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Closing Science Gaps with AI

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    - Hi, everyone. Welcome.
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    As you are joining,
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    please feel free to put in
    the chat what brought you
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    to this webinar today.
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    We'd love to hear the things
    that you would like to learn,
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    and we will start in just a minute.
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    All right.
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    Well, in honor of
    International Day of Women
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    and Girls in Science,
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    it is a pleasure to have these experts
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    and leaders in science education with us.
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    Special thank you to Donna and Melissa.
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    You'll get to know them and
    their roles in today's session.
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    I'm Sarah, I'm a proud former
    high school science teacher
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    who's gonna be leading today's discussion.
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    And at Khan Academy,
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    we are focused on helping
    districts drive student learning
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    and close skill gaps.
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    And AI is just one of those
    tools in the educators' toolkit
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    to be able to facilitate this.
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    So, let's hear what Donna
    and Melissa have to say.
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    Melissa, you are a
    little bit of a celebrity
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    in your own right.
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    You've been featured on "60 Minutes"
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    and "CBS News" for your work
    in AI and science education.
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    Can you share a little bit
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    about what that's been like for you
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    and what it means to science education?
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    - It was a really exciting
    opportunity for me
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    to actually be able to showcase the work
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    that we're doing here at Hobart
    High School with Khanmigo,
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    especially in the science classroom,
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    I feel like sometimes
    science takes a backseat
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    to some of the other
    subject areas like math
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    and language arts,
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    because math and language arts are tested
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    a lot more than sciences,
    especially on a national level.
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    And it was really cool to
    be able to get out there
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    and show science
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    and also show how we're
    integrating Khanmigo
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    into the science classroom.
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    And I also feel like it's an opportunity
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    to show that science is a place
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    where all other disciplines
    can come together
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    to solve problems.
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    And so, that's really
    what we wanna teach kids,
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    is to be really good problem solvers.
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    We wanna teach them
    critical thinking skills
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    and the things that they're going to need
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    to be able to solve the future issues
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    that we might be facing.
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    We know that science careers are growing
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    and we need kids to be able
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    to not just feed back information to us
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    that we've told them,
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    but we need them to be
    able to build on that
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    and deepen their understanding
    of scientific principles
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    and apply those to solve
    real world problems.
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    So, it was really exciting to
    be able to be on "60 Minutes"
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    and kind of show my science
    classroom a little bit.
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    - Yeah, that's great.
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    I love the whole problem
    solving piece of it.
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    I think that's what kind
    of drives us all to science
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    and being a science teacher.
    - Yeah.
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    But Donna, let's go to you.
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    What specific science skill
    gaps have you seen in students?
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    How have you aimed to
    tackle these in the past?
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    And then how do you think
    AI helps kind of with some
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    of those skill gap challenges?
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    - Yeah, absolutely.
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    So, one thing that I noticed with my ninth
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    and 10th graders is that they
    were coming from middle school
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    and they were coming with huge variations
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    in what they were able
    to do and what they knew.
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    And so, it was really
    critical to make sure
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    that I got 'em all on the same page
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    right before we started a lesson.
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    And this also applies to students
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    when they're absent a lot too.
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    So, this usually helped with that.
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    And so, one thing that I would
    do is start off my lessons
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    with some sort of hook or an opener,
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    something that was relatable
    to all of my students
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    and something that we can
    consistently come back to,
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    to build on our knowledge.
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    So, that was one big gap
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    and one big struggle for me as a teacher,
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    is to try and make sure
    I'm hitting my students
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    and meeting them where they're at,
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    hitting my context properly,
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    and trying to blend what they knew
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    and what they were able to do
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    with where I wanted to get them to.
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    So, that was one.
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    And then one other I'll talk about,
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    and I know Melissa can talk to this one
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    a little bit as well,
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    is a skill gap that I think
    we see in not just science,
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    it's also in other domains,
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    is students being able
    to explain their thinking
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    and being able to explain how
    they got to the conclusions
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    that they got to, explain the reasoning,
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    apply the knowledge
    that they just learned.
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    'Cause it's not just
    about the definitions,
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    it's also about how did you get there?
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    What was your thought
    process to get you there?
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    And some of the ways that I resolved that
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    when I was back in the
    classroom, just paper and pencil,
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    just have the kids writing it out.
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    Because often, you think
    of your shy students
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    and for them to be able
    to raise their hand
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    in front of all their peers
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    and practice explaining
    their thinking, right,
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    that's not gonna happen.
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    So, just paper and pencil, usually.
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    As technology advanced,
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    we started using our Google forms
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    and having 'em type them out.
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    But ultimately, that all comes
    back to the teacher, right?
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    All of those 30 kids, five classes,
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    that's all coming back to you
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    and you need to give them each feedback,
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    and that happens often in science class
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    where they're explaining their thinking.
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    So, while the human in the
    loop is super important there,
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    it's also very, very time-consuming
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    to be able to do that every time.
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    So, I'm gonna kick it over to Melissa,
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    who's actually come up
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    with some really awesome
    ideas utilizing AI
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    and Khanmigo to help
    with some of these issues
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    that we run into.
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    - Yeah, absolutely.
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    Khan is just a buffet of opportunities,
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    Khan and Khanmigo to help
    bridge those skill gaps.
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    I, too, notice a lot of skill gaps.
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    Some of them are as they're
    moving up from middle school,
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    some of them are still existing
    because of the pandemic.
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    So, in chemistry, I see some
    math skill gaps that are there.
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    And sometimes I'll just
    use Khan Academy content.
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    So, if we're having an issue
    with something like rounding
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    when we're doing significant figures,
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    I'll identify something in Khan Academy
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    in the content that is there
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    to help students maybe
    remediate that skill gap just
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    a little bit, especially if
    I notice it across the board.
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    I can also individualize that to students.
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    And the really nice thing
    about the AI component
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    is that they have a
    companion in the corner,
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    Khanmigo is in the corner for them.
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    So, as they're working
    through some of the activities
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    and problems that are in Khan course,
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    they can get real-time tutoring
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    and that can kind of
    help them step-by-step
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    and they can explain their reasoning
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    and the way that they're
    thinking about it.
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    And I think it makes it
    overall okay to be wrong
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    and okay to maybe not
    understand something.
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    And so, it's less intimidating
    when you're with Khanmigo,
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    or you're with AI to
    make a mistake than it is
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    to make a mistake in the
    front of the classroom.
