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How Experts Differ from Novices

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Title: How Experts Differ from Novices


1
How Experts Differ from Novices
  • Melissa Eubank

2
How Experts Differ form Novices
  • When it comes to problem solving, experts have
    gained a lot of knowledge that affects what they
    notice.
  • This knowledge also affects how they organize,
    represent, and interpret information.

3
How Experts Differ from Novices
  • 6 Principles of Expertise
  • Meaningful Patterns of information
  • Organization of Knowledge
  • Context and Access to Knowledge
  • Fluent Retrieval
  • Experts and Teaching
  • Adaptive Expertise

4
Meaningful Patterns of Information
  • Experts notice features and meaningful patterns
    of information that are not noticed by novices.
  • Experience is Key
  • Chunking
  • Examples
  • Chess
  • Electronics Technicians
  • Physicists
  • Teachers

5
Meaningful Patterns of Information
  • Experience
  • Experts have seen the problem before, therefore
    they can see patterns of meaningful information.
  • The problem is not really a problem.
  • Because they can see the patterns of meaningful
    information experts problem solving starts at a
    higher level.

6
Meaningful Patterns of Information
  • Chunking
  • Put together information into familiar patterns.
  • Chunking enhances short term memory.
  • Example
  • 01110001110100101

7
Meaningful Patterns of Information
  • Chess Masters vs. Lesser ranked chess players.
  • Chess masters were able to out play their
    opponents because if the knowledge they acquired
    from hours upon hours of playing chess.
  • Chess masters experiences lead to recognition of
    meaningful chess configurations (using chunking)
    which leads to the realization of the best
    strategy with the most superior moves to win
    based on these configurations.
  • Chess masters can chunk together chess pieces in
    a configuration.

8
Meaningful Patterns of Information
  • Electronics Technicians.
  • Expert electronics technicians were able to
    reproduce large portions of complex circuit
    diagrams after only a few SECONDS of viewing.
  • Chunked several individual circuit elements that
    performed the function of an amplifier.
  • Novices could not do this.
  • Being a novice in this area I hardly understand
    the words!!

9
Meaningful Patterns of Information
  • Physicists
  • Mathematical Experts
  • Recognize problems of river currents and problems
    of headwinds and tailwinds in airplanes to all
    involve relative velocities.
  • They chunked all of these into relative velocity
    problems. Only an expert physicist would be able
    to do that with expert mathematical skills would
    be able to do that.

10
Meaningful Patterns of Information
  • Teachers
  • Expert and Novice teachers were shown a
    videotaped classroom lesson and asked to talk
    about what they were seeing.
  • Expert teachers noticed
  • Note-taking strategies of students.
  • Students loosing interest in the lesson.
  • That the students seem to be accelerated
    learners.
  • Novice teachers
  • Couldnt tell what students were doing.
  • Couldnt understand what was going on.
  • Said Its a lot to watch.

11
Organization of Knowledge
  • Experts have acquired a great deal of content
    knowledge that is organized in ways that reflect
    a deep understanding of their subject matter.
  • Big Ideas guide expert thinking.
  • Experts understand the problem vs. novices who
    just want to solve the problem.
  • Examples
  • Physics
  • Mathematics
  • Adults and Children

12
Organization of Knowledge
  • Big Ideas
  • Experts knowledge is organized around core
    concepts that guide their thinking about their
    domains.
  • Novices are more likely to approach problems by
    searching for the correct formulas. Their
    knowledge is simply a list of facts and formulas
    that are relevant to the domain.

13
Organization of Knowledge
  • Understanding the problem.
  • Experts want to understand what the problem means
    rather than just plug in numbers in a formula to
    get an answer.
  • By understanding the problem experts can then
    explain why they used the tactics they did to
    solve the problem.

14
Organization of Knowledge
  • Physics
  • Experts
  • Use the core concept if Newtons 2nd Law. The
    sum of the external forces equals the mass
    multiplied by the acceleration. FMa.
  • Draw Free Body Diagrams in order to see all the
    external forces and get a generic formula for
    solving the problem.
  • When looking at different problems experts group
    these problems based on the major principle that
    could be applied to solve.
  • Novices
  • Immediately plug in numbers into formulas.
  • Memorize, recall and manipulate to get answers
    they need.
  • Grouped problems together based on if the
    pictures looked similar.

