GEF: Redefining Teaching with AI
Summary
TLDRThe roundtable discussion, led by Anel Aurora from Advanced Group, explores the impact of AI on education. The conversation highlights the potential for AI to improve teaching and learning, focusing on how it can support teachers and enhance student engagement. Participants, including educators and entrepreneurs, discuss challenges such as equity, cost, and quality, and emphasize the importance of human relationships in education. They envision AI as a tool to assist teachers in lesson planning, student assessment, and personalized learning, while cautioning against over-reliance on technology and stressing the need for intentional implementation.
Takeaways
- 🌟 The discussion aims to redefine teaching through AI, focusing on improving outcomes for young people by enhancing the teacher-student interaction, which is the core of the educational ecosystem.
- 🤖 AI's potential role in education includes assisting teachers with lesson planning, content creation, and student assessment, thereby freeing up time for more valuable activities with students.
- 🌍 Panelists from various regions highlighted the diverse challenges and contexts in education, such as low-income schools in Latin America and the unique needs of the Middle East and North Africa.
- 📱 The availability of technology in classrooms can be as limited as a single teacher's smartphone, emphasizing the need for AI solutions that work in low-tech environments.
- 🔢 Concerns about the cost of deploying AI in education were raised, particularly for public sector education in countries with limited budgets.
- 👩🏫 The importance of not replacing teachers with AI but empowering them was emphasized, focusing on AI as a tool to support teachers in their challenging roles.
- 🚀 The potential of AI to help with the automation of mundane tasks, continuous formative assessment, and personalized learning was discussed as a way to enhance teaching and learning.
- 🌐 The digital divide was identified as a significant issue, with concerns that AI might widen gaps in education if not implemented thoughtfully and equitably.
- 🤝 The group consensus was that AI should be used to support collaboration and project-based learning, rather than as a solitary learning tool.
- 💡 There was a call for intentionality in the use of AI, ensuring it aligns with the broader vision of education and the needs of students, rather than being an end in itself.
- 🌱 The human element of teaching, including happiness, engagement, and relationships, was underscored as irreplaceable and vital for effective learning.
Q & A
What is the main topic of discussion in the provided transcript?
-The main topic of discussion is redefining teaching through the use of Artificial Intelligence (AI) and its potential impact on improving educational outcomes for young people.
Who is Anel Aurora and what is her role in the discussion?
-Anel Aurora is from Advanced group and works closely with SE on various projects. She is the moderator of the discussion and sets the stage for the panelists to explore the role of AI in redefining teaching.
What is the role of Wise in the context of this discussion?
-Wise, represented by Stavros Yanuka, is a global think tank of the Kar Foundation that studies innovation in education. It is implied that they might be exploring how AI can innovate in the education sector.
What challenges does the education system in Latin America face according to Jose Rafa?
-Jose Rafa highlights challenges such as low-skilled teachers, low-tech environments, lack of internet connection, and the need for teachers to balance multiple jobs due to low pay, which affects the quality of teaching and learning.
How does Unice Bensma view the potential of AI in education in the context of public sector education?
-Unice Bensma discusses the potential of AI to reduce deployment costs and make AI tools more accessible in countries where the cost of subscription models like Chat GPT is too high, by using smaller models and innovative data collection methods.
What is the main concern that John Morak expresses about the use of AI in education?
-John Morak expresses concerns about the quality of AI, the rush to use it without proper quality controls, and the ethical implications of using AI without a clear understanding of its impact on education.
What does Fernando Castillo suggest as a potential role for AI in classrooms?
-Fernando Castillo suggests that AI could support collaboration, project-based learning, and inquiry-based learning by capturing live classroom discourse and providing insights to teachers about student misconceptions and ideas.
What is Glenn Kimman's view on the role of AI in classrooms of the future?
-Glenn Kimman sees AI agents as another element in the classroom, playing various roles to support teachers in their tasks, while emphasizing the importance of maintaining the human aspects of teaching and learning.
What is the potential risk of using AI in education that Janet Vbe highlights?
-Janet Vbe highlights the risk of widening the digital divide, where AI might be used as a substitute for human teachers in lower socio-economic schools, potentially leading to less engagement and a poorer learning experience.
How does Ian Martinez relate the use of AI in education to student engagement?
-Ian Martinez suggests that student engagement comes from relationships with teachers and classmates, and warns that using AI as a delivery system for personalized education could lead to a lack of engagement if it replaces human interaction.