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    And so, in my classroom,
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    we also use TutorMe Math and Science,
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    that's the learning
    activities for students.
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    And so, I will allow students
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    to have that open during bell work,
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    or during an exit ticket,
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    because sometimes the most
    intimidating thing is to have,
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    we all went to school when
    you popcorn around the room
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    and you start calling on
    students and you're terrified,
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    you're absolutely terrified
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    that you're not gonna be
    able to answer the question.
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    And so, if you have that
    there and you can maybe, woo,
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    really, I thought I got it yesterday,
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    or I thought I got it during class,
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    but I really don't get it.
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    They can type in a few sentences
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    and that exchange maybe
    deepens their knowledge
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    if they already understood, or
    maybe it helps scaffold them.
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    So, it is like a live scaffold.
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    I can't be in all places at all times,
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    and so it does help kind
    of plug in those gaps.
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    And I love that it adapts
    to the level of my learner.
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    And one of the things that
    I've been trying to do,
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    and I've been playing
    with quite a bit more,
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    is we're able to assign those activities,
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    like TutorMe Math and Science in Khanmigo,
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    and I can customize the
    discourse with a prompt.
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    And so, I know that students
    are gonna be guided down
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    a path towards where I need them to go,
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    but at the same time,
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    the AI is going to adjust
    the level of communication
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    with where that student is at.
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    So, when we talk about
    adaptive assessment,
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    when we talk about scattered skills,
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    when we talk about leveled learning,
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    this is exactly what AI offers
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    that I've been trying to do, right?
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    I mean, absolutely every
    single teacher out there
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    is trying to level learning,
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    but sometimes you're
    trying to level learning
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    to 32 different kids
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    and you sometimes end up with the kids
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    that you know are super struggling.
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    But what happens to the
    kids that are in the middle,
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    and what happens to the
    kids that need enrichment
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    when you're doing that?
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    And so, it is able to customize
    the learning experience
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    for the student based around
    what I want the discussion
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    to be about in my science classroom,
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    which to me is how you really address gaps
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    as you meet the learner
    right where they are.
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    And you scaffold, and that's
    what we do as teachers,
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    but you can also scaffold with the AI.
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    - Yeah, so, Melissa, let's
    stay on that path a little bit.
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    You're talking about differentiation
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    and how you can really meet
    the students where they are
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    to identify their skill gaps.
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    Can you go a little bit further then
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    and talk about how you use Khanmigo
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    and student engagement?
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    What are you seeing of
    students being engaged more
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    in your classroom by using Khanmigo?
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    - I have great examples of engagement.
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    I wanna just start with one
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    that happened around final exam time.
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    And this came from one of my colleagues.
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    So, we teach the same course,
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    and in another course,
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    one of the students absolutely
    aced the final exam.
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    And this was in a higher level,
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    dual credit, AP level course.
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    They absolutely aced it
    and the teacher said,
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    "Well, what was your strategy?"
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    And she said, "Well, I took
    your review for the final
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    and I put it into Khanmigo.
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    And I asked Khanmigo to make
    similar questions for me,
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    especially with the questions
    that I was struggling with."
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    And so, it empowers students,
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    it helps them build confidence.
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    I mean, I think our whole job as teachers
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    is we have to get away from IDK,
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    which is "I don't know," right?
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    So, instead of just
    saying, "I don't know,"
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    we're teaching students how to
    behave when they don't know.
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    And so, when you don't know the answer,
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    and that's really what it about,
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    if you're gonna enter the workplace,
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    you're gonna go to college,
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    how are you going to
    behave when you don't know?
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    And AI is one of the tools
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    that our students are gonna
    have in their tool belt,
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    regardless of where they go next in life.
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    And so, when we start to
    reinforce those behaviors,
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    we start to see students as
    they learn to communicate
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    and they learn to interact with Khanmigo,
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    or any other AI,
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    is that they are learning
    that they can expand
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    on their own thinking
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    and they're learning that they can do that
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    through dialogue and discourse.
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    And I think those are
    really important things
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    for students to learn in terms of skills
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    for later on in life and skills today.
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    What else do I have students do?
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    I guess, just again,
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    going back to bell
    ringers or exit tickets,
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    I don't have a place to start.
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    Okay, you don't have a place to start.
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    So, let's think about
    where might we start?
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    And like you said, I said
    earlier, and Donna said,
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    you can't be in all places at once,
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    but students are building
    the competence to go ahead
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    and open that up and say,
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    "Okay, I'm just gonna
    ask a quick question.
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    I really don't know."
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    And I don't know how many of you grew up
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    with back of the book answers.
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    I lived for those, I hated that
    they were only on the odds,
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    but it's also a place where my students go
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    to just make sure they're
    on the right track, right?
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    So, you've got this back of the book
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    that you're flipping to,
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    and sometimes those back of the books
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    is just this isolated
    answer that's sitting there
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    and you're like, "I
    didn't get that answer,
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    and so now I'm off the rails,"
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    and you don't have to be
    off the rails anymore.
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    And so, when they get away from me
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    and they're at home at night,
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    and I can't tell you through
    the years how many videos
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    that I made and sent to
    kids answering questions
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    because they knew they
    got the wrong answer,
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    but they didn't know
    how to work the problem.
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    And I'm not getting that as much anymore
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    because they have a personalized
    tutor that they can go to
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    and ask those questions
    and get that resolved
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    before they come in the next day.
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    I'm also having less examples
    of incompleted homework.
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    So, I used to walk into
    the classroom and be like,
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    "Okay, were there questions?
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    Yeah, I didn't get the whole assignment,
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    I just didn't get it.
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    Okay, what didn't you get?
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    Let's start here."
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    A lot less of that.
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    So, I'm getting a lot more of,
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    "I really struggled with this one,
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    and I did ask Khanmigo,
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    but I'm still kind of,
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    I need more practice or I'm
    needing more explanation."
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    And so, we're really getting into a level
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    where we're able to move
    the learning forward.
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    I don't know if I answered the question.
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    - You did. You did a great job.
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    - Okay.
    - Yeah, absolutely.
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    - And then, even to add to
    that student engagement piece,
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    in the districts that I work with,
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    one of the Khanmigo teacher tools
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    that I really like to
    put onto teachers' radar
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    is the Real World Context Generator,
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    because we've all had students
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    who don't wanna go into science,
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    who aren't gonna go down
    that scientific path,
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    maybe they wanted to go into the trades.
