can machine think it’s really useful to let them think these are two question
let them think these are two question
let them think these are two question that I posed at the end of a previous
that I posed at the end of a previous
that I posed at the end of a previous talk of mine the first question is
talk of mine the first question is
talk of mine the first question is related it has been proposed by Alan
related it has been proposed by Alan
related it has been proposed by Alan Turing 1950 and Israel is related to
Turing 1950 and Israel is related to
Turing 1950 and Israel is related to artificial intelligence this is what we
artificial intelligence this is what we
artificial intelligence this is what we call strong artificial intelligence if I
call strong artificial intelligence if I
call strong artificial intelligence if I ask you to define what artificial
ask you to define what artificial
ask you to define what artificial intelligent is you probably would answer
intelligent is you probably would answer
intelligent is you probably would answer with one board robot and this is
with one board robot and this is
with one board robot and this is strictly connected to the notion of
strictly connected to the notion of
strictly connected to the notion of artificial intelligence because a robot
artificial intelligence because a robot
artificial intelligence because a robot is an intelligent agent that have that
is an intelligent agent that have that
is an intelligent agent that have that that needs to have certain features
that needs to have certain features
that needs to have certain features natural language processing machine
natural language processing machine
natural language processing machine learning automated reasoning knowledge
learning automated reasoning knowledge
learning automated reasoning knowledge representation planning and perception
representation planning and perception
representation planning and perception but unfortunately we are far away from
but unfortunately we are far away from
but unfortunately we are far away from achieving this the second question is a
achieving this the second question is a
achieving this the second question is a really useful do like machine think it’s
really useful do like machine think it’s
really useful do like machine think it’s connected to the ethics of artificial
connected to the ethics of artificial
connected to the ethics of artificial intelligence professor Stephen Hawking
intelligence professor Stephen Hawking
intelligence professor Stephen Hawking says artificial intelligence is going to
says artificial intelligence is going to
says artificial intelligence is going to be probably the worst things that happen
be probably the worst things that happen
be probably the worst things that happen to humanity even worse that nuclear
to humanity even worse that nuclear
to humanity even worse that nuclear weapons and climate change element said
weapons and climate change element said
weapons and climate change element said with artificial intelligence we are
with artificial intelligence we are
with artificial intelligence we are summoning the demon do not panic there
summoning the demon do not panic there
summoning the demon do not panic there is another definition of artificial
is another definition of artificial
is another definition of artificial intelligence which is neuro of
intelligence which is neuro of
intelligence which is neuro of artificial intelligence also known as
artificial intelligence also known as
artificial intelligence also known as WIC artificial intelligence this is the
WIC artificial intelligence this is the
WIC artificial intelligence this is the state-of-the-art of artificial
state-of-the-art of artificial
state-of-the-art of artificial intelligence we are good at narrow tasks
intelligence we are good at narrow tasks
intelligence we are good at narrow tasks and ease with this definition of
and ease with this definition of
and ease with this definition of artificial intelligence that I would
artificial intelligence that I would
artificial intelligence that I would like to answer a question how can we
like to answer a question how can we
like to answer a question how can we empower education with narrow artificial
empower education with narrow artificial
empower education with narrow artificial intelligence when I was kid I went to
intelligence when I was kid I went to
intelligence when I was kid I went to crush like probably most of you I was
crush like probably most of you I was
crush like probably most of you I was having fun experiencing joy I was self
having fun experiencing joy I was self
having fun experiencing joy I was self exploring things I had the chance to
exploring things I had the chance to
exploring things I had the chance to play with my curiosity
play with my curiosity
play with my curiosity that was a dream at the age of nine my
that was a dream at the age of nine my
that was a dream at the age of nine my mom bought a computer was a an Intel 286
mom bought a computer was a an Intel 286
mom bought a computer was a an Intel 286 processor
processor
processor yet the five inches floppy disk and not
yet the five inches floppy disk and not
yet the five inches floppy disk and not one but she didn’t know what a computer
one but she didn’t know what a computer
one but she didn’t know what a computer was I taught myself how to code how to
was I taught myself how to code how to
was I taught myself how to code how to write software I was playing with my
write software I was playing with my
write software I was playing with my creativity nor through my passion
creativity nor through my passion
creativity nor through my passion developing my passion nor through my
