:09:06: primarily on how these technologies would be developed. So where do we go

00:09:10: from here? What are the next steps in turning this ambitious vision into

00:09:14: reality? Well, there are a lot of questions that still need to be answered.

00:09:18: Like what? Give me the inside scoop. What are some of the challenges they're

00:09:21: facing? For starters, we're still a long way from creating AI systems that can

00:09:26: truly replicate the complexity of human interaction. It's one thing to develop an

00:09:31: AI that can grade multiple-choice quizzes, but creating one that can

00:09:36: provide meaningful feedback on a student's essay or engage in a nuanced

00:09:41: philosophical debate. That's a whole other ballgame. Totally. And it's just

00:09:46: it's really hard to do. So there's still a need for major advancements in AI

00:09:51: technology before this vision can be fully realized. Absolutely. And it's not

00:09:55: just about the technical side of things. There are also huge questions about

00:10:00: implementation, accessibility, and of course making sure that AI is used

00:10:05: ethically and responsibly in education. Those are all incredibly important

00:10:08: factors. But let's not get ahead of ourselves. We've covered a lot of ground

00:10:11: in this first part of our deep dive. We have. From virtual professors and AI

00:10:15: teaching assistants to personalized learning companions and even

00:10:19: sustainable AI. And we've only just scratched the surface. There's so much

00:10:23: more to explore. So join us for part two of this incredible deep dive into the

00:10:29: future of education where we'll tackle those big questions about

00:10:32: implementation, ethics, and the role of human educators in an AI-powered world.

00:10:36: You won't want to miss it. You know when you think about it, we're not just

00:10:40: talking about a tech upgrade here. This is about reimagining the entire

00:10:44: education system. Like from the ground up, it's a massive undertaking. No kidding.

00:10:48: And like we were saying before, there are some major hurdles to overcome. We

00:10:53: touched on the need for continued AI advancements. But what about the practical

00:10:57: side of things? Like let's say those advancements happen. How do we actually

00:11:00: make this technology accessible to everyone? That's the million dollar

00:11:04: question. And it's not just about having the fanciest AI. It's about making sure

00:11:08: it reaches those who can benefit from it the most. You know, imagine a rural

00:11:12: community with limited internet access or a student who can't afford the latest

00:11:17: gadgets. Right. We need to make sure this technology bridges the digital divide.

00:11:22: Not widens it. You're so right. It would be a huge disservice if AI in education

00:11:29: just ended up benefiting those who are already privileged. So how do we prevent

00:11:34: that? How do we make sure this is truly equitable? Well for starters, we need to

00:11:38: be very intentional about how and where we implement these technologies. It's not

00:11:41: enough to just develop the coolest AI.

00:11:45: We need to make sure it reaches those who need it most.

00:11:46: - So we're talking about making sure schools

00:11:49: in under-resourced communities

00:11:50: have the funding and infrastructure

00:11:52: to implement these technologies.

00:11:54: - Exactly.

00:11:55: And providing training and support for teachers

00:11:57: in those communities so they feel empowered

00:11:59: to use these tools effectively.

00:12:01: - Okay, that makes sense.

00:12:02: But it's not just about the technology itself, right?

00:12:04: There's also the whole human element.

00:12:06: How do we prepare teachers for this AI-powered future?

00:12:10: I mean, let's be real.

00:12:11: Seeing a robot take over your classroom

00:12:13: could be a little intimidating.

00:12:14: - I can see where you're coming from.

00:12:16: Change can be scary, right?

00:12:18: But it's important to remember

00:12:19: that AI isn't here to replace teachers.

00:12:22: It's about giving them superpowers.

00:12:23: - Superpowers.

00:12:25: I like the sound of that.

00:12:26: But seriously, how do we get teachers on board with this?

00:12:29: - It all comes down to communication, training,

00:12:32: and support.

00:12:33: We need to clearly communicate the benefits of AI

00:12:36: in education, not just for students,

00:12:39: but for teachers themselves.

00:12:41: Imagine having more time to spend

00:12:42: on personalized instruction

00:12:44: or developing creative lesson plans

00:12:46: because AI is taking care of the tedious tasks.

00:12:49: - Okay, that part does sound pretty appealing.

00:12:52: Less time grading papers, more time inspiring students.

00:12:55: That's a win-win in my book.

00:12:56: - Exactly.

00:12:57: But we also need to provide teachers

00:12:58: with the training and resources they need

00:13:01: to feel confident using these tools.

00:13:03: It's not just about knowing how to turn the AI on and off.