What is the key takeaway from the discussion according to the closing remarks?
-The key takeaway is the importance of intentionality in using AI in education. Educators should focus on the big challenges they face and consider how AI can be used as a tool to help meet those challenges, rather than just adopting AI for its own sake.
Outlines
🌟 Introduction to Redefining Teaching with AI
The script opens with Anel Aurora warmly welcoming participants and setting the stage for a discussion on redefining teaching through AI. Despite last-minute changes, the panel, consisting of various experts, is introduced. The conversation aims to focus on improving educational outcomes for young people by examining the role of AI in enhancing the teaching and learning experience. The panelists share brief introductions of themselves and their organizations, highlighting their diverse backgrounds in education, AI, and global think tanks.
🚀 Envisioning AI in Education by 2030
Jose from Men Latin America discusses the potential of AI to support low-income schools in Latin America, where technology is limited. He emphasizes the need for AI to assist overworked and under-skilled teachers by providing high-quality educational tools and automating tedious tasks. Unice from Life Working in the Mina region focuses on deploying AI systems nationally while reducing costs, suggesting the use of smaller models and data collection through the systems themselves. The discussion hints at the challenges of scalability, quality, and ethics in AI integration.
🛠️ The Role of AI in Enhancing Teaching and Learning
John, an education futurist, warns of the dangers of rushing AI implementation without ensuring quality. He stresses the importance of human control over AI tools and the need for ethical considerations. The conversation explores the potential of AI to act as a personal coach for students and teachers, with the goal of improving educational engagement and outcomes. Concerns about the digital divide and the potential for AI to exacerbate existing inequalities are raised.
🤖 AI as a Collaborative Tool in the Classroom
The panelists discuss the various roles AI could play in the classroom, such as assisting teachers with lesson planning and providing personalized learning experiences for students. Concerns about the potential reduction of the teacher's role and the risk of increasing achievement gaps are addressed. The conversation highlights the importance of intentional use of AI to support, not replace, human interaction and collaboration in learning.
🌐 Bridging the Digital Divide with AI in Education
The discussion turns to the challenges of deploying AI in different educational contexts, particularly in low-income environments. Panelists emphasize the need for AI solutions that do not widen the digital divide and instead assist in closing educational gaps. The importance of creating AI tools that are contextually relevant, affordable, and capable of enhancing the teacher's role is underscored.
🌱 The Human Element in AI-Enhanced Education
The panel reflects on the importance of humanity in education and the role of AI as a tool to augment, not replace, human connection and emotional engagement. There is a call for balance, ensuring that AI implementations do not detract from the joy and personal connections that are vital to the learning process. The conversation suggests that AI should be used to free up teachers to focus on the emotional and relational aspects of teaching.
🔮 Looking Ahead: The Future of AI in Education
In the final paragraph, the panelists consider the future implications of AI in education. They discuss the potential for AI to support collaboration and classroom interaction, as well as the need for careful implementation to ensure that AI serves to enhance, rather than detract from, the educational experience. The conversation concludes with a call to focus on the challenges faced by educators and how AI can be intentionally used to address these challenges.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Teacher Support
💡Student Engagement
💡Educational Equity
💡Low-Income Schools
💡AI Tools
💡Collaboration
💡Vision for AI in Education
💡Challenges
💡Implementation
Highlights
Introduction of the roundtable focused on redefining teaching through AI.
Panelists share their backgrounds and organizations, emphasizing their work in AI and education.
Jose discusses the challenges in Latin America with low-income schools and the potential of AI to assist low-skilled teachers.
Eunice highlights the focus on reducing deployment costs for AI in public sector education and the importance of making AI affordable for widespread use.
John raises concerns about the quality and scalability of AI in education, emphasizing the need for human oversight and control.
Fernando emphasizes the need for AI to support collaborative and project-based learning in addition to individual learning.
Discussion on the potential of AI to help teachers manage classrooms and provide personalized feedback to students.
Glen warns about the risk of widening educational inequities with AI, especially in less affluent communities.
Panelists agree that AI should be used to enhance, not replace, the role of teachers in the classroom.
Jose and Eunice discuss the importance of local context and culturally relevant content when deploying AI in education.
Discussion on using AI to automate administrative tasks, allowing teachers to focus more on high-value interactions with students.
Importance of ensuring AI tools are designed to support the emotional and social aspects of learning, not just academic outcomes.
