Harnessing%20Technology%20to%20Promote%20Model-Based%20Learning%20and%20Scientific%20Literacy - PowerPoint PPT Presentation

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Harnessing%20Technology%20to%20Promote%20Model-Based%20Learning%20and%20Scientific%20Literacy

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Title: Harnessing%20Technology%20to%20Promote%20Model-Based%20Learning%20and%20Scientific%20Literacy


1
Harnessing Technology to Promote Model-Based
Learning and Scientific Literacy
  • Janice Gobert
  • The Concord Consortium
  • jgobert_at_concord.org
  • mtv.concord.org
  • mac.concord.org
  • Making Thinking Visible is funded by the the
    National Science Foundation under grant No.
    REC-9980600 awarded to Janice Gobert (Principal
    Investigator).
  • MAC is funded by the the National Science
    Foundation and the U.S. Dept. of Education under
    a grant awarded to the Concord Consortium (IERI
    0115699). Any opinions, findings, and
    conclusions expressed are those of the presenters
    and do not necessarily reflect the views of the
    National Science Foundation or the Dept. of
    Education.

2
INE/IKIT themes addressed by Making Thinking
Visible
  • Building on intuitive understandings--MTV does
    this MAC leverages from physical intuitions.
  • Focus on idea improvement--MTV MAC focuses on
    progressive model-building (White Frederiksen,
    1990 Raghavan Glaser, 1994 Gobert, 2000).
  • Shared problem spaces as a basis for cross-age,
    cross-sector learning and knowledge
    creation.Shared problem spaces for
    cross-distance knowledge creation (MTV).
  • Comprehending difficult text as a task for
    collaborative problem-solving--Scaffolding
    difficult learning tasks (MTV MAC). Other work
    on orienting tasks as a way to promote deep
    understanding of text (Gobert Clement, 1999
    Gobert, 1997 Gobert, in prep.)
  • Controlling time demands of on-line teaching and
    knowledge-buildingScaffolding knowledge
    integration (model-building) and transfer (MTV
    MAC).

3
What do we mean by scientific literacy?
  • The book Science for All Americans (late
    80s)-party responsible for changing the way we
    think about WHO gets educated in science.
  • If accessible to a broad range of learners, then
    how to make it so.focus on qualitative
    understanding of causal relationships underlying
    scientific phenomena.
  • Knowledge in this form is more generative,
    transferable, and can be applied to everyday life
    which important to making decisions that effect
    our everyday lives (e.g., radon testing) .
  • In addition to content knowledge, other aspects
    of scientific literacy are (Perkins, 1986)
  • Process skills (I.e., inquiry, evaluation of
    evidence, communication, etc.)
  • Understanding the nature of science- I.e., that
    it is a dynamic process and that the current
    understanding of science is based our theories
    and methods with which we view them.
  • More recently, it has been argued that
    understanding the nature of models is an
    important aspect of epistemology as well (Gobert
    Discenna, 1996 Schwarz White, 1998).

4
Making Thinking Visible Summary
  • A large scale design study in which 2000 middle
    and high school students from California and
    Massachusetts collaborated on-line about plate
    tectonic activity in their respective location
    using WISE.
  • The curriculum engaged students in many
    inquiry-oriented, model-based activities
  • a) drew models of plate tectonic phenomena in
    their respective area using WISE
  • b) wrote explanations of their models
  • c) were scaffolded to critique their peers
    models
  • d) revised their models based on this feedback
  • e) discussed their own questions in an on-line
    forum.
  • Data analysis focussed on measuring content
    gains, epistemological gains, and characterizing
    the nature of students models and model
    revisions, as well as their discourse.

5
Grounded in research in Science Education and
Cognitive Science...
  • based on students misconceptions of plate
    tectonics of both the inside structure of the
    earth and of the causal mechanisms underlying
    plate tectonic-related phenomena (Gobert
    Clement, 1999 Gobert, 2000), as well as
    students knowledge integration difficulties
    (Gobert Clement, 1994). More on this..
  • emphasizes students active model-building and
    scaffolded interpretation of rich visualizations
    (Kindfield, 1993 Gobert Clement, 1999 Gobert,
    2000 Gobert Buckley, in prep.) as strategies
    to promote deep learning. More on this
  • Implemented in WISE (Web-based Inquiry Science
    Environment) developed by Marcia Linn Jim
    Slotta at UC-Berkeley, which is based on 15 years
    of research in science education (Linn Hsi,
    2000).