15
Organization of Knowledge
  • Mathematics
  • Experts want to understand the problem and not
    just plug in numbers like novices.
  • Experts and Novices were asked to solve an
    algebra word problem that is logically
    impossible.
  • Experts wanting to understand the problem quickly
    realized that it was logically impossible
  • Novices used the numbers in the problem to plug
    into equations that they would use to solve it,
    getting an unrealistic answer.

16
Organization of Knowledge
  • Adults (Experts) vs. Children (Novices)
  • Adults and children were asked
  • There are 26 sheep and 10 goats on a ship. How
    old is the captain?
  • Adults had enough expertise to realize that you
    do not have enough information to solve this
    problem.
  • Children attempted to answer this question with a
    number by adding, subtracting, etc. They did not
    try to understand the problem.

17
Context and Access to Knowledge
  • Experts knowledge cannot be reduced to isolated
    facts or propositions but, instead, reflects
    contexts of applicability that is, the knowledge
    is conditionalized on a set of circumstances.
  • Retrieving relevant knowledge
  • Conditionalized
  • Examples
  • Textbooks
  • Word Problems
  • Tests

18
Context and Access to Knowledge
  • Retrieving relevant knowledge.
  • Experts know A LOT. But when they need to solve
    a certain problem they dont need all of the
    information they know.
  • Experts do not search through all the knowledge
    they know. This would be overwhelming. Experts
    selectively retrieve the relevant information
    they need.
  • Experts are GOOD at retrieving the relevant
    knowledge they need to solve a problem.

19
Context and Access to Knowledge
  • Conditionalized Knowledge
  • Conditionalized- Knowledge includes a
    specification of the contexts in which it is
    useful.
  • In other words, experts know when their
    knowledge is useful.
  • Knowledge must be conditionalized in order to be
    retrieved when it is needed.
  • Have to know when your knowledge is useful in
    order to retrieve that knowledge when it is
    needed to solve a problem.

20
Context and Access to Knowledge
  • Textbooks
  • DO NOT help students to conditionalize their
    knowledge. They teach laws of mathematics but
    not when these laws are useful for problem
    solving.
  • Students have to learn when their knowledge is
    useful all on their own.
  • Present facts and formulas, but not the
    conditions in which these facts and formulas are
    useful.

21
Context and Access to Knowledge
  • Word Problems
  • Word problems that use the appropriate facts and
    formulas help students to know when, where and
    why to use the knowledge they are learning.
  • Example Addition and Subtraction.
  • If you have 2 apples and your friend Julie gives
    you 7 more but then Charlie eats 3 of your
    apples. How many apples do you have?
  • Children might know how to add and subtract
    numbers but the word problem will help them to
    know when their knowledge is useful.

22
Context and Access to Knowledge
  • Tests
  • Many ask for only facts and not when, where or
    why to use those facts.
  • Some tests have questions that are in order of
    how students learned them from the book.
  • Therefore students think that they have
    conditionalized their knowledge but they have
    really memorized in order of the book when to use
    which formulas and not learned when the formulas
    are actually useful.
  • If these same students were to take another test
    with questions presented randomly with no hint as
    to where the formulas were in the book they would
    not do as well.

23
Context and Access to Knowledge
  • What knowledge do you have that you know exactly
    when it is useful?
  • For example I know how to take derivatives and
    velocity is the derivative of position. So if I
    am presented a velocity vs. time graph all I have
    to do to find the position at a given time is to
    find the area under the curve.

24
Fluent Retrieval
  • Experts are able to flexibly retrieve important
    aspects of their knowledge with little
    attentional effort.
  • Effortful
  • Relatively effortless to automatic
  • Leads to progression
  • Example
  • Driving a car
  • Reading

25
Fluent Retrieval
  • Effortful
  • Novices
  • Places demands on the learners attention.
  • Attention is being expended on remembering
    instead of learning.
  • If a student is trying to learn algebra and they
    are not an expert in addition, then they will be
    giving attention to the addition instead of
    learning algebra.