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    So, you can take the concepts
    that you're teaching,
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    like mitosis, and have Khanmigo
    relate that to plumbing,
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    or carpentry, or whatever
    that student wants to do.
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    And Khanmigo can do
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    some really great connections
    between those things.
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    So, if you wanna engage students about,
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    "Why do I have to learn this, right?"
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    The age old question that we always get,
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    that Khanmigo teacher
    tool's a really powerful one
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    to help make those connections
  • 14:16 - 14:18
    of why those things are important,
  • 14:18 - 14:21
    no matter what route you
    wanna go to in your career.
  • 14:21 - 14:25
    So, yeah, student engagement
    is definitely a key piece
  • 14:25 - 14:27
    of AI in education.
  • 14:27 - 14:29
    Donna, I'm gonna move over to you.
  • 14:29 - 14:33
    How do you see AI
    transforming science education
  • 14:33 - 14:36
    beyond just saving teachers' time?
  • 14:37 - 14:38
    - Yeah, absolutely.
  • 14:38 - 14:42
    And transforming science
    education is a big ask,
  • 14:42 - 14:44
    but it's incremental,
  • 14:44 - 14:47
    and so what I think of first
    is that teachers are wearing
  • 14:47 - 14:49
    a ton of hats today.
  • 14:49 - 14:52
    They're doing more than just developing
  • 14:52 - 14:56
    and delivering their
    curriculum for their students.
  • 14:56 - 14:57
    There's a lot going on.
  • 14:57 - 15:00
    And the hope is that
    technology, as it's done,
  • 15:00 - 15:03
    and AI will help teachers save time
  • 15:03 - 15:06
    and help them actually be
    able to focus on the parts
  • 15:06 - 15:09
    of teaching that they're
    most passionate about, right?
  • 15:09 - 15:11
    And be able to release their grasp
  • 15:11 - 15:13
    on some of the tedious tasks
  • 15:13 - 15:15
    that maybe they're not
    as passionate about.
  • 15:15 - 15:18
    And that's gonna allow our
    teachers, our science teachers,
  • 15:18 - 15:21
    to be able to focus on whatever
    it is that they're into.
  • 15:21 - 15:22
    So, maybe it's differentiating
  • 15:22 - 15:24
    for their struggling students
  • 15:24 - 15:25
    and they can make really,
  • 15:25 - 15:27
    really cool new ways
  • 15:27 - 15:29
    that they can actually
    reach all of those kids
  • 15:29 - 15:31
    because they have a little
    more time on their hands.
  • 15:31 - 15:34
    Or maybe another teacher,
  • 15:34 - 15:38
    their jam is creating
    activities that integrate
  • 15:38 - 15:40
    and align with what's
    going on in science today.
  • 15:40 - 15:43
    And that could be something
    that they have more time for.
  • 15:43 - 15:45
    One that I was really passionate about,
  • 15:45 - 15:47
    and that was always a
    little bit of a struggle,
  • 15:47 - 15:52
    was allowing teachers to be
    that mentor or that coach,
  • 15:52 - 15:55
    that guide on the side
    who's actually helping them
  • 15:55 - 15:58
    to develop those soft
    skills that they need
  • 15:58 - 15:59
    to become independent learners
  • 15:59 - 16:02
    and to become functioning
    members of society.
  • 16:02 - 16:05
    I feel like if there's less time spent
  • 16:05 - 16:08
    on grading little tedious things
  • 16:08 - 16:11
    and giving them feedback
    on every single thing
  • 16:11 - 16:12
    that they hand you,
  • 16:12 - 16:14
    there's more time to have a conversation
  • 16:14 - 16:17
    with the kid afterwards and talk about,
  • 16:17 - 16:18
    "Well, what does this
    feedback mean to you?
  • 16:18 - 16:20
    What are we gonna do
    differently next time?"
  • 16:20 - 16:22
    And develop those skills,
  • 16:22 - 16:24
    which are just important as the chemistry
  • 16:24 - 16:26
    and the science skills, in my opinion.
  • 16:26 - 16:28
    And so, I think that this technology
  • 16:28 - 16:31
    is ultimately going to support us
  • 16:31 - 16:33
    in doing some of the things
    that we're already doing,
  • 16:33 - 16:35
    but allow us to do them
    at a higher fidelity
  • 16:35 - 16:37
    and in a more sustainable way.
  • 16:37 - 16:39
    I think that is critical
    for us as teachers.
  • 16:40 - 16:42
    - [Sarah] Melissa,
    anything to add to that?
  • 16:43 - 16:44
    - I would just say,
  • 16:44 - 16:47
    in terms of transforming
    science education,
  • 16:47 - 16:51
    I'm doing a lot more experimental design
  • 16:51 - 16:54
    because students do
    have access to Khanmigo
  • 16:54 - 16:56
    to kind of fill in those gaps.
  • 16:56 - 16:58
    But instead of maybe
    doing a prescribed lab,
  • 16:58 - 17:01
    like last year with gas laws,
  • 17:01 - 17:04
    I gave students a list of materials
  • 17:04 - 17:07
    and I had them create a problem statement
  • 17:07 - 17:10
    and figure out what they
    wanted to investigate
  • 17:10 - 17:13
    and then design an experiment.
  • 17:13 - 17:15
    So, if it was a
    pressure-volume relationship,
  • 17:15 - 17:17
    or a pressure-temperature relationship,
  • 17:17 - 17:21
    the students were guiding that inquiry.
  • 17:21 - 17:23
    So, I think it changes the scope
  • 17:23 - 17:26
    of what we're able to do when
    they can step out of the box
  • 17:26 - 17:31
    and they're using AI to help them,
  • 17:31 - 17:33
    and their knowledge, obviously,
  • 17:33 - 17:35
    to help them investigate problems
  • 17:35 - 17:38
    and then connect back to
    how is that like something
  • 17:38 - 17:39
    that happens in the real world,
  • 17:39 - 17:43
    like maybe a bicycle tire going
    flat or something like that?
  • 17:43 - 17:46
    So, again, just stepping
    outta my comfort zone
  • 17:46 - 17:48
    and stepping out of prescribed labs,
  • 17:48 - 17:51
    of course, within standards,
  • 17:51 - 17:52
    within the bounds of standards
  • 17:52 - 17:54
    and within the bounds of safety,
  • 17:54 - 17:56
    and you have to get
    your experiment approved
  • 17:56 - 17:58
    by your teacher and those types of things.