6
Previous research on students misconceptions in
earth science in general
  • the earth as a cosmic body (Vosniadou Brewer,
    1992 Nussbaum, 1979, Nussbaum Novak, 1976
    Sneider Pulos, 1983)
  • knowledge of rock-cycle processes (Stofflett,
    1994)
  • conceptions of earth and space as it relates to
    seasons and phases of the moon, (Schoon, 1992
    Bisard et al, 1994)
  • sea floor dynamics (Bencloski and Heyl, 1985)
  • earths gravitational field (Arnold, Sarge, and
    Worrall, 1995)
  • misconceptions about mountain formation
    (Muthukrishna, et al., 1993) and
  • modeling the geosphere, hydrosphere, atmosphere,
    and biosphere (Tallon Audet, 1999)
  • Specific research on understanding of the causes
    of earthquakes with both children (Ross Shuell,
    1993) and adults (Turner, Nigg, Daz, 1986),
    both yielded significant misconceptions.

7
Pilot studies as background to design of Making
Thinking Visible curriculum.
  • Students learning difficulties in this domain
    yielded three main difficulties in student model
    construction processes
  • (1) problems with setting up a correct static
    model of the layers,
  • (2) difficulty understanding causal and dynamic
    information
  • (e.g., heat as causal in forming convection
    currents, or currents causing plate movement),
    and
  • (3) difficulties with the integration of several
    different types of knowledge including causal and
    dynamic knowledge into a causal chain in order to
    build an integrated mental model of the system.
  • Each difficulty has different ramifications on
    model construction and revision processes, as
    well as the transfer and inference-making
    afforded on the basis of the model (for more
    detail, see Gobert, 2000).

8
Typical models of structure of earth (Gobert,
2000)Type 0 10.6, Type 189.4
9
Typical models of volcanic eruption 4.25,
61.6, 29.8, 4.25 respectively
10
Other research literature.
  • In addition to students pre-instruction models
    in designing the unit, we (J. Gobert, Jim Slotta,
    Amy Pallant) drew on current findings from
  • causal models (White, 1993 Schauble et al, 1991
    Raghavan Glaser, 1995),
  • model-based teaching and learning (Gilbert, S.,
    1991 Gilbert, J. 1993)
  • model revising (Clement, 1989 1993 Stewart
    Hafner, 1991)
  • diagram generation and comprehension (Gobert,
    1994 Gobert Frederiksen, 1988 Kindfield,
    1993 Larkin Simon, 1987 Lowe, 1989 1993),
  • the integration of text and diagrams (Hegarty
    Just, 1993), and
  • text comprehension (van Dijk Kintsch, 1983
    Kintsch, 1998).

11
Forms of Knowledge, Info Processing Cognitive
Affordances
  • Knowledge comes in various forms degree of
    visual isomorphism to the object being
    represented is an important difference in terms
    of the information processing required and the
    affordances of the knowledge form. Examples
  • textual representations, which describe in words
    various aspects of science phenomena
  • diagrams/illustrations of static features of
    phenomena
  • models and simulations that attempt to show the
    dynamic, causal mechanisms as well as the
    temporal features of a phenomenon.
  • Textual representations offer the fewest
    cognitive affordances for learners and that
    models and simulations, on the other hands,
    SHOULD offer the greatest number of cognitive
    affordances for learners..

12
Student Difficulty in Learning from Models
  • But simply adding a diagram or a model does not
    facilitate understanding because
  • it increased cognitive load on learners
    (Sweller, et al, 1990).
  • students lack the necessary domain knowledge in
    order to guide their search processes through
    diagrams/models in order to understand the
    relevant spatial, causal, dynamic, and temporal
    information (Lowe, 1989 Head, 1984 Gobert,
    1994 Gobert Clement, 1999).
  • Thus, students need scaffolding in order learn
    from models, in particular to guide their search
    processes (all info is presented simultaneously),
    to support perceptual cues afforded by models,
    support inference-making from these perceptual cu
    es.

13
Model-Based Teaching Learning (Gobert
Buckley, 2000)
  • Synthesis of research in cognitive psychology and
    science education
  • Model-based learning as a dynamic, recursive
    process of learning by constructing mental models
    of the phenomenon under study.
  • Involves formation, testing, and reinforcement,
    revision, or rejection of mental models.
  • Requires modeling skills and reasoning during
    which mental models are used to understand and
    create representations, generate predictions and
    explanations, and transform knowledge from one
    representation to another as well as analyze data
    and solve problems.
  • Analogous to hypothesis development and testing
    seen among scientists (Clement, 1989).