26
Fluent Retrieval
  • Effortless to Automatic
  • Experts
  • Fluency places fewer demands on their conscious
    attention.
  • Allows more capacity of attention on another
    task.
  • Like the example before, now, if the student can
    retrieve information on how to add effortlessly
    or automatically they can focus more on learning
    how to solve algebraic equations.
  • Doesnt mean that experts solve problems faster
    than novices. Sometimes they can take longer
    because they are attempting to deeply understand
    the problem.

27
Fluent Retrieval
  • Driving a car.
  • At first everyone starts out as Novices and they
    have to consciously think about all of the moves
    that are associated with driving.
  • Checking mirrors.
  • Checking speed.
  • Radius of turn.
  • How hard to apply brakes and gas.
  • Which peddles are the brakes and gas.
  • Turning on your blinker when turning.
  • After experience however all of this becomes
    automatic unconscious thought.
  • People can drive while carrying on a
    conversation.
  • Sometimes I drive from one destination to another
    and dont even remember how they got there.

28
Fluent Retrieval
  • Progression
  • Fluent retrieval is very important so that
    solutions can be easily retrieved from memory and
    you can continuously progress onto higher
    learning.

29
Fluent Retrieval
  • Reading
  • When someone starts out learning to read they
    have to sound out the words, usually syllable by
    syllable. It is really hard to focus your
    attention on the actual material you are reading
    when you have to focus on the words.
  • After experience, reading becomes automatic
    unconscious thought and the reader focuses on
    what they are actually reading.

30
Fluent Retrieval
  • What knowledge do you find
  • Effortful?
  • Effortless?
  • Automatic?

31
Experts and Teaching
  • Though experts know their disciplines
    thoroughly, this does not guarantee that they are
    able to teach others.
  • Expertise in a particular domain
  • Expert teachers
  • Examples
  • Hamlet
  • My 9th grade Biology Teacher

32
Experts and Teaching
  • Expertise in a particular domain.
  • Does not guarantee that they will be good at
    helping other people learn.
  • Can sometimes hurt teaching because experts can
    forget what is easy and difficult for students to
    learn. To them it all seems easy.
  • If they dont have pedagogical content knowledge
    then they are more likely to rely on their
    textbook for how to teach their students.
  • The textbook doesnt know anything about their
    particular classroom.
  • Class could have different prior knowledge and
    not on the same level that the book expects.

33
Experts and Teaching
  • Expert Teachers
  • Know the difficulties that students are likely to
    face when learning.
  • Good at knowing what existing knowledge their
    students have so that they can make new
    information meaningful.
  • Also good at assessing their students progress.
  • Have pedagogical content knowledge not just their
    content knowledge.
  • Underlies effective teaching.

34
Experts and Teaching
  • Hamlet
  • Teacher 1
  • Couldnt get into the mind set of his students.
  • Made them memorize long-passages, do in-depth
    analyses of soliloquies and write a paper on the
    importance of language in Hamlet. (This sounds
    really boring to me!)
  • Knew all about Hamlet, but not how to teach it to
    his students.
  • Teacher 2
  • Knew how to get into his students heads.
  • Knew all about Hamlet too, but also how to teach
    students.
  • Asked them questions about life situations that
    pertained to Hamlet before even talking about the
    play.
  • Asked about how the students would feel about
    their parents splitting due to a new man in moms
    life and that man might be responsible for dads
    death. Then to think about what would cause them
    to go mad and commit murder.
  • This got the students attention and then they
    were interested in Hamlet.