  • 17:58 - 18:00
    But I think it's allowing my students
  • 18:00 - 18:04
    to think more out of the
    box and be more creative
  • 18:04 - 18:07
    and be more in the application phase
  • 18:07 - 18:09
    of scientific knowledge,
    and some discovery,
  • 18:09 - 18:12
    because for some students,
    it's their first go at it.
  • 18:12 - 18:14
    I was talking with another teacher,
  • 18:14 - 18:17
    who teaches physical
    science, and she's like,
  • 18:17 - 18:20
    "Do you have anything
    on building catapults?"
  • 18:20 - 18:23
    And I was like, "You know,
    you could give the kids
  • 18:23 - 18:27
    a list of materials and
    you could have them go out
  • 18:27 - 18:30
    to Khanmigo and see what
    they could come up with
  • 18:30 - 18:32
    in terms of a design
  • 18:32 - 18:34
    so that they're unique
    instead of prescribed."
  • 18:34 - 18:37
    And so, I think it just
    puts a different dynamic
  • 18:37 - 18:40
    in the science classroom.
  • 18:40 - 18:42
    And again, that's where I
  • 18:42 - 18:44
    would use TutorMe Math and Science.
  • 18:44 - 18:49
    I might even do that
    as an assignable task.
  • 18:49 - 18:52
    So, now we're able to
    assign in TutorMe Math
  • 18:52 - 18:56
    and Science so that I am
    having a bit more control over
  • 18:56 - 18:57
    the initial statement
  • 18:57 - 19:00
    and what they have available
    and things like that.
  • 19:01 - 19:03
    So, I see that as being
    a way to transform.
  • 19:03 - 19:05
    Another thing that I've done
    is I've used teacher tools,
  • 19:05 - 19:07
    I've used lesson planning,
  • 19:07 - 19:10
    I've also used just the open chat
  • 19:10 - 19:14
    to plan problem-based units.
  • 19:14 - 19:17
    So, I planned, part of what
    you saw in "60 Minutes"
  • 19:17 - 19:18
    was a problem-based unit
  • 19:18 - 19:22
    where a local water
    supply was contaminated.
  • 19:22 - 19:27
    And so, I used Khanmigo to
    help me build several weeks
  • 19:27 - 19:30
    of lessons that went along with that,
  • 19:30 - 19:34
    that had inquiry labs
    that went along with it,
  • 19:34 - 19:37
    and it was our own,
    like, we made it our own.
  • 19:37 - 19:39
    I adapted lessons based
    on where the kids were.
  • 19:39 - 19:42
    So I was able to go into Khanmigo,
  • 19:42 - 19:45
    adjust my lesson plans based
    on where my students were.
  • 19:45 - 19:47
    If I noticed a huge skill gap somewhere,
  • 19:47 - 19:49
    we were able to go in and plug into that.
  • 19:49 - 19:51
    If we needed to do a little
    bit of background research
  • 19:51 - 19:53
    on something that we hadn't gotten to yet,
  • 19:53 - 19:55
    I was able to use Khanmigo to do that.
  • 19:55 - 20:00
    So, again, I just feel like it
    gives me limitless potential
  • 20:00 - 20:03
    as a teacher in terms of
    what I can do for my students
  • 20:03 - 20:06
    to really deepen their learning
    and really get them acting
  • 20:06 - 20:09
    and behaving like problem
    solvers and scientists.
  • 20:10 - 20:13
    - And I'm seeing that theme
    of student engagement, right?
  • 20:13 - 20:15
    It seems like those types of activities
  • 20:15 - 20:18
    where you're letting them
    create their own problems,
  • 20:18 - 20:19
    that's engaging, right?
  • 20:19 - 20:22
    Instead of just, "Hey, here's
    a lab, follow these steps,"
  • 20:22 - 20:24
    and write your lab report.
    - Yeah, and that's life.
  • 20:24 - 20:26
    I mean, it really is life, though.
  • 20:26 - 20:29
    I mean, no one is
    standing there with a lab
  • 20:29 - 20:31
    when you get to your first job saying,
  • 20:31 - 20:33
    "Okay, here, you're gonna
    follow this exactly,
  • 20:33 - 20:35
    and don't make any deviations.
  • 20:35 - 20:38
    And we know exactly what we
    want you to know at the end."
  • 20:38 - 20:40
    Nobody's doing that.
  • 20:40 - 20:41
    That's not even the real world,
  • 20:41 - 20:44
    and that's not how things work.
  • 20:44 - 20:48
    And so, really, it's those
    skills, the in-between skills,
  • 20:48 - 20:50
    the conversations, the
    talking with your group.
  • 20:51 - 20:53
    I don't wanna call them arguments,
  • 20:53 - 20:55
    because there's certainly
    friendly discourse
  • 20:55 - 20:57
    that occurs in my room.
  • 20:57 - 21:02
    But I mean, there's some
    passion that comes out in kids
  • 21:02 - 21:04
    when they have ownership
    of what they've designed
  • 21:04 - 21:06
    and what they're doing.
  • 21:06 - 21:08
    They become very passionate.
  • 21:08 - 21:12
    They become able to defend
    it, which, honestly,
  • 21:12 - 21:13
    don't we want that?
  • 21:13 - 21:16
    Don't we wanna know something
    so well that we can defend it?
  • 21:17 - 21:19
    So.
    - And Melissa,
  • 21:19 - 21:23
    I wanna ask you a question
    before we jump to our next one,
  • 21:23 - 21:24
    because you've been talking a lot
  • 21:24 - 21:26
    about your students working with it.
  • 21:26 - 21:29
    Did that take some time
    to teach them how to talk
  • 21:29 - 21:31
    with AI and Khanmigo?
  • 21:31 - 21:34
    - 100%. Yeah, absolutely.
  • 21:34 - 21:37
    So, you need to encourage, like,
    you have to kind of prompt.
  • 21:37 - 21:38
    Well, they'll put it in,
  • 21:38 - 21:40
    they want the immediate answer, okay?
  • 21:40 - 21:41
    So do I.
  • 21:41 - 21:42
    I mean, really,
  • 21:42 - 21:45
    don't we all just want
    the immediate answer?