Concerns about AI being used predominantly in low-resource settings, potentially leading to a lower quality of education for those students.
AI's role in capturing classroom interactions and providing teachers with insights to improve teaching strategies.
Final thoughts on the necessity of having a clear purpose and intentionality when integrating AI into education to address existing challenges effectively.
Transcripts
good afternoon everyone um thank you
thank you all for being here I know
there have been some changes last minute
on some of the folks um that are going
to be here but a very very warm welcome
um my name is anel Aurora from Advanced
group um work closely with with SE on on
a couple of projects um today we're
going to talk about redefining teaching
through AI um and with AI and I know
there's been so many topics over the
over the course of the morning already
and so many discussions around AI um we
have conversations at assist Sy level we
have conversations um on leadership we
have conversations on curriculum on data
but ultimately if we think about the
purpose of what we're trying to do we're
trying to improve outcomes for young for
young people and the interaction between
a teacher and a student is the
centerpiece and front you know of of all
of that broader ecosystem so I to me in
a bi maybe I'm biased I think this is
the most important topic which is the
teaching and learning experience and how
that gets fected and potentially
Amplified by AI um we have a wonderful
group of of panelists um and Roundtable
members here I thought we could just
start with a very very brief
introduction if you could just please
share your name um the organization um
that you're from and maybe just one
sentence um on the organization um and
maybe stav we could start with you if
that's all right okay just because to
keep it really short stavos yanuka I'm
CEO of wise which is a global think tank
of kar Foundation
that uh studies Innovation
education hi Fernando Castillo Nando I'm
the chief learning officer at mentu we
are a startup that's building AI um
tools for
teachers um hello I'm Jose Rafa esposa
I'm the CEO of
men good morning everyone Ian Martinez
head of school ATK International School
Riyad good morning I'm Janet vbe I'm a
director of a symphony zor Academia and
uh I'm also working for operation
education in the
Netherlands I'm John morac and I know
operation education uh pretty well in
the Netherlands uh but I'm an education
futurist I do a lot of Consulting and
research mostly for the United Nations
system um and also edited a journal on
the horizon which is the international
Journal of learning
Futures hi everyone I'm Glenn kimman I'm
a senior adviser at the Stanford
University accelerated for learning and
also here as part of the Coen Consortium
on school networking uh group thank you
I'm Unice bensa Mori I'm an adjunct
lecture of computer science at Stanford
and also founder of life. working on AI
education for public
sectors thank you thank you all um so
the way we were going to organize the
round table is really in three parts um
we're going to start a little bit with a
visioning um of what folks think um a
vision for redefining teaching could
look like um a second is a little bit
around the challenges that might be
there and the last is potentially a path
for educators in schools today what
could be activities and and undertakings
to kind of go on the positive path um
towards that Vision so in starting with
that Vision um I was speaking with a
friend this morning who was like you
know I go to lots of panels but I don't
know if I get some Earth shattering
Insight so to put you on the stage um
maybe we have two entrepreneurs here who
are working on trying to redefine Vision
um of of how AI can be used in teaching
and I thought maybe we could start with
the two of you Jose and Eunice um
sharing a little bit of how you see
let's say if we were to look five years
out maybe 2030 um what could be the
vision of what teaching and learning
would look like if AI was used in a best
case kind of scenario um would either of
you like to open you can go if you want
um okay thank you um so we we just a
little bit of context we are um Latin
America Focus organization we work
mainly with lowincome schools private
both private and public schools but uh
low income um and we that that means
that we have several constraints right
we we work in lowtech environments the
only uh technology available or device
available um in the school in the
classroom is the teacher smartphone and
probably they don't even have internet
connection
um or it's likely um and uh
unfortunately there are there are low
skilled teachers um probably they are uh
teaching math even though they were not
Tre trained in math um so that that to
give you just a little bit of context
according to the regulation they should
be spending 70% of their time working in
class with students and 30% of their
time preparing lessons reporting is the
truth is they do spend 70% of the shift
working with their students in class but
they spend another
70% uh of a regular shift working on
other um and probably they also have a
second job uh because the pay is not
good and probably that second job is not
necessarily in teaching but as a taxi
driver or or an Uber or or a restaurant
right so so that is in that context a
teacher needs to prepare a great lesson
uh needs to be able to understand very
well how their students are doing they
they she needs to um curate and select
the best materials for tomorrow's lesson
uh and probably she has a bit of um some
challenges in the classroom students
with differentiated needs um conflict
cognitive challenges motivational
challenges so then the question is what
is the role of teaching today in that
sense it's a very challenging role but
what if technology can help a little bit