35
Experts and Teaching
  • Ms. Yin
  • Brilliant in the field of Biology
  • Horrible teacher

36
Adaptive Expertise
  • Experts have varying levels of flexibility in
    their approach to new situations.
  • Artisans
  • Virtuosos
  • Metacognition
  • Answer-filled Experts
  • Accomplished Novices
  • Examples
  • Japanese sushi experts
  • Information systems designers

37
Adaptive Expertise
  • Artisans
  • merely skilled
  • Relatively routinized

38
Adaptive Expertise
  • Virtuosos
  • highly competent
  • One that is flexible and more adaptable.
  • Learn throughout their lifetime.
  • Not only use what they have learned but are
    metacognitive and continuously question their
    current levels of expertise and attempt to move
    beyond them.
  • But which learning experiences lead develop
    virtuosos.
  • Still challenges people.

39
Adaptive Expertise
  • Metacognition
  • The ability to monitor ones current level of
    understanding and decide when it is not adequate.
  • When there are limits of ones current
    knowledge, you must take the right steps to
    remedy the situation. Learn more.

40
Adaptive Expertise
  • Answer filled experts
  • A common assumption is that and expert is someone
    who knows all the answers.
  • This puts restraint on new learning because
    experts worry about looking incompetent when they
    might need help in certain areas.
  • They want to be called Accomplished Novices.

41
Adaptive Expertise
  • Accomplished Novices
  • Skilled in many areas and proud of their
    accomplishments, but they realize that they do
    not know everything. They do not know everything
    especially when compared to all that is
    potentially knowable.
  • Experts being called accomplished novices helps
    people feel free to continue to learn.

42
Adaptive ExpertiseJapanese sushi experts
  • Artisan
  • Excels in following a fixed recipe.
  • Virtuoso
  • Can prepare sushi creatively.
  • Both can make great sushi but how they are
    prepared is different.

43
Adaptive ExpertiseInformation systems designers
  • Work with clients who know what they want.
  • Artisans
  • Skilled
  • Use their existing expertise to do familiar tasks
    more efficiantly.
  • Tend to accept the problem and its limits as
    stated by their clients.
  • Virtuosos
  • Creative
  • View assignments as opportunities to explore and
    expand their current level of expertise.
  • Consider the clients statement of the problem a
    point for further exploration.

44
Experts vs. Novices
  • The six principles of expertise need to be
    considered simultaneously, as parts of an overall
    system.

45
Experts vs. Novices
  • A28 degrees
  • Find all other angles.
  • Principles of expertise?
  • Are you an expert?

46
Experts vs. Novices
  • A 20-kg mass is attached to a spring with
    stiffness 200 N/m. The damping constant for the
    system is 140 N-sec/m. If the mass is pulled 25
    cm to the right of equilibrium and given an
    initial leftward velocity of 1 m/sec, when will
    it first return to its equilibrium position?
  • What expertise do you need to solve this?
  • If you have that expertise, what principles of
    expertise are applied?
  • Are you an expert or a novice?

47
Experts vs. Novices
  • Acceleration of 3-kg mass problem (on hand out).
  • What expertise?
  • What principles of expertise?
  • Expert or Novice?

48
Experts vs. Novices
  • A board was sawed into two pieces. One piece was
    two-thirds as long as the whole board and was
    exceeded in length by the second piece by four
    feet. How long was the board before it was cut?
  • Principles of Expertise?

49
Experts vs. Novices
  • Puzzle
  • 5 years ago Kate was 5 times as old as her Son. 5
    years hence her age will be 8 less than three
    times the corresponding age of her Son. Find
    their ages.
  • What expertise?
  • Principles of expertise?
  • Expert?

50
Experts vs. Novices
  • First draw a table like this one below
    5 YRS AGO PRESENT
    5 YRS LATER
  • KATE 5x
    5x 5 5x
    10
  • SON x
    x 5
    x 10Now we know that 5 years from now Kate's
    age will be 8 less than three times the
    corresponding age of her Son. So, if we add 8 to
    Kate's age , 5 years from now, and make her Son's
    age 3 times more we will find out 'x' and PROBLEM
    SOLVED. Therefore5x 10 8 3(x 10)5x
    18 3x 305x - 3x 30 - 182x 12x 12 /
    2x 6Now Kate's Present age is 5x 55(6)
    5 30 5 35 YEARS
  • Now her Son's Present age is x 5 6 5 11
    YEARS
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