  • 21:45 - 21:47
    But I think what students are starting
  • 21:47 - 21:49
    to see through dialogue,
  • 21:49 - 21:52
    and I think this was even spoken
  • 21:52 - 21:56
    in the "60 Minutes" piece, is that really,
  • 21:56 - 21:58
    when you are having this dialogue
  • 21:58 - 22:02
    and you are integrating
    your own ideas with AI
  • 22:02 - 22:04
    and then expanding on them,
  • 22:04 - 22:06
    that's really where your deeper,
  • 22:06 - 22:08
    better answer is going to be.
  • 22:08 - 22:11
    And so, yeah, there was
    a lot in the beginning
  • 22:11 - 22:12
    where they would say, "Help me.
  • 22:12 - 22:14
    Like, here's the problem.
    Solve this for me."
  • 22:14 - 22:18
    And they're like, "It's
    asking me another question."
  • 22:18 - 22:23
    That question is why I
    was okay with allowing AI
  • 22:23 - 22:26
    in my classroom,
    specifically Khanmigo, okay?
  • 22:26 - 22:28
    If you're not asking my
    kid another question,
  • 22:28 - 22:30
    I'm sorry, they're not my kids,
  • 22:30 - 22:33
    my student another question,
  • 22:33 - 22:35
    but they feel like my kids sometimes,
  • 22:35 - 22:39
    then I don't want them
    to just get the answer.
  • 22:39 - 22:40
    I want them to have the dialogue.
  • 22:40 - 22:43
    And I'm like, "Well, let's answer back."
  • 22:43 - 22:45
    So, a lot of them were wanting
    the immediate response,
  • 22:45 - 22:48
    but I think they're figuring
    out that it's really
  • 22:48 - 22:50
    where the learning is taking place
  • 22:50 - 22:53
    and then they understand quick answers
  • 22:53 - 22:54
    can come from anywhere.
  • 22:54 - 22:56
    So, if you're after the quick answer,
  • 22:56 - 22:57
    we always have this discussion,
  • 22:57 - 22:59
    if you're after the quick answer,
  • 22:59 - 23:01
    you can get it a lot of different places.
  • 23:01 - 23:03
    That's always been around.
  • 23:03 - 23:05
    But if you're after the understanding,
  • 23:05 - 23:07
    this is how the understanding takes place.
  • 23:07 - 23:10
    When you ask me a question
    and I ask you a question back
  • 23:10 - 23:11
    as your teacher,
  • 23:11 - 23:13
    it's not because I don't know the answer.
  • 23:13 - 23:15
    It's because I want you to think about it.
  • 23:15 - 23:17
    And so, that's what makes me comfortable
  • 23:17 - 23:20
    in my classroom using Khanmigo
  • 23:20 - 23:22
    when I know a lot of
    teachers are afraid to use it
  • 23:22 - 23:24
    because they don't want them
    cheating and they don't want,
  • 23:24 - 23:25
    I get all of that.
  • 23:25 - 23:28
    It made me very comfortable
    seeing it firsthand
  • 23:28 - 23:30
    that it's not just giving them the answer,
  • 23:30 - 23:33
    that we're deepening the
    level of understanding.
  • 23:35 - 23:37
    - So, Melissa, you've kind of just touched
  • 23:37 - 23:40
    on other teachers, maybe in your building
  • 23:40 - 23:41
    or even in your department,
  • 23:41 - 23:45
    who are a little more
    apprehensive about using Khanmigo.
  • 23:45 - 23:48
    Can you speak to a little
    bit about how your district
  • 23:48 - 23:51
    has helped kind of support this
  • 23:51 - 23:54
    and support those teachers
    who may be apprehensive?
  • 23:54 - 23:56
    And are they coming around a little bit,
  • 23:56 - 24:00
    or what's that culture like
    from the teacher perspective?
  • 24:00 - 24:02
    - Oh, I mean, absolutely.
  • 24:02 - 24:03
    I think, as a teacher,
  • 24:03 - 24:06
    and I think this is all our
    initial response is, I mean,
  • 24:06 - 24:10
    AI, it's a big word, and it's a big idea,
  • 24:10 - 24:14
    and it has unlimited
    scary potential, right?
  • 24:14 - 24:15
    And so, I think everyone's
    looking at it and saying,
  • 24:15 - 24:18
    "But I am the best with my students."
  • 24:18 - 24:21
    I still feel like I'm the
    best with my students,
  • 24:21 - 24:25
    but I also realize that I'm limited just
  • 24:25 - 24:27
    in terms of being one individual
  • 24:27 - 24:29
    in a classroom of 32 individuals,
  • 24:29 - 24:32
    or however many students
    you have in your classroom.
  • 24:33 - 24:34
    I'm missing a lot.
  • 24:34 - 24:36
    There's a lot that I miss
    that I'm not able to get to.
  • 24:36 - 24:40
    And so, I think one of the
    things for our district is,
  • 24:40 - 24:44
    I mean, obviously, we've done
    extensive amounts of training.
  • 24:44 - 24:46
    There was a pilot group that went through.
  • 24:46 - 24:48
    That builds a level of comfort
  • 24:48 - 24:52
    when you see the way that
    the AI actually responds.
  • 24:52 - 24:56
    You have to allow teachers
    the opportunity to engage
  • 24:56 - 25:00
    as a teacher with, say, Khanmigo,
    TutorMe Math and Science.
  • 25:00 - 25:03
    And there is a toggle switch,
    you can switch it over,
  • 25:03 - 25:05
    you can be a student.
  • 25:05 - 25:08
    So, you can see how it's going to interact
  • 25:08 - 25:11
    and it kind of builds
    that confidence that yes,
  • 25:11 - 25:12
    this is gonna interact with the student
  • 25:12 - 25:13
    in the same way that I would,
  • 25:13 - 25:16
    that it's not just going
    to allow them to cheat,
  • 25:16 - 25:17
    give them the answers.
  • 25:17 - 25:20
    Because I think the
    cheating is the big thing.
  • 25:20 - 25:22
    For a lot of teachers, the big issue,
  • 25:22 - 25:23
    "I don't want them cheating."
  • 25:23 - 25:27
    And then also just that
    fear of, oh, well then,
  • 25:27 - 25:30
    and people say it, "Oh, then
    AI can just teach the class."
  • 25:30 - 25:32
    I would argue that my classroom
  • 25:32 - 25:37
    has become more human since
    I've started using AI.