developing my passion nor through my
developing my passion nor through my talent that was a dream then I moved to
talent that was a dream then I moved to
talent that was a dream then I moved to secondary school I didn’t want to wake
secondary school I didn’t want to wake
secondary school I didn’t want to wake up I wanted to stay in bed all the time
up I wanted to stay in bed all the time
up I wanted to stay in bed all the time so my mum come to the room look I wake
so my mum come to the room look I wake
so my mum come to the room look I wake up a fever you don’t have fever so she
up a fever you don’t have fever so she
up a fever you don’t have fever so she gave me a thermometer
gave me a thermometer
gave me a thermometer she went to the kitchen preparing the
she went to the kitchen preparing the
she went to the kitchen preparing the back breakfast beside my bed I had a
back breakfast beside my bed I had a
back breakfast beside my bed I had a little lamp I put a place the
little lamp I put a place the
little lamp I put a place the thermometer on top of the lamp
thermometer on top of the lamp
thermometer on top of the lamp straightaway 38 she came back so
straightaway 38 she came back so
straightaway 38 she came back so sometimes I am managed to stay in bed I
sometimes I am managed to stay in bed I
sometimes I am managed to stay in bed I was cheating but why why 50 percents of
was cheating but why why 50 percents of
was cheating but why why 50 percents of students of learners are disengaged in
students of learners are disengaged in
students of learners are disengaged in our current educational system there is
our current educational system there is
our current educational system there is a gap between the way we teach and the
a gap between the way we teach and the
a gap between the way we teach and the way we learn the way our brain actually
way we learn the way our brain actually
way we learn the way our brain actually learns
learns
learns imagine the next line teach and imagine
imagine the next line teach and imagine
imagine the next line teach and imagine the mental workload imposed on learners
the mental workload imposed on learners
the mental workload imposed on learners from teachers and then imagine a wide
from teachers and then imagine a wide
from teachers and then imagine a wide line learning the relationship between
line learning the relationship between
line learning the relationship between teaching and learning follow a new shape
teaching and learning follow a new shape
teaching and learning follow a new shape distribution there is some students who
distribution there is some students who
distribution there is some students who are bored in class other students
are bored in class other students
are bored in class other students perceive instructional material adverse
perceive instructional material adverse
perceive instructional material adverse complex so the learning is minimized and
complex so the learning is minimized and
complex so the learning is minimized and there are a group of students who enjoy
there are a group of students who enjoy
there are a group of students who enjoy the class and experience optimal
the class and experience optimal
the class and experience optimal learning that means the current
learning that means the current
learning that means the current educational system based on
educational system based on
educational system based on standardization it’s not really working
standardization it’s not really working
standardization it’s not really working one fits all solution doesn’t work
one fits all solution doesn’t work
one fits all solution doesn’t work anymore we need to have personalization
then I didn’t want to continue my
then I didn’t want to continue my studies of after the high school I went
studies of after the high school I went
studies of after the high school I went to a software house I was playing with
to a software house I was playing with
to a software house I was playing with what I like I was writing software eight
what I like I was writing software eight
what I like I was writing software eight hours a day I was enjoying but there was
hours a day I was enjoying but there was
hours a day I was enjoying but there was something missing
something missing
something missing I was not learning anymore so at some
I was not learning anymore so at some
I was not learning anymore so at some stage I decided to go back to college
stage I decided to go back to college
stage I decided to go back to college why College was good for me I had the
why College was good for me I had the
why College was good for me I had the freedom of choice so what about
freedom of choice so what about
freedom of choice so what about education today do we really need a
education today do we really need a
education today do we really need a reformation no we need the
reformation no we need the
reformation no we need the transformation so why don’t we use what
transformation so why don’t we use what
transformation so why don’t we use what we are good at NAR of artificial
we are good at NAR of artificial
we are good at NAR of artificial intelligence to actually empower
intelligence to actually empower
intelligence to actually empower education I want to answer this with the
education I want to answer this with the
education I want to answer this with the knife cycle on the X line we have the
knife cycle on the X line we have the
knife cycle on the X line we have the time line the maturity of these narrow
time line the maturity of these narrow
time line the maturity of these narrow tasks from artificial intelligence our
tasks from artificial intelligence our
tasks from artificial intelligence our technologies and on the wild line we