with that right uh what if um we can
help that
low-skilled teacher in a loic
environment curating best in-class tools
um to help teachers actually in in very
in a short period of time be able to
bring those best-in class tools to their
students um when we talk about best-in
class we're not necessarily talking
about Stanford or we are working with
Stanford but we are also talking about
best-in-class tools developed locally
that have a lot of evidence uh that that
that can work precisely through that
context um what if we can can help
teachers automating things that are
cumbersome even boring and so they can
dedicate more time to um more high value
activities with their students and what
if we can help them assessing their
students um er quicker using their
phones to to understand how each of
their students are doing on reading
fluency uh 70% of Latin American 10y 10
year-old students don't understand a
simple text when they write when they
read so what if we can help teachers run
formative assessments on a continuous
basis um and so on and so on we we we
believe that AI has this if done right
it has a lot of challenges and we I'm
here to discuss that as well and I have
a list of concerns that at some point
keep me awake up night but at the same
time I think there's a lot of potential
if we can use AI to bring like this type
of support that can help the type of
teachers that we want to work with to
actually Empower them make them better
teachers have a better work style a
lifestyle like work uh and eventually
improve learning outcomes so so Jose if
I can play back simplistically what I
took away you have a vision that a
teacher could have a set of content and
tools which are from the best in the
world
with them in a classroom to make their
life more efficient and to make their
teaching more effective with a student
is that a fair summary um wonderful
Unice if you can if you could build on
what you think the vision is a few years
out and feel free to be bold as you like
thank you definitely agree with what
Jose uh mentioned just a brief
background uh we're mainly focused on
the Mina region uh North Africa you know
Arabic speaking uh countries and I
personally come from a background doing
Ms so usually deploying in millions of
Learners in when doing such systems and
our main focus is specifically public
sector education from the government
side so uh for example in the US uh when
you look at the ratios of administration
versus Educators you you tend to find
around the 50/50% ratio uh in private
sector you tend to find 75 25% ratio
more Educators than admins which makes
things more efficient
in terms of costs you look at uh it's
almost 50% more expensive in terms of
raw costs for someone to go through the
public sector just because of all of the
you know overall you know operations
that are extra over there and one of the
main things that uh we've been looking
at is how to deploy such systems on a
national scale by reducing the costs and
one thing that's always like to say when
you look at chat GPT subscriptions for
example they cost $20 a month when you
go to any country even though like we're
working with Saudi Arabia or Qatar or
Kuwait or different entities you just
cannot charge $20 per user per month
because it's just too expensive and the
most you can charge at least from you
know going into the market and seeing
what things are like it's probably
around $10 per year which is around less
than a dollar per month when you look at
Raw costs of gpus and all it just
becomes almost impossible to do that so
one of the things that uh we've been
focusing on is how can you reduce uh the
deployment costs for such countries how
do you you know uh could use smaller
models uh that could potentially run on
the browser how could you uh uh you know
reduce the cost on the operating side of
the admin to educat your ratio and we've
seen a tremendous amount of you know low
hanging fruits uh when it comes to uh to
to that side the other thing is of
course different countries tend to have
different uh uh problems you can't just
use a plug andplay a large language
model so you need to actually do the
fine tuning you need to do the data
collection mechanism and when you look
at open ai's you know costs uh main
source of of funding you see like they
have like $30 billion in Investments
most of it actually goes in data
collection then compute power so you
cannot expect a government that you know
their entire budget is a few billion
dollars to go and build an equivalent
large language model so one of the
things that we've done is we deploy such
systems to help us collect the data sets
and think of it as two business models
you can either have like the wayo the
self-driving car of Google where you
hire someone that collects the data sets
for you or you can have Teslas where you
sell the the car and then you can have
three million people driving and
collecting the data sets for you which
is a much more efficient way and use of
resources for these countries so that's
another angle that's you know we've been
anchoring on to allow these countries to
go below the $1 per user per month you
know price point to be able to to deploy
such systems that Jose was was talking
about so when I think about the vision
that Jose is sharing which was very much
in a classroom or a school and you think
about it how do we get that kind of
quality to a much wider audience across
the system by bringing down costs and
looking at a data um let me open it up
to the rest of the group um John I know
you you're a futurist um I was I was
looking last night at the books you've
written and thinking about the future of
of what learning might look like um do
you have any thoughts and comments of
when we and feel you know look few years
out what could teaching look like well
you know I think um especially speaking