  • 25:37 - 25:40
    And what I mean is the
    level of connectedness
  • 25:40 - 25:43
    in my classroom between
    myself and my students,
  • 25:43 - 25:45
    based on things like, say,
  • 25:45 - 25:48
    lesson hook, teacher tool,
    lesson hook, that I'll create.
  • 25:48 - 25:53
    Whereas I might have just
    started maybe with a bell ringer,
  • 25:53 - 25:55
    reviewing old knowledge,
  • 25:55 - 25:57
    I might start with a bell
    ringer or with a lesson hook
  • 25:57 - 25:59
    that engages the students,
  • 25:59 - 26:02
    gets them having conversations
    with one another.
  • 26:02 - 26:04
    That's a way that I've used AI
  • 26:04 - 26:07
    to create more human
    connection in my classroom.
  • 26:07 - 26:10
    So, I think just having
    those solid examples
  • 26:10 - 26:13
    of the ways that teachers have used AI
  • 26:13 - 26:16
    to increase student
    communication with one another
  • 26:16 - 26:19
    and the teacher, and student
    engagement with one another,
  • 26:19 - 26:22
    the course material, and the teacher,
  • 26:22 - 26:27
    so I think those things help
    when you see it in action,
  • 26:27 - 26:31
    help allay fears that
    this is gonna take over
  • 26:31 - 26:33
    or that we don't need teachers anymore.
  • 26:33 - 26:35
    I think quite the opposite.
  • 26:35 - 26:38
    I'm more connected to my
    students than I've ever been
  • 26:38 - 26:41
    now that AI has pieced the
    puzzle, because quite honestly,
  • 26:41 - 26:43
    I just think it makes
    me think out of the box.
  • 26:43 - 26:46
    It makes me try new things.
  • 26:46 - 26:50
    Because I thought I was
    really good at what I did
  • 26:50 - 26:53
    and my lectures are pretty awesome,
  • 26:53 - 26:56
    and I don't know why you
    wouldn't love my lecture
  • 26:56 - 26:57
    as much as I do.
  • 26:58 - 27:01
    And so, I also know that
    that maybe isn't the way
  • 27:01 - 27:02
    that all students learn.
  • 27:02 - 27:07
    And so, I've gotten out
    of my box quite a bit,
  • 27:07 - 27:09
    and it's been through using, like,
  • 27:09 - 27:12
    I am not an idea-generating person.
  • 27:12 - 27:13
    But if I go to lesson hook,
  • 27:13 - 27:16
    I'm gonna get three ideas right away,
  • 27:16 - 27:17
    and I'm not stopping there,
  • 27:17 - 27:20
    because then you can use
    the AI to help you make,
  • 27:20 - 27:22
    if you need to make a
    student lab document,
  • 27:22 - 27:24
    or you need to make an
    introductory activity
  • 27:24 - 27:24
    that you put in Canvas.
  • 27:24 - 27:26
    I don't stop there.
  • 27:26 - 27:29
    I make it do it all for me, of course,
  • 27:29 - 27:32
    with my feedback and my input,
  • 27:32 - 27:34
    but it also changes the
    vibe in my classroom,
  • 27:34 - 27:36
    which is just really cool to see.
  • 27:36 - 27:39
    So, it's a place where
    it looks collaborative.
  • 27:39 - 27:41
    I had a teacher walk in,
  • 27:41 - 27:45
    one of our MTSS teachers
    came in the other day
  • 27:45 - 27:47
    to bring me something and she's like,
  • 27:47 - 27:49
    "Oh my gosh, your classroom
    management's awesome."
  • 27:49 - 27:51
    I'm like, "It's not really
    my classroom management.
  • 27:51 - 27:54
    These kids are just way into
    what they're doing right now."
  • 27:54 - 27:57
    And so, it's really cool.
  • 27:58 - 28:00
    - And that kind of brings back
    to what Donna had mentioned
  • 28:00 - 28:03
    about having time to
    work on these soft skills
  • 28:03 - 28:05
    and to make connections with your students
  • 28:05 - 28:07
    that we all want to do as teachers,
  • 28:07 - 28:10
    but sometimes we're just so
    bogged down in the details
  • 28:10 - 28:13
    that that kind of gets
    swept under the rug,
  • 28:13 - 28:14
    unfortunately, too much.
  • 28:16 - 28:18
    So, Donna, what advice would you give
  • 28:18 - 28:21
    to district leaders who
    want to start integrating AI
  • 28:21 - 28:25
    into their science
    instruction effectively?
  • 28:25 - 28:29
    - Yeah, our content team
    actually visited several schools
  • 28:29 - 28:31
    in Texas two weeks ago,
  • 28:31 - 28:34
    and we saw a lot of teachers
    who are quickly adopting this,
  • 28:34 - 28:35
    and then we also saw a lot of teachers
  • 28:35 - 28:37
    who are a bit more hesitant.
  • 28:37 - 28:40
    And so, some of the
    things that I would say
  • 28:40 - 28:42
    to help with those conversations
    with the latter group
  • 28:42 - 28:46
    would be to first try
    and pinpoint what it is
  • 28:46 - 28:49
    that they're struggling
    with, your teachers, that is.
  • 28:49 - 28:51
    What are their needs?
  • 28:51 - 28:52
    Because I think it varies,
  • 28:52 - 28:53
    it varies a lot based on
  • 28:53 - 28:55
    how many years they've been teaching,
  • 28:55 - 28:57
    what age group they're
    teaching, the domain.
  • 28:57 - 28:58
    So, you wanna try and figure out,
  • 28:58 - 29:01
    what are you struggling with right now?
  • 29:01 - 29:03
    How are you resolving
    those issues, if at all?
  • 29:03 - 29:06
    And likely, you'll see that
    it's probably some form
  • 29:06 - 29:09
    of an unsustainable system,
    or there's nothing there.
  • 29:09 - 29:12
    It's just kind of like, "Oh,
    I'm just kind of winging it."
  • 29:12 - 29:14
    Because again, there's so much going on.
  • 29:14 - 29:18
    And I think that is where
    the conversation can begin
  • 29:18 - 29:20
    and you can step in and
    start talking about some
  • 29:20 - 29:21
    of the ideas that Melissa shared.
  • 29:21 - 29:23
    She shared a ton of ideas,
  • 29:23 - 29:26
    and that both of us have
    shared throughout this webinar.
