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foreign
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there can refer to as much to a time as
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a place for example some of us were
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there in 1996 when IBM's program deep
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blue beat chess Grandmaster Gary
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Kasparov some of you remember that
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in 1998 when Google launched its search
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engine
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most of this audience was there in 2011
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when Watson the computer won Jeopardy
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and Siri became a pocket virtual
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assistant
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and we definitely all were there in 2023
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when chat GPT passed the bar exam in the
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top 10 percent
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you may have realized that these dates
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are all Milestones associated with AI
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artificial intelligence the ability of
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machines to learn from experience
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over that time Ai and machine learning
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have disrupted just about every industry
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including my own education
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teachers students and parents are
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wondering what is learning when software
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can answer every question
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Winston Churchill said never let a good
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crisis go to waste teachers would call
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this a learning moment I see it as an
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ideal opportunity for us to reimagine
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the future of Education unfortunately my
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industry's response to change is often
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flight or fight
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when a new disrupter becomes
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overwhelming like students with cell
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phones in the classroom were tempted to
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throw in the towel and say I'm just
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going to teach the way I always have
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that's flight
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or we try to fight
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we're told to combat artificial
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intelligence by using software that
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promises to detect AI generated products
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but technology evolves way too fast for
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any technical solution to keep pace
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teachers are also advised to monitor
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their students more closely to prevent
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high-tech cheating
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Big Brother Big Sister watching over
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every student's shoulder every minute is
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not only impossible it goes against our
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mission of building trust responsibility
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Independence and a passion for learning
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there are other reasons fight or flight
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won't work
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there's flight there's fight
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for one AI is everywhere
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AI powered apps are making resources
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increasingly more accessible removing
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barriers like cost and language
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and overall AI has improved efficiency
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and productivity which obviously doesn't
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count the hours we use recording AI
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enhanced tick tocks
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and AI is growing in 2022 another
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Milestone year Forbes reported 2 million
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images generated in doll e each day
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145 million Americans 45 of us use a
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a voice assistant on a regular basis on
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over 4 billion devices and the global AI
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Market reached 140 billion dollars
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expected to grow by 20 per year
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so it's pretty clear AI technology is
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popular it works and it's making money
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all of which means it's not going
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anywhere soon so what's the problem
00:03:09
well we probably shouldn't ignore issues
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with privacy intellectual property
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rights accuracy bias even propaganda and
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the difficulty of regulating these
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Technologies
00:03:20
on top of these problems as AI gets
00:03:22
better at generating all kinds of output
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Educators and parents are concerned with
00:03:27
issues of academic integrity
00:03:31
we're worrying it could cause students
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to
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miss important context amplify
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prejudices and misconceptions even
00:03:38
bypass the learning process altogether
00:03:44
now I was there to experience when many
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in my profession feared how thesauruses
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calculators video and spell check might
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ruin our students abilities to read
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write and do math today obviously we
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find these in just about every classroom
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in that Spirit some Educators have
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discovered a third choice to flight or
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fight adapt they're making artificial
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intelligence their co-teacher by using
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it to brainstorm lessons evaluate
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assignments
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even serve as a 24 7 student help desk
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in fact checker