14
Project Goal
  • East and West coast Students collaborate on-line
    about the differences in plate tectonic phenomena
    on-line using WISE (Web-based Inquiry Science
    Environment Linn Hsi, 2000).
  • In doing so, students develop
  • Content knowledge of the spatial, causal,
    dynamic, and temporal features underlying plate
    tectonics.
  • Inquiry skills for model-building and
    visualization.
  • Epistemological understanding of the nature of
    scientific models.
  • See AERA and NARST papers from 2002-03 for these
    papers at mtv.concord.org
  • Demo unit

15
Model-based activities and respective scaffolding
for unit Whats on your plate?
  • Draw, in WISE, their own models of plate
    tectonics phenomena.
  • Participate in an on-line field trip to explore
    differences between the East and West coast in
    terms of earthquakes, volcanoes, mountains
    (beginning with the most salient differences).
  • Pose a question about their current understanding
    (to support knowledge integration and
    model-building)
  • Learn about location of earths plates (to
    scaffold relationship between plate boundaries
    anf plate tectonic phenomena).
  • Reify important spatial and dynamic knowledge
    (integration of pieces of model) about transform,
    divergent, collisional, and convergent
    boundaries.
  • Learn about causal mechanisms involved in plate
    tectonics, i.e., convection subduction
    (scaffolded by reflection activities to integrate
    spatial, causal, dynamic, and temporal aspects of
    the domain).
  • Learn to critically evaluate their peers models
    which in turn serves to help them think
    critically about their own models.

16
Model-based activities and respective scaffolding
for unit (contd)
  • Engage in model revision based on their peers
    critique of their model and what they have
    learned in the unit.
  • Scaffolded reflection task to reify model
    revision which prompt them to reflect on how
    their model was changed and what it now helps
    explain. Prompts are
  • I changed my original model of.... because it
    did not explain or include....
  • My model now includes or helps explain
  • My model is now more useful for someone to learn
    from because it now includes.
  • Reflect and reify what they have learned by
    reviewing and summarizing responses to the
    questions they posed in Activity 3.
  • Transfer what they have learned in the unit to
    answer intriguing points
  • Why are there mountains on the East coast when
    there is no plate boundary there?
  • How will the coast of California look in the
    future?

17
Portfolio for one pair of students selected for
typical performance.
18
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19
Activity 1 (contd) Explain your model.
20
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21
Activity 3 Pose A Question.
22
Activity 4 Earths Plates.
23
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24
Activity 5 The Mantle.
25
Activity 6 Students Evaluation and Critique of
the Learning Partners Models.
  • 2. Students Evaluation and Critique of the
    Learning Partners Models
  • Students read two pieces of text in WISE called
    What is a Scientific Model? And How to
    evaluate a model?
  • Students critique learning partners models using
    prompts in WISE. Prompts include
  • 1. Are the most important features in terms of
    what causes this geologic process depicted in
    this model?
  • 2. Would this model be useful to teach someone
    who had never studied this geologic process
    before?
  • 3. What important features are included in this
    model? Explain why you gave the model this
    rating.
  • 4. What do you think should be added to this
    model in order to make it better for someone who
    had never studied this geologic process before?
  • Prompts were designed to get students to reflect
    on what causal features should be included in the
    model and how useful the model was as a
    learning/communication tool.

26
W. Coast groups evaluation of E. coast groups
model
27
E. Coast groups revised model.
28
E. Coast groups revised explanation.
29
Notes on model revision.
30
Activity 8 What have we learned?
31
Part 1 Content Gain Results
  • The students from one class on the West coast
    were partnered with the students from two classes
    on the East coast because of the differences in
    class sizes. Five such sets or virtual
    classrooms (referred to as WISE periods) were
    created in WISE.
  • This is analysis of 360 students.
  • A significant pre-post gain was found in all five
    WISE classrooms for content gains.

32
WISE Period 1- sig. Content gains
33
WISE Period 2- sig. Content gains
34
WISE Period 3- sig. Content gains
35
WISE Period 4 - sig. Content gains
36
WISE Period 5 - sig. Content gains
37
Part 2 Epistemological Gain Results
  • A significant pre-post gain was found in all five
    WISE classrooms for epistemological gains.

38
WISE Period 1 - sig. Epistemological gains
39
WISE Period 2 - sig. Epistemological gains
40
WISE Period 3 - sig. Epistemological gains
41
WISE Period 4 - sig. Epistemological gains
42
WISE Period 5 - sig. Epistemological gains
43
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44
Comments on Example 1...
45
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46
Comments on Example 2..
47
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48
Comments on example 3.
49
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50
Comments on Example 4.
51
Conclusions
  • Opportunities for collaboration with very
    different sectors of the populations
  • Extends a current vein of progressive
    model-building in science education by having
    students critique each others models as a way to
    promote deep understanding.
  • In all modeling tasks (constructing models,
    learning from models, critiquing models, revising
    models, etc), we are scaffolding this using our
    model-based learning framework.
  • This, authentic science experience promotes both
    deep understanding of the content as well as
    promote a deep understanding of models in science
    and how they are used in science.
  • As such can significantly impact scientific
    literacy.

52
To found out more ...
  • To view the unit, go to wise.berkeley.edu, click
    on Member entrance, and for login enter TryA1
    and wise as your password. Click on Plate
    Tectonics Whats on Your Plate?
  • To find more information
  • E-mail jgobert_at_concord.org and get a copy of
    this paper.
  • Other papers are available on this work at
    mtv.concord.org
  • For more on The Concord Consortium contact
    www.concord.org.
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