00:13:07: It's about understanding how to integrate it effectively

00:13:10: into their teaching practice.

00:13:11: So it's about empowering teachers to be the architects

00:13:15: of their AI-powered classrooms.

00:13:16: - Yes.

00:13:17: - Not just passive bystanders.

00:13:18: - Precisely.

00:13:19: It's about giving them the agency

00:13:21: to shape how this technology is used

00:13:23: to benefit both themselves and their students.

00:13:26: - I love that.

00:13:27: But let's talk about the elephant in the room.

00:13:29: With AI becoming so integrated into education,

00:13:32: how do we make sure it's used responsibly and ethically?

00:13:35: We've all seen those sci-fi movies

00:13:37: where the robots take over.

00:13:38: - Okay, let's not get ahead of ourselves.

00:13:39: We're not talking about robot overlords here.

00:13:41: - Okay, good.

00:13:42: - But you're right.

00:13:43: The ethical implications of AI in education are huge.

00:13:47: - Absolutely.

00:13:48: We need to make sure this technology is used

00:13:50: to create a more equitable and just education system.

00:13:54: Not one that perpetuates existing biases

00:13:57: or creates new problems.

00:13:59: - Couldn't agree more.

00:14:00: One of the biggest challenges is addressing

00:14:02: the issue of algorithmic bias.

00:14:04: AI systems are only as good as the data they're trained on.

00:14:07: If that data reflects existing biases in society,

00:14:10: those biases will be baked into the AI's

00:14:12: decision-making process.

00:14:14: - So like, if an AI teaching assistant was trained on data

00:14:17: that primarily featured male scientists,

00:14:20: it might inadvertently steer female students

00:14:23: away from STEM fields.

00:14:24: - Exactly.

00:14:25: That's why it's crucial to ensure that the data used

00:14:28: to train these systems is diverse

00:14:30: and representative of all learners.

00:14:32: We need to be very careful

00:14:34: about what we're teaching these AI systems

00:14:36: and how they might interpret and act on that information.

00:14:39: - Okay, so data diversity is key.

00:14:41: What else can we do to make sure AI is used

00:14:44: ethically in education?

00:14:46: - Transparency is another big one.

00:14:48: We need to understand how these AI systems

00:14:50: are making decisions.

00:14:51: It's not enough to just accept the AI's recommendations

00:14:54: without questioning the reasoning behind them.

00:14:56: - So kind of like how we'd question a textbook

00:14:58: that seemed biased or outdated.

00:15:00: We need to bring that same critical thinking to AI.

00:15:03: - Exactly.

00:15:04: We can't treat AI as a magical black box.

00:15:06: We need to understand the inputs, the processes,

00:15:09: and the potential biases that might be influencing

00:15:11: its outputs.

00:15:12: - That makes a lot of sense.

00:15:13: But all this talk about data and algorithms,

00:15:16: it can feel a little impersonal, you know?

00:15:18: What about the human connection in education?

00:15:20: Is there a risk that AI could make learning

00:15:22: too transactional, too focused on data points and outcomes?

00:15:27: - That's a really important question.

00:15:29: And it's something we need to be mindful of.

00:15:31: Technology should never replace the human connection

00:15:35: that is so essential to learning.

00:15:37: The best teachers are more than just dispensers

00:15:40: of information.

00:15:41: They're mentors, guides, and cheerleaders.

00:15:43: They inspire a love of learning

00:15:45: that goes far beyond the textbook.

00:15:46: - You've hit the nail on the head.

00:15:47: It's that passion, that love of learning,

00:15:50: that really makes a difference.

00:15:51: So how do we make sure that doesn't get lost

00:15:54: in an AI-powered world?

00:15:55: - By remembering that technology is just a tool.

00:15:58: It's a powerful tool.

00:16:00: But it's still up to human educators to guide the way,

00:16:03: to provide context and to nurture those essential

00:16:05: human qualities that make learning so much more

00:16:08: than just memorizing facts.

00:16:10: - I love that technology is a tool, not a replacement.

00:16:12: So as we venture further into this world

00:16:14: of AI-powered education, how do we strike that balance?

00:16:17: How do we harness the incredible potential of AI

00:16:21: while still preserving the heart and soul of education?

00:16:24: - That's the million dollar question, isn't it?

00:16:26: And I don't think there's a simple answer.

00:16:28: But I do believe that if we approach this challenge

00:16:30: with a focus on equity, transparency,

00:16:34: and a deep respect for the human element of learning,

00:16:37: we can create an education system

00:16:39: that truly benefits everyone.