  • 29:26 - 29:31
    And they can start to step
    in and make those a reality.
  • 29:31 - 29:33
    Because I think that ultimately,
  • 29:33 - 29:36
    the conversation does need
    to make sure it spins toward
  • 29:36 - 29:38
    this idea that AI, technology,
  • 29:38 - 29:40
    they're not the final solution,
  • 29:40 - 29:43
    they're not the answer, they're
    not going to be everything.
  • 29:43 - 29:46
    They're not going to replace
    teachers, as Melissa says,
  • 29:46 - 29:48
    they're going to offer some relief, right?
  • 29:48 - 29:50
    They're gonna give back some of that time.
  • 29:50 - 29:52
    They're gonna provide you some support
  • 29:53 - 29:56
    and it's going to make
    it so that you can focus
  • 29:56 - 29:59
    on the parts of your teaching
    that you love the most.
  • 29:59 - 30:01
    And it does take some finessing.
  • 30:01 - 30:03
    I think Melissa was touching on this,
  • 30:03 - 30:06
    where you can get Khanmigo
    to create you something,
  • 30:06 - 30:08
    but you do need to do
    a little work with it.
  • 30:08 - 30:11
    So, that needs to be part
    of the conversation as well.
  • 30:11 - 30:13
    You do know your kids best and you do,
  • 30:13 - 30:16
    (bell ringing)
    there's that bell, Melissa,
  • 30:16 - 30:18
    you do know your kids best.
  • 30:18 - 30:20
    - It's real.
    - I know.
  • 30:20 - 30:22
    She's in the real classroom right now.
  • 30:23 - 30:26
    But yeah, just kind of
    linking it back to the context
  • 30:26 - 30:27
    that they're in at the moment,
  • 30:27 - 30:30
    the problems that they're
    trying to resolve at the moment,
  • 30:30 - 30:31
    because the list is endless.
  • 30:31 - 30:33
    We know every day you get home
  • 30:33 - 30:34
    and there's still a million things to do
  • 30:34 - 30:36
    that you're not gonna be able to get to.
  • 30:36 - 30:40
    So, utilizing this technology
    and controlling it too,
  • 30:40 - 30:42
    and saying, "I'm not
    gonna give away that part
  • 30:42 - 30:44
    of what I love about teaching."
  • 30:44 - 30:46
    I love making creative,
  • 30:46 - 30:50
    differentiated parts of my
    assignments and my assessments,
  • 30:50 - 30:51
    so I'm not gonna give that to Khanmigo,
  • 30:51 - 30:54
    I'm gonna give something different to it
  • 30:54 - 30:56
    that's going to make me better
  • 30:56 - 30:57
    at the things that I love doing
  • 30:57 - 31:00
    and the things that I'm good at doing.
  • 31:00 - 31:03
    So, that's how I would probably
    start that conversation.
  • 31:03 - 31:05
    But also curious, Melissa,
  • 31:06 - 31:11
    what you might say to give
    district admin some tips on this.
  • 31:13 - 31:15
    - Just in terms of I would start small
  • 31:15 - 31:17
    in terms of integration
  • 31:17 - 31:20
    and just know that there's
    gonna be a learning curve.
  • 31:21 - 31:25
    And again, I'm modeling
    this off of my experience,
  • 31:25 - 31:28
    and I think my experience here
  • 31:28 - 31:29
    in School City of Hobart,
  • 31:30 - 31:33
    it's always unique and
    it's always powerful
  • 31:33 - 31:36
    because School City of
    Hobart does provide us
  • 31:36 - 31:38
    with so many resources.
  • 31:38 - 31:40
    And so, I think just starting small
  • 31:40 - 31:41
    in terms of integration,
  • 31:41 - 31:44
    but also just really
    setting some benchmarks
  • 31:44 - 31:46
    and some guidelines
  • 31:46 - 31:49
    in terms of how you want
    your students utilizing AI.
  • 31:49 - 31:51
    And one of the things that we did here
  • 31:51 - 31:53
    in School City of Hobart
  • 31:53 - 31:57
    is talk about a continuum of AI
  • 31:57 - 31:59
    and how much you wanted it to
    be a part of your classroom
  • 31:59 - 32:00
    and your assignments.
  • 32:00 - 32:03
    And that was more of a consensus activity
  • 32:03 - 32:05
    where teachers came together
  • 32:05 - 32:07
    and we really talked about
  • 32:07 - 32:08
    what that continuum would look like
  • 32:08 - 32:12
    and where you were on
    that comfort continuum.
  • 32:12 - 32:16
    So, if you're comfortable
    with using it as as a tutor,
  • 32:16 - 32:17
    but you're not comfortable
  • 32:17 - 32:19
    with letting students use it for writing,
  • 32:19 - 32:21
    which at that time there
    wasn't writing coach.
  • 32:21 - 32:23
    So, now, I mean, honestly
    limitless, right?
  • 32:23 - 32:28
    With writing coach, but again,
    setting realistic benchmarks.
  • 32:30 - 32:33
    Even last week we had one
    of our math teachers do
  • 32:33 - 32:34
    a training on Bookit.
  • 32:34 - 32:38
    So, just those small piecemeal
    integration training,
  • 32:38 - 32:40
    so you're not overwhelming everyone,
  • 32:40 - 32:41
    but hey, go back and try this.
  • 32:41 - 32:43
    I don't think there's a single teacher
  • 32:43 - 32:46
    that I know that didn't try it,
  • 32:46 - 32:48
    because how can you not try it?
  • 32:48 - 32:51
    Because it integrates directly into Bookit
  • 32:51 - 32:52
    and then you can play
  • 32:52 - 32:55
    and you've got this engagement
    strategy for your students.
  • 32:55 - 32:58
    So, I think just the
    little, starting small,
  • 32:58 - 33:00
    like, I always start when
    someone asks me like,
  • 33:00 - 33:02
    "Where did you start?"
  • 33:02 - 33:06
    Start with lesson hook
    in terms of my teaching,
  • 33:06 - 33:07
    five minutes, right?
  • 33:07 - 33:09
    So, it took me,
  • 33:09 - 33:11
    usually I can spend
    between five and 10 minutes
  • 33:11 - 33:13
    and just change the
    trajectory of my whole day.
  • 33:13 - 33:15
    So, I would share that
    with other teachers.