to the Latin context right Latin
American context no
yeah no it's just a hammer right like a
tool right with hammers you could I mean
the best I can use a hammer for is
hanging pictures that's about the extent
of my skill in using it you can make
beautiful stuff with a hammer right you
can kill somebody with a hammer
on purpose or by accident too and so we
have to view these these things as tools
for what they are um the real danger
here and you're you're just touching on
it I think is a question of quality I
think that there's a there's a rush to
think that this stuff is effective and
is cheap AI does not scale very well in
National context it gets really
expensive really fast and then there is
the question of quality and I've been on
so many meeting need so many calls um
largely with companies uh in the Latin
American Market are like okay let's
create create create create content
create content create content and
literally say don't worry about quality
you have people who are working on that
yeah right so if there's a push to use
there's a push to create but the the
quality controls the human controls just
quite aren't there yet so as we look
towards the future because AI tools
right now are incredibly dumb they they
know literally nothing there is no
knowledge in there it's just you know an
algorithm's best guess as to what you
want to get out of it but you know once
they they once we start to develop
machines that actually build knowledge
or can create new knowledge with you I
think there's some possibilities but we
have to look at at the scalability
questions uh that were that are totally
related to this right right now we rely
on a handful of companies who have you
know Monopoly on the entire conversation
right and you see this with uh if you're
using chat gbt or other other things you
asking questions about using AI in
education and no matter what what it
spits back in you always includes
something about yeah you have to be
ethical in the use of AI right this is
because a company wants to offload the
responsibility of Ethics onto US onto
each of us rather the companies
themselves and so the question is when
we get responses like that are we
programming the machines or are we just
simply program
ourselves um I feel like we jumping deep
into some of the the challenges right
which is around quality which is around
ethics which is around cost I'm just
going to hold us back just for a few
minutes before we look at the challenges
if we were to say okay in the years to
come we're going to find certain ways to
overcome these challenges what's the
dream what's now that you you you know
you're being a teacher in a classroom
and uh if I think there there's a
conversation yesterday with Brookings
and they talked about how young people
need to be anchored in the sense of
purpose and ethics
they need to be able to build great
relationships they need to have joyful
learning which is all the softer side
and on the other side there's all the
learning stuff right so share like what
could be an aspirational vision of what
teaching looks like with AI a few years
down the line do you have a thought or
do others
health I I can think of two different
ways of using AI for teaching one is uh
from the perspective of the teacher in
most in line with what Jose has been
saying supporting the teacher in the
educational tasks that the teacher needs
to do not in the classroom uh planning
classes reviewing students work finding
information to teach creating content
for students that's a lot of the work a
teacher does and it takes a lot of time
and I can see a a large role there for
AI to support all of those tasks uh to
help us create better content to help us
find better content that is already
created by others and use it maybe
adapting it locally to our context
through the AI and uh I can see a a
great uh future there for both teachers
and students and uh then the other part
is actually using the AI to learn and in
the classroom and I feel that the first
part is mostly focused on individual
learning and uh me using the AI as a
teacher to be more efficient to or as a
student to grasp Concepts more quickly
to have personalized information and
things I'm interested
in but I think the other piece that
we're not asking enough about is how can
we use
AI to support collaboration to support
Project based learning to support
inquiry based learning and I see another
very interesting route there where the
AI is more like a collaborator with both
the teacher and the student and it can
help both it can help the teacher manage
a little bit of that messy classroom
that comes out of those more modern
pedagogies um and uh on the other hand
uh it can support students by helping
the teacher be in places they cannot be
so if I am teaching in a pbl classroom I
cannot listen to every student and uh
some of the things the students say get
lost like like things get lost here
we're not writing anything down so as
soon as I stopped talking this has gone
away and that's why we invented writing
in humanity that's one thing that I
think we can do with AI capture the live
classroom discourse and make it
persistent and something something that
you can talk about so the teacher can
ask the AI what miscon ceptions did my
students Express in their thinking uh
what interesting ideas did Anu have that
I can connect with others uh what
questions are still pending and I think
those are supports for collaboration
that are more at the group level than at
the individual level thank you Nando you
know um what you're sharing makes me
think of a conversation I had with
someone leading Google for Education
about six months ago and he said you
know we've been working with all types
of of online learning over the last you
know couple of decades and he said what
I think is the most powerful here is
we've never had a personal coach for