00:16:41: - You know, for all the potential challenges we've uncovered,

00:16:44: I'm actually feeling pretty optimistic

00:16:46: about the future of education.

00:16:47: What about you?

00:16:48: - Me too.

00:16:49: It's an exciting time to be involved in this field.

00:16:52: And I'm incredibly hopeful that by working together,

00:16:55: educators, technologists, and policymakers

00:16:58: can create an education system that's more equitable,

00:17:00: more engaging, and more effective than we ever thought possible.

00:17:04: - No, that's a future I can get behind.

00:17:06: But before we get too carried away,

00:17:08: dreaming about the future,

00:17:09: we've got one more burning question to address.

00:17:12: This idea of sustainable AI.

00:17:15: It's not just about making education

00:17:16: more accessible and effective.

00:17:18: It's also about making sure it's sustainable for the planet.

00:17:21: - You're right.

00:17:22: We can't ignore the environmental impact of technology.

00:17:25: And that's where those eco-friendly approaches

00:17:27: like the one-bit networks we talked about earlier come in.

00:17:29: - Right, those energy efficient AI models

00:17:31: that are like the electric cars of the AI world.

00:17:34: - Exactly.

00:17:35: But it's not just about the technology itself.

00:17:37: It's about fostering a mindset of sustainability

00:17:40: and education.

00:17:41: - Oh, interesting.

00:17:42: - It's about teaching students to be mindful

00:17:45: of their environmental impact,

00:17:46: to think critically about the technologies they use,

00:17:49: and to design solutions that are both innovative

00:17:51: and sustainable.

00:17:53: - So we're not just using AI to teach students

00:17:56: about sustainability.

00:17:57: We're also using it in a sustainable way.

00:17:59: It's about walking the walk, not just talking the talk.

00:18:02: - Precisely.

00:18:03: And that brings us back

00:18:04: to those incredible sustainability avatars

00:18:06: we discussed earlier.

00:18:07: Imagine a generation of students who grow up

00:18:10: getting design feedback from a virtual whale

00:18:13: or a rainforest.

00:18:14: They're gonna have a whole different perspective

00:18:16: on the world and their place in it.

00:18:18: - That's a powerful image.

00:18:19: It's like we're embedding sustainability

00:18:21: into the very DNA of education.

00:18:23: - Exactly.

00:18:24: And that's incredibly exciting.

00:18:25: It's about equipping students with the knowledge,

00:18:27: skills, and values they need to create

00:18:29: a more sustainable future for all of us.

00:18:32: - Okay, we've covered a ton of ground in this deep dive.

00:18:34: We've talked about everything from AI professors

00:18:36: and personalized learning companions,

00:18:38: to the importance of equity, ethical considerations,

00:18:41: and even sustainable AI.

00:18:43: But there's one last piece of the puzzle we need to explore.

00:18:47: The role of human curiosity in an AI-powered world.

00:18:51: Will AI make us more curious?

00:18:54: - Right.

00:18:55: Or could it potentially stifle our natural thirst

00:18:58: for knowledge?

00:18:59: - Now that is the question of the century.

00:19:01: And you know what?

00:19:02: We're gonna tackle that head on when we come back

00:19:04: for the thrilling conclusion of this deep dive

00:19:06: into the future of education.

00:19:08: - All right.

00:19:09: So where were we?

00:19:10: AI and human curiosity?

00:19:12: Like, will having all this information at our fingertips

00:19:15: make us more curious or could it backfire?

00:19:18: - It's a really important question to consider.

00:19:20: We were talking about that sense of wonder, right?

00:19:22: - Yeah, exactly.

00:19:22: - The thrill of discovering something new.

00:19:24: And how if we're constantly getting this personalized content,

00:19:27: maybe it'll like narrow our horizons.

00:19:30: - Right.

00:19:31: Like some of my favorite learning experiences

00:19:33: have been, you know, those moments

00:19:34: where you stumble across something totally unexpected

00:19:37: and it makes you want to learn more.

00:19:38: Could AI actually make those "aha" moments?

00:19:42: Like, less likely.

00:19:44: - It's definitely possible.

00:19:46: But I don't think AI is inherently good or bad

00:19:49: for curiosity.

00:19:50: It really depends on how we use it.

00:19:52: - Okay, so how should we use it then?

00:19:54: What if, instead of just giving us the answer,

00:19:57: AI was designed to kind of like spark our curiosity.

00:20:00: - Okay, interesting.