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others are teaching students about AI
00:04:18
technology so they can use its benefits
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more productively and ethically
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understand its limitations and even
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consider it as a career
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now these steps may go a long way
00:04:29
towards making AI work in our classrooms
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but they don't adjust the fundamental
00:04:33
question of how we measure learning when
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machines and devices can write essays
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generate charts and images code software
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and Ace tests
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I suggest that the real threat to our
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children's education is not machine
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learning and artificial intelligence
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it's how we've come to measure and value
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human learning and human intelligence a
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basic definition of learning is the
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process of gaining understanding through
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study and experience since the 1950s
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computer programmers have been
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developing algorithms that train
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machines to process information and make
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decisions that improve with each success
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or failure now that should sound
00:05:14
familiar because machine learning is
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modeled on the human brain
00:05:18
intelligence has been defined as the
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ability to acquire and apply that
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Knowledge and Skills we say a program is
00:05:25
artificially intelligent when it can use
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the information it's received and
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learned to answer customized inquiries
00:05:33
like what's the best Bluetooth speaker
00:05:35
to buy or write me a heartfelt speech
00:05:37
for my friends about the wedding
00:05:40
the problem with these traditional
00:05:42
definitions of learning and intelligence
00:05:44
is that they favor the kinds of
00:05:45
processes computers excel at machines
00:05:48
can beat Chess Masters win games of
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trivia even predict power failures
00:05:52
better than human experts because for
00:05:55
these kinds of tasks
00:05:57
they can access and analyze more
00:05:59
information far faster than we can
00:06:01
these definitions also don't reflect the
00:06:03
neurodiversity of our students each of
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whom thinks differently and brings
00:06:07
different understandings and experiences
00:06:08
to our classrooms
00:06:10
and when we assign too high a value to
00:06:12
the accumulation of knowledge the
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memorization of procedures and the
00:06:16
recall effects it's no wonder students
00:06:18
turn to technology for answers
00:06:22
I propose that we redefine and revalue
00:06:25
what we consider intelligence the good
00:06:27
news is the means to that end are
00:06:29
probably already in our teacher toolkit
00:06:31
they're just buried in there somewhere
00:06:32
under a pile of Scantron forms
00:06:35
let's design more lessons and ask more
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questions with these five
00:06:39
characteristics
00:06:40
first emphasize live Hands-On
00:06:43
experiences then ask what did you notice
00:06:45
when this happened how might your
00:06:47
actions have affected the outcome how
00:06:49
did your team collaborate on this task
00:06:51
problem solving through Discovery
00:06:53
exploration and reflection is part of
00:06:56
what we call Active Learning which we
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know to be more effective than old
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school models like lectures worksheets
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and book reports
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second ask questions about meaning
00:07:06
encourage students to identify their
00:07:08
beliefs see the bigger picture
00:07:10
generalize Concepts from one area to the
00:07:12
other make learning personal by asking
00:07:15
what does this information mean to you
00:07:16
what might it mean to our community or
00:07:18
another community
00:07:20
why is this relevant to anyone
00:07:22
and when children ask us why do I need
00:07:24
to learn this adults should have a good
00:07:26
answer
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third ask students to make connections
00:07:31
to the real world to integrate the
00:07:33
pieces of what they know studies show
00:07:35
students are more engaged when they
00:07:36
understand context for example how does
00:07:39
this relate to last week's lesson or to
00:07:41
what you're learning in social studies
00:07:42
or art class
00:07:44
how do your personal local and Global
00:07:46
perspectives compare
00:07:48
how might this give you Insight on the
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past present and future
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fourth ask students about their feelings
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imagine that awareness empathy putting
00:07:58
yourself in someone else's shoes and
00:08:00
playing nice with others or what we call
00:08:02
emotional intelligence
00:08:04
as much as we're putting AI into devices
00:08:06
that are always listening maybe even
00:08:08
watching AI still can't read the room
00:08:11
a one-year-old child even your cat or
00:08:13
dog can sense your mood better than any
00:08:16
computer
00:08:17
now we don't normally ask students to
00:08:19
flex these four muscles so things may
00:08:21
not go smoothly at first but let's keep
00:08:23
in mind
00:08:24
struggle is a necessary prerequisite for
00:08:26
learning
00:08:28
finally let's have students direct their
00:08:30
Knowledge and Skills towards novel
00:08:32
applications
00:08:33
ask them to apply their current
00:08:35
understandings to a new situation or
00:08:37
create a new way of looking at an old
00:08:39
problem
00:08:40
only humans can think divergently like
00:08:42
that outside the box computers are the
00:08:45
Box
00:08:46
artificial intelligence can only follow
00:08:48
the rules they've been given
00:08:51
AI can't experience generalize reason
00:08:54
reflect think abstractly or understand
00:08:57
relevance and it can't access a
00:08:59
student's perceptions interpretations
00:09:01
and feelings
00:09:03
a good education should do all of these
00:09:05
things
00:09:08
this is how we future proof our
00:09:09
classrooms make AI a co-teacher work
00:09:12
with the technology strengths and
00:09:14
weaknesses but most importantly let's
00:09:16
value human intelligence as more than
00:09:18
just computer-like processing get
00:09:21
students to use parts of their brains
00:09:22
computers don't have ask questions AI
00:09:25
can answer device problems chat Bots
00:09:27
can't solve we can do that by
00:09:30
challenging students with authentic
00:09:32
experiences that tap into the incredible
00:09:34
capacity diversity and creativity of
00:09:37
their human Minds
00:09:40
now I can picture the day when I'll be
00:09:43
able to say to my future self imagined
00:09:45
here ironically by artificial
00:09:47
intelligence
00:09:48
that we were all there and use this
00:09:51
learning moment to influence the
00:09:53
evolution of education for the better
00:09:55
then we can all confidently say to our
00:09:58
students
00:09:59
we helped you find your there wherever
00:10:02
and whenever it may be
00:10:04
thank you
00:10:05
[Applause]
00:10:06
[Music]