  • 33:15 - 33:19
    So, definitely, and draw on the
    experience of other teachers
  • 33:19 - 33:22
    and draw on the experience
    of other districts
  • 33:22 - 33:26
    and what other teachers have to say
  • 33:26 - 33:28
    in terms of the benefits
  • 33:28 - 33:29
    that it's shown in their classroom,
  • 33:29 - 33:32
    not only for themselves,
    but for their students.
  • 33:32 - 33:34
    And I think it really sells you
  • 33:34 - 33:36
    when you see your students
    building confidence,
  • 33:36 - 33:38
    when you know that your students go home
  • 33:38 - 33:40
    and that they have access
  • 33:40 - 33:42
    to a one-on-one tutor
  • 33:42 - 33:46
    that's going to talk with
    them in a Socratic way,
  • 33:46 - 33:47
    asking them questions
  • 33:47 - 33:49
    the way that you would ask them questions
  • 33:49 - 33:51
    instead of just giving them the answers.
  • 33:51 - 33:56
    So, I think just my advice is to really,
  • 33:56 - 33:57
    you have to try it,
  • 33:57 - 33:58
    but you have to start small
  • 33:58 - 34:02
    and you have to let teachers
    really see the benefit.
  • 34:02 - 34:04
    And I don't know any teachers,
  • 34:05 - 34:07
    no, I don't know any teachers
  • 34:07 - 34:09
    that have seen the direct benefit
  • 34:09 - 34:14
    that do not use it
    willingly as an extension
  • 34:15 - 34:18
    of what they're able to
    do for their students
  • 34:18 - 34:18
    in the classroom,
  • 34:18 - 34:20
    because why wouldn't
    you want your students
  • 34:20 - 34:23
    to have one more tool in their toolbox
  • 34:23 - 34:26
    and be able to empower themselves
  • 34:26 - 34:29
    and be able to build confidence,
  • 34:29 - 34:31
    and be able to learn how
    to ask those questions
  • 34:31 - 34:34
    when they don't know what to do?
  • 34:34 - 34:35
    And that's the thing,
  • 34:35 - 34:37
    we want students to know how to behave
  • 34:37 - 34:39
    when they don't know what to do.
  • 34:39 - 34:41
    In science, it's a lot
    about finding answers,
  • 34:41 - 34:45
    but it's also a lot about
    asking really great questions.
  • 34:45 - 34:48
    And so, the more we can
    get students engaged
  • 34:48 - 34:52
    with asking their own
    questions in any subject area
  • 34:52 - 34:55
    and gaining a deeper understanding
  • 34:55 - 34:58
    of those through the incorporation of AI,
  • 34:58 - 35:00
    I think is a win-win for everyone.
  • 35:02 - 35:03
    - All right, Donna,
  • 35:03 - 35:06
    any final closing thoughts from you today
  • 35:06 - 35:09
    and things that you want
    our fellow science educators
  • 35:09 - 35:10
    to walk away from?
  • 35:12 - 35:13
    - Yeah, I think, Melissa,
  • 35:13 - 35:15
    you hit it really well on that last one.
  • 35:15 - 35:19
    Going incremental with
    taking on these new ideas.
  • 35:19 - 35:21
    There's so many tools out there, right?
  • 35:21 - 35:24
    And there's so many things
    that we're asked to try out.
  • 35:24 - 35:27
    So, trying it incrementally and seeing,
  • 35:27 - 35:29
    how does this work for me?
  • 35:29 - 35:29
    I would say, teachers,
  • 35:29 - 35:33
    try it yourself before you
    hand it off to your students.
  • 35:33 - 35:35
    We would never give our students a lab
  • 35:35 - 35:37
    before we've tried it, unless
    you're in your first year,
  • 35:37 - 35:39
    then you make that mistake, right?
  • 35:40 - 35:42
    Then you're like, "Whoops, never again."
  • 35:42 - 35:45
    So, trying it yourself, seeing,
    how does this thing work?
  • 35:45 - 35:46
    What are its limitations?
  • 35:46 - 35:48
    What are some of the things
    we can laugh at about it
  • 35:48 - 35:50
    'cause it's not doing it well?
  • 35:50 - 35:52
    That's how technology is,
  • 35:52 - 35:56
    and what can it actually do
    to help with all the tasks
  • 35:56 - 35:57
    that are on my plate?
  • 35:57 - 35:59
    And how can it, I love, Melissa,
  • 35:59 - 36:02
    your spin on it is very,
  • 36:02 - 36:05
    it's close to my heart
    in getting these students
  • 36:05 - 36:07
    to have those independent skills
  • 36:07 - 36:09
    and to be able to
    function independently out
  • 36:09 - 36:11
    in the real world world
    when they get out there.
  • 36:11 - 36:12
    We're both high school teachers,
  • 36:12 - 36:15
    so we're seeing these kids
    at their sophomore year
  • 36:15 - 36:18
    when they're really starting
    to integrate into society
  • 36:18 - 36:19
    and with their friends and everything.
  • 36:19 - 36:24
    So, it's cool to be able to have something
  • 36:24 - 36:26
    that's supporting us
    in all of those aspects
  • 36:26 - 36:29
    of what we do for these students.
  • 36:31 - 36:34
    - It's been so great to
    hear both of your insights
  • 36:34 - 36:36
    and expertise, especially on today,
  • 36:36 - 36:40
    the International Day of
    Women and Girls in Science.
  • 36:40 - 36:42
    And as you've heard from Melissa,
  • 36:42 - 36:44
    Hobart has strategically
    implemented Khan Academy
  • 36:44 - 36:47
    and Khanmigo at their district
  • 36:47 - 36:49
    with a district partnership.
  • 36:49 - 36:51
    Here is a link if you want to learn more
  • 36:51 - 36:53
    about partnering with our team.
  • 36:53 - 36:55
    Aviv, before we end,
  • 36:55 - 36:58
    any questions in the chat
    that we need to respond to?
  • 36:58 - 36:59
    - [Aviv] Nope, not today. Thanks.
  • 36:59 - 37:01
    - Okay, great.
  • 37:01 - 37:03
    Well, thank you for joining
    us today and onward.
  • 37:07 - 37:08
    - Thank you.
    - Bye.
Title:
Closing Science Gaps with AI
Description:

more » « less
Video Language:
English
Team:
Khan Academy
Duration:
37:20

English subtitles

Incomplete

Revisions