technologies and on the wild line we
technologies and on the wild line we have the visibility of these
have the visibility of these
have the visibility of these technologies and expectation we put on
technologies and expectation we put on
technologies and expectation we put on them this is not a scientific cycle in
them this is not a scientific cycle in
them this is not a scientific cycle in nature is my understanding
nature is my understanding
nature is my understanding interpretation of the present and my
interpretation of the present and my
interpretation of the present and my vision for the future so here we have
vision for the future so here we have
vision for the future so here we have artificial intelligence which which is a
artificial intelligence which which is a
artificial intelligence which which is a trigger of innovation for education we
trigger of innovation for education we
trigger of innovation for education we have a optimization and distributed
have a optimization and distributed
have a optimization and distributed computing this is what we call nowadays
computing this is what we call nowadays
computing this is what we call nowadays cloud computing free tech book textbook
cloud computing free tech book textbook
cloud computing free tech book textbook online free content we can play with
online free content we can play with
online free content we can play with software online with and just pay a
software online with and just pay a
software online with and just pay a small amount of fees machine learning a
small amount of fees machine learning a
small amount of fees machine learning a password Omni
password Omni
password Omni machine learning is a subfield of
machine learning is a subfield of
machine learning is a subfield of artificial intelligence giving a set of
artificial intelligence giving a set of
artificial intelligence giving a set of data we can induce a model and we can
data we can induce a model and we can
data we can induce a model and we can use this model for prediction and inform
use this model for prediction and inform
use this model for prediction and inform decision-making we go up to the hype to
decision-making we go up to the hype to
decision-making we go up to the hype to reach the pic data visualization we have
reach the pic data visualization we have
reach the pic data visualization we have many visualization techniques online the
many visualization techniques online the
many visualization techniques online the cluster data and these are informed by
cluster data and these are informed by
cluster data and these are informed by data mining data mining is basically a
data mining data mining is basically a
data mining data mining is basically a technique borrowed from artificial
technique borrowed from artificial
technique borrowed from artificial intelligence that mined data from
intelligence that mined data from
intelligence that mined data from different sources and put together and
different sources and put together and
different sources and put together and we are becoming good that smart data
we are becoming good that smart data
we are becoming good that smart data mining we are at the peak of inflated
mining we are at the peak of inflated
mining we are at the peak of inflated expectation then we go in the future and
expectation then we go in the future and
expectation then we go in the future and we will enter another period a period of
we will enter another period a period of
we will enter another period a period of disillusionment here we realize that
disillusionment here we realize that
disillusionment here we realize that things that we thought can be good for
things that we thought can be good for
things that we thought can be good for empower education are not really
empower education are not really
empower education are not really feasible for example virtual assistant
feasible for example virtual assistant
feasible for example virtual assistant chat BOTS automatic grading these
chat BOTS automatic grading these
chat BOTS automatic grading these technologies are nowadays difficult to
technologies are nowadays difficult to
technologies are nowadays difficult to be implemented because of the limitation
be implemented because of the limitation
be implemented because of the limitation of artificial intelligence a task like
of artificial intelligence a task like
of artificial intelligence a task like natural language processing then we will
natural language processing then we will
natural language processing then we will enter another period in which we are
enter another period in which we are
enter another period in which we are alighted the slope of enlightenment and
alighted the slope of enlightenment and
alighted the slope of enlightenment and here we have technologies such as
here we have technologies such as
here we have technologies such as virtual and augmented reality virtual
virtual and augmented reality virtual
virtual and augmented reality virtual reality is that technology that allow us
reality is that technology that allow us
reality is that technology that allow us to interact with the an artificial
to interact with the an artificial
to interact with the an artificial system artificial context with the
system artificial context with the
system artificial context with the headset augmented reality is another
headset augmented reality is another
headset augmented reality is another technology from artificial intelligence
technology from artificial intelligence
technology from artificial intelligence that allow us to explore real world we
that allow us to explore real world we
that allow us to explore real world we augmented object that can actually
augmented object that can actually