00:20:01: - Like to kind of nudge us towards those "aha" moments.

00:20:04: - Okay, so how would that even work?

00:20:05: Give me an example.

00:20:06: - Okay, so imagine you're a student

00:20:09: and you're researching renewable energy for a paper, right?

00:20:12: - Okay.

00:20:13: - Instead of just giving you a list of articles,

00:20:15: the AI could say, give you a surprising fact

00:20:18: or ask a really thought-provoking question about your topic.

00:20:22: - What?

00:20:23: - Something that makes you think, wait a minute,

00:20:23: I need to look into this further, you know?

00:20:25: - I like that.

00:20:26: It's like the AI is leaving a trail of breadcrumbs

00:20:30: to new discoveries and we get to follow along.

00:20:32: - Exactly.

00:20:33: It's about using AI to nurture that curiosity,

00:20:36: not to like replace it.

00:20:39: - Right, right.

00:20:40: And this is interesting.

00:20:41: Could AI maybe even help us understand curiosity better?

00:20:44: - I think so.

00:20:45: Imagine if AI could analyze all this data,

00:20:48: like tons of data, about how we learn,

00:20:51: what motivates us, what peaks our interest.

00:20:53: We could potentially gain incredible insights

00:20:56: into how to design learning experiences

00:20:58: that are just incredibly engaging.

00:21:00: - So instead of relying on old methods or like,

00:21:03: you know, just guessing,

00:21:04: educators could actually see what works.

00:21:07: - Exactly.

00:21:07: It's like using the power of AI

00:21:09: to unlock the secrets of human curiosity.

00:21:12: And who knows maybe this deeper understanding

00:21:14: of how we learn could even lead to brand new approaches

00:21:17: that benefit both traditional and AI-powered education.

00:21:21: - That's wild.

00:21:21: So we're not just using AI to enhance learning.

00:21:24: We're using it to enhance our understanding

00:21:25: of learning itself.

00:21:27: That's pretty meta when you think about it.

00:21:28: - It is.

00:21:29: It's pretty exciting stuff,

00:21:30: pushing the boundaries, embracing the unknown.

00:21:32: - I'm into it.

00:21:33: Well, this has been an incredible deep dive,

00:21:36: wouldn't you say?

00:21:37: We talked about AI that can personalize learning,

00:21:40: help break down barriers, make education more equitable,

00:21:43: and even design a more sustainable world.

00:21:46: But of course, there are challenges too.

00:21:48: - Definitely.

00:21:49: We talked about those big questions about equity, ethics,

00:21:52: making sure AI doesn't reinforce biases.

00:21:55: - Right.

00:21:55: - And of course, this whole thing about human curiosity,

00:21:58: which is really at the heart of it all, isn't it?

00:22:00: - It is.

00:22:01: - So as we wrap up,

00:22:02: I'm curious to hear your overall take.

00:22:05: Are you feeling optimistic about the future of education

00:22:07: in this AI-powered world?

00:22:09: - I am.

00:22:10: I really am.

00:22:11: But I think it's important to remember AI is a tool.

00:22:13: It's a very, very powerful tool.

00:22:16: But ultimately, it's up to us.

00:22:17: You know, we decide how we use it.

00:22:19: - It's not some magical solution to every problem.

00:22:21: - Exactly.

00:22:22: It's how we use it that really matters.

00:22:24: - And that gives me hope.

00:22:25: Because it means that even with all this crazy technology

00:22:28: coming out, it's still our human qualities,

00:22:31: our curiosity, our creativity, our empathy,

00:22:34: those things that really make us human

00:22:35: that will shape the future.

00:22:37: - So well said.

00:22:38: And that's really what education is all about, isn't it?

00:22:40: It's about helping people become curious,

00:22:43: compassionate, engaged people.

00:22:45: - Absolutely.

00:22:46: We've done a pretty good job of sparking

00:22:48: a little curiosity today.

00:22:49: We've explored some big ideas, asked some tough questions.

00:22:53: And hopefully we've inspired you to think a little differently

00:22:56: about what the future of education could look like.

00:22:58: - Right.

00:22:59: Because the journey of learning,

00:23:00: it never really ends, does it?

00:23:02: - So true.

00:23:03: And on that note of endless possibility,

00:23:05: I think we'll wrap up this deep dive.

00:23:07: Thanks for joining us on this incredible exploration

00:23:10: into the future of education.

00:23:12: Until next time, keep those minds curious.

00:23:14: Keep asking those big questions

00:23:16: and keep on learning.

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