students or for teachers and we have the
ability to have a one-on-one personal
coach and amongst the many things that
you're say sharing for him that one
stood out as potentially the most
powerful how do people Rea react to that
is that the most powerful or you think
there's others that are the most
powerful glenties I I worry about
calling one the most powerful but I
agree a lot with what's been said and
what what Fernando just said but I think
if we really looking down the road you
know classrooms have always been there's
a teacher there are students there may
be teachers AIDS there are textbooks
Maybe videos there's a set of elements
that are in interaction and I see it as
down the road will'll have another
element that are AI agents and they can
play many many roles and certainly when
I talk with school folks I think the
starting point is helping teachers
develop lesson plans personaliz lessons
but there are so many different things
AI can do and our challenge is to figure
out how to maintain good quality or
create good quality in the classroom
with these agents how to reinforce and
further the role of teachers in doing
the many many things that only teachers
can do we were in a classroom with the
coing group yes they a wonderful
Elementary classroom and in each
classroom there were interactive things
going on they were doing robots they
were doing all kinds of things and there
was this joy and there was this Joy
between the students and the teachers
and that's not what AI creates and there
was trust and there was
inspiration so I think we really need to
focus on another element in the
classroom that allows the teacher to be
a more powerful teacher and spend more
time with the students but I don't know
if do I have to hold off on the negative
view of that I flip between the two um
you know on the other side that there's
this idea that AI will just to to
students that the teachers role will be
reduced rather increased which I think
would be dis disasterous um and I
particularly worry this is the US
context right now applies elsewhere
around the equity and inclusion issues
um you know AI can be a tremendous asset
for students in our country who are
English language Learners can do having
the immediate translation it can provide
feedback it can do all kinds of things
but I worry we could see in the future
that the students in the more
impoverished environments are getting a
lot of time with AI basically as that
teacher or tutor and they're being
prepared for tests and to do sort of
very standard stuff where in the more
privileged environments they have high
quality human teachers and they're
learning how to how to be in control of
the AI and use the AI so I think as we
look ahead we really have to keep in
mind the dangers of this driving our
opportunity and achievement gaps to be
bigger rather than smaller how do how do
others react to that is this a potential
equalizer where we can get you know for
example these modern pedagogies that we
could help teachers better less plan
these modern pedagogies when they don't
have that training and therefore it's
beneficial to lowcost environments or is
it something that's going to be a
greater you know great greater divide
what do what do others
feel just J real quick I I really see
these as a c as assist of Technologies
uh more than anything um one one thing
we're piloting out this is with the
World Bank is is using uh AI to to help
measure the development of hard to
measure skills and competencies um this
related to the fol program so it's like
uh entrepreneurship or your creative
Visionary these sort of things are
really hard to tell or really hard for
mentors to work with especially with
written works so just just a quick pilot
just taking inputs from mood and the
form of portfolio pose or essays be
readback and do a lot that really try to
offload that cognitive processing that a
mentor or teacher I mean it takes a lot
of work to to really read and create
these sort of value judgments and
provide feedback does it replace the
teacher the role no but it helps with
that initial review at least and help
offloading a lot of that cognitive work
and the results we had so far are
actually quite promising um so so as you
know I don't mean as much as probably
sound like a contrar a little bit before
on AI though I think the realistic view
is that it's you know that if we look at
as a as an opportunity for collaboration
or co-creative work it really does help
offload a lot of that cognitive work and
let to allow time for teachers to do
things that teachers should be doing
thank you um go ahead so so to your
question on on the digital divide I
think it depends on the type of product
that us as entrepreneurs would be
building right um I was in San Diego for
ASU gsv the largest tech event uh two
weeks three weeks ago and we we were
walking down the aisle asking all of
them H do you need a a student device
for your tool to work uh yes everyone
required a device for their students and
that doesn't work in the Latin American
context if that tool is going to be
deployed then the Gap is going to be
widen um so the question is how and and
you have to do that not only in terms of
device but in terms of the language in
terms of the learning model in terms of
at so many different levels you you need
to be very aware of this is an assisted
tool what is what we are going to be
bringing to the specific context to
close the gap instead of weding it what
El I can just build on that I think I
think it's interesting
that concerns around quality Equity tend
to emanate from uh from the affluent uh
West and I I'm not I'm not minimizing
the the concerns in in any way but I I
think it's interesting that you know you
started by having us sort of paint some
kind of idealized picture of what um
what good you know teaching and learning