augmented object that can actually enhance how we’re learning we go up to
enhance how we’re learning we go up to
enhance how we’re learning we go up to the curve and we have mobile learning we
the curve and we have mobile learning we
the curve and we have mobile learning we can learn from our devices when we want
can learn from our devices when we want
can learn from our devices when we want where we want how we want and we will be
where we want how we want and we will be
where we want how we want and we will be able to create intelligence machine that
able to create intelligence machine that
able to create intelligence machine that will deliver content relevant to our
will deliver content relevant to our
will deliver content relevant to our devices to our to our
devices to our to our
devices to our to our level of our understanding of a topic
level of our understanding of a topic
level of our understanding of a topic and then we really have another period
and then we really have another period
and then we really have another period of time in which we finally focus on the
of time in which we finally focus on the
of time in which we finally focus on the narrow task of artificial intelligence
narrow task of artificial intelligence
narrow task of artificial intelligence that can actually empower education and
that can actually empower education and
that can actually empower education and we will reach a period of plateau
we will reach a period of plateau
we will reach a period of plateau productivity here we have learning
productivity here we have learning
productivity here we have learning analytics metrics related to how we
analytics metrics related to how we
analytics metrics related to how we behave during problem-solving how we
behave during problem-solving how we
behave during problem-solving how we perceive the underlining learning tasks
perceive the underlining learning tasks
perceive the underlining learning tasks how we react to this task and metrics
how we react to this task and metrics
how we react to this task and metrics about the context with these metrics we
about the context with these metrics we
about the context with these metrics we will be able to create intelligence
will be able to create intelligence
will be able to create intelligence tutors so pieces of software that using
tutors so pieces of software that using
tutors so pieces of software that using this metric can deliver relevant content
this metric can deliver relevant content
this metric can deliver relevant content to us according to our understanding of
to us according to our understanding of
to us according to our understanding of the topic our expertise our level and
the topic our expertise our level and
the topic our expertise our level and finally we will have ramifications
finally we will have ramifications
finally we will have ramifications gamification is a technique that applies
gamification is a technique that applies
gamification is a technique that applies game principle to non-game context and
game principle to non-game context and
game principle to non-game context and we will be able to create intelligence
we will be able to create intelligence
we will be able to create intelligence machine intelligent agents that actually
machine intelligent agents that actually
machine intelligent agents that actually get the content from different sources
get the content from different sources
get the content from different sources and turn into again I would like you to
and turn into again I would like you to
and turn into again I would like you to focus on the last part of the of the
focus on the last part of the of the
focus on the last part of the of the hype cycle the slope of enlightenment
hype cycle the slope of enlightenment
hype cycle the slope of enlightenment and the plateau of productivity with
and the plateau of productivity with
and the plateau of productivity with virtual and gue mental reality we can
virtual and gue mental reality we can
virtual and gue mental reality we can actually self explore things we can play
actually self explore things we can play
actually self explore things we can play with our curiosity creativity with
with our curiosity creativity with
with our curiosity creativity with intelligent mobile learning
intelligent mobile learning
intelligent mobile learning we are the freedom of choice we can
we are the freedom of choice we can
we are the freedom of choice we can learn what we want to learn how we’re
learn what we want to learn how we’re
learn what we want to learn how we’re and we can actually follow our passion
and we can actually follow our passion
and we can actually follow our passion with learning analytics and intelligence
with learning analytics and intelligence
with learning analytics and intelligence tutors we can actually personalize
tutors we can actually personalize
tutors we can actually personalize content to each single learner and
content to each single learner and
content to each single learner and eventually with intelligent gamification
eventually with intelligent gamification
eventually with intelligent gamification we can alter our Walter and M experience
we can alter our Walter and M experience
we can alter our Walter and M experience joy
so with artificial intelligence we can
so with artificial intelligence we can really unlock the power and the
really unlock the power and the
really unlock the power and the potential from each single learner I
want to back I want to go back to the
want to back I want to go back to the origins I want to dream again thanks
origins I want to dream again thanks
origins I want to dream again thanks [Applause]
”
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