Title: Assessing Science Learning in 3 Part Harmony
1Assessing Science Learning in 3 Part Harmony
- Richard Duschl
- GSE-Rutgers University
- rduschl_at_rci.rutgers.edu
2Performances - Practices
- Piano
- Finger/hand strength and flexibility
- Read muscial notation
- Musical phrasing, playing with feeling
- Creative musicality
- Science
- Building conceptual claims, meanings
- Evaluating conceptual claims, meaning
- Seeking evidence
- Seeking explanations
- Communicating
3NAEP 2009 Science Framework
- Identifying scientific principles (30)
- Using scientific principles (35)
- Using scientific inquiry (25)
- Using technological design (10)
- portion of test
43 Ps
Psychology - Learning Cognitive Science,
Information-processing, Social psychology,
Activity theory Philosophy - Knowledge Epistemolog
y Science Studies Models, Argumentation
(ETHICS) Pedagogy - Teaching Inquiry Learning
Problem-based Learning Community of Learners
Model-based Learning Design Principles,
Preparation for Future Learning
5Nature of Science
- Science is about testing hypotheses and reasoning
deductively from experiments - Hypothetico/Deductive Science
- Science is Theory building and revision
- Contexts of Generation and Justification
- Science is Model building and revision
- Models stand between Experiment and Theory
6History of Thinking about Human Mind
- Differential Perspective
- Individual, Mental Tests separate from academic
learning - selecting and sorting - Behavioral Perspective
- Stimulus/Response Associations - rewarding and
punishing - Cognitive Perspective
- Prior Knowledge, expert/novice, metacognition
(thinking about thinking and knowning) - Situative Perspective
- Sociocultural, language, tools, discourse
7Psychology Education
Structured Knowledge Prior Knowledge
Metacognition Procedural Knowledge in
Meaningful Contexts Social participation and
cognition Holistic Situation for Learning Make
Thinking Overt (Glaser, 1994)
8Types of Knowledge
- Declarative (what)
- Procedural (how)
- Schematic (why)
- Strategic (where, when)
- Conceptual, Epistemic, Communicative or Social
- Blooms Taxonomy
- Knowledge, comprehension, application, analysis,
synthesis, evaluation
9National Science Education Standards Content
Domains
- Big Cs
- Life Science
- Physical Science
- Earth/Space Science
- Inquiry
- Little Cs
- Unifying Principles Themes
- Science Technology
- Science in Personal Social Contexts
- Nature of Science
10Standards Benchmarks
11Learning How to Learn
- Joe Novak
- Concept Mapping Gowins Vee
- Lauren Resnick
- Prior Knowledge
- Capacity to Learn is Limited
- Expertise - use of heuristics
12Creating Epistemic Communities in Classrooms
Project SEPIA (Science Education through
Portfolio Instruction and Assessment) Pittsburgh-
Drew Gitomer, Leona Schauble Schools for Thought
(SFT) Knowledge Forum/CSILE (Computer Supported
Intensive Learning Environment) Vanderbilt -
Susan Goldman, John Bransford, Jim Pelligrino,
Susan Williams, Kirsten Ellenbogen Argumentation
Dialogic Discourse Kings College London -
Jonathan Osborne, Sibel Erduran, Kirsten
Ellenbogen Rutgers - Clark Chinn, Cindy
Hmelo-Silver, Rochel Gelman.
13Project SEPIA - Portfolio Assessment Culture -
NSF
Designing Lesson Sequences and Learning
Environments that support conversations among
learners and, in turn, create opportunities
for 1) Making Students Thinking Visible 2)
Evidence/Explanation Continuum 3) Mediation and
Formative Assessments in 3 Domains
143 Part Harmony
- Conceptual what we need to know
- Epistemic rules for deciding what counts
- Social