you know with AI looks like uh and then
to a certain extent if you start from
that vantage point then you know the
problems kind of fall out naturally what
what should we be worried about what
should we um you know look look out for
if you start though with the premise
that that Jose kind of briefly alluded
to but we kind of then quickly glossed
over it which is at the moment you have
contexts um in in Lam it's probably
worse than subsaharan Africa and and you
know parts of South Asia where with the
current human only let's call it system
we have essentially failure rates you
know of 70 to 80% where you not getting
kids you know age 10 cannot read they
cannot do basic arithmetic you start
from that and then you ask yourself okay
if I deploy this technology can I you
know can I start changing that
picture then you you start maybe
thinking in a slightly different you
know more pragmatic way which is to say
okay you know okay I've got what can I
work with well most teachers have you
know at least an
Android uh phone right so so let me see
if I can do um if I can use AI to make
their life easier we know that they're
not going to you know this is not going
to transform them into super teachers uh
by any stretch of the imagination but is
it going to allow them to do their job
that little bit better so that the kids
can learn to read write and do basic
arithmetic and I think for those of us
who are you know working in in uh uh in
in emerging contexts that's really what
we need to worry about more than can I
you know get to this idealized you know
uh standard of of of teaching and
learning again don't mean to minimize
the the concerns and the dangerous but
but I think the framing of it depends
very much on your on your context yeah
absolutely and you I appreciate that and
at many years ago I was at EDC for many
years and we did a lot of work in
subsaharan Africa and it was radio
education because radio was the only
technology to deliver it so now that we
have a much more interactive powerful
technology they're great things to be
done absolutely agree it's all context
based we also tend to have these Global
conversations and they need to separate
things you know what this means for a
first grader learn to read versus a high
school student studying calculus um and
everything in between it's not the same
and we have to be cautious of making
these Global statements about it
you you know on that GL yesterday there
was a slide put up by Rebecca and the
Brookings team showing student
engagement and the level of happiness
and engagement of students at different
age groups I think this was for the US
context and yeah exactly right which is
you looked at grade three or so and
there was 75% of children who said they
felt very engaged with learning and as
you went for grade to grade to grade it
slowly dropped from 75% to Children
feeling TW average on average 25 % of
students feel engaged by the time
they're in I think it's already eth or
nth eighth grade or so and it stays at
that level so when when you look at that
context and you think is that going to
get affected in any way or improved or
not improved with the kind of
conversation that we're having does
anyone have any thoughts or comments and
feel free to come in at any point as as
you feel fit yes well um for me
artificial intelligence I I I think is
is like any other technology or at least
um it is accelerating things um but what
is most important before we are able to
use it properly is that we use the
humanity the the skills we actually need
to be human uh so I actually uh working
on a program which is opposite from
artificial intelligence um because if we
don't know who we are and what we
actually um doing to ourselves to each
other how how can we then trust on on
the technology so uh for me um and the
other thing it is um I mean most
children are or most people are and also
this events have been on their mobile
phone all the time um whereas that's not
the real world the real world is us you
know looking in the eyes and have fun
and and the energy um which we all going
to lose out when we you know do too much
with artificial intelligence
so um and there's indeed one thing all
people have in common all over the world
is they want to be
happy and happiness is not what is given
by the market at the moment that's
pleasure happiness is something that's
is given to you it's for free
um it's you don't have to do anything
for it and you feel great ful and that
is something which is content and it's
staying with you so you know I'm very
grateful to be here and I take it with
me and I'm happy to share this
information because I hope it's very
important that you're conscious that
artificial intelligence is not going to
give us
Humanity
so we should use it as a as a tool um
that's my opinion so is it that what I'm
starting to he hear from the group want
say no to follow up glad to hear that
because any anytime I have students or
anytime I have students or
families discussing something with me in
my office there's an issue there's
anything I always tell them that the
most important for us as a school
Community is to have students who are
happy because when you're happy you're
going to be it's going to be easy to
learn anything uh so the emotions and
going back to what also um igno Martinez
mentioned this morning um it's it's very
important that we feel alive in the
class and we it is proven already that
that uh you learn better when there are
emotions involved you remember things
better when you're feeling this these H
emotions and what you really what you're
learning about resonates with you is
always uh better so that's something
that I just uh wanted to to highlight
however and going back to what you
mentioned of a student
engagement what we're going to see
happening more often in the following
months hopefully only until we're able
to
um um handle the steering wheel and and
move everything to where it should be or
use the artificial intelligence properly
as you mentioned earlier are students
who see in the artificial intelligence
way to do things faster and simpler
maybe with not much quality uh families
who would be worried about it so
probably that's going to be one of the
immediate challenge that we are all
seeing at at schools the role of
teachers in providing um tools tasks
activities experiences for them to uh
use other tools also artificial
intelligence but to have other tools and
set of skills is very very very
important and something completely out
of the but I believe we mention all of
these things just one that I I believe
is very interesting linked with
artificial intelligence and with what
stabos mentioned earlier is that there
are schools with uh members of a staff
fully devoted to analyze data thata
coming from from assessments or
standardized test etc etc to me it's
very interesting how artificial
intelligence could help in analyzing
this data for us and helping us Point uh
to where should we focus our efforts in
terms of learning
wonderful go ahead I I want to talk to
the engagement piece of bit and uh my
sense there is and following up on
something Glenn said there's a danger of
equity in
putting lower socio economic status
students in schools who work with AI to
have an automated teacher and more
affluent students to have a real person
and my sense is that engaging ment even
though I see my
kid very interested in his video games
does not come from your relationship
with the computer but through your
relationship with another person and
engagement in the classroom comes
through that relationship of trust that
you build with your teacher with your
classmates and with the content if we
remove two of those the teacher and the
classmates and leave only the student
and the content I believe there's rarely
going to be engagement and I see a trend
mostly in developed countries like the
US where that's what's happening to less
affluent communities I see schools I
visited a friend in Oklahoma a few weeks
back and he told me his kids in high
school mostly have math class with an
online tutor they rarely have a math
teacher and their math teacher is not
somebody who can
have a good discussion about a
math and that's what really engages you
and gets you interested in math unless
you have that conversation with a person
about the interesting details of that
problem you're not going to get engaged
by watching Can Academy videos or
repeating drill and kill
exercises so to connect finally with my
last part I'd say as long as we use the
AI to to help us collaborate to help us
connect with others that will create
more engagement if we use it as a
delivery system for that view of
personalized education where everybody's
in their own Silo doing their own thing
that's not going to be engaging for
any yeah I'll just mention in support of
that this this is all at the you know
experimental stage but we have a lot of
work at Stanford looking at AI for to
support collaboration and collaboration
learning as a question is is the AI
agent a member of the collaborative team
is it a coach for the team is it a coach
for individuals do you have a something
saying hey stop talking too much or make
sure you picked up that point uh there's
so many different roles it can play uh
but there have been some interesting
things where I'm every once in a while
yeah it just shocks me I think we all
have this experience it did that where
it was coaching a simulated team and it
was very much right on it was chat GPT
4.0 there's also research by ad msky of
AI analyzing classroom interactions so
really serving as a coach to the teacher
and picking up you know are you asking
questions that are closed so you just
get these brief answers from students
are you only engaging certain some of
your students and not others so I think
we take a step back just having AI
contribute to the kind of interactions
we want to see uh could be a very
important asset yeah which which uh I I
know we're on time which I guess comes
to the heart of what intentionality
right what I'm hearing music group which
is if we have a very clear sense of
purpose of what we're trying to do with
young people if they are happy in the
deeper sense of have a sense of purpose
and ethics and grounding and
relationships and we make sure that is
the front and center of teaching and
learning and then very intentionally
think about where can AI as a tool help
with the kinds of things you were
talking about such that implementation
you were saying when you come down to
implementation it veers toward work that
Vision that we really have um I know
this this the time was short but but
thank you um to each and every one of
you and if someone has a a dying last
word there welcome to otherwise we'll
we'll wrap it up uh wrap it up there not
dying but I can bring I think we we hit
our important things when I talk to
education leaders and policy makers
theme is always you know AI is here and
people are going what do we do with this
AI That's not the right question for
educators we know we have the equity
gaps we know we have future Workforce
gaps in future shortages we know we have
problems with student engagement and
learning the list can go on but I think
we have to step back as educated as
these are our big challenges how can we
use AI to help meet them not what the
hell do we do with this AI to just
appear in our classroom yeah thank you
man thank you thank you to each and
every one of you thank thank you
thanks sorry stos if I cut you off at
the end we we've met before was it at
the at Brook
I'm were you the one in
palro yeah that's where it is February
10 yeah well pic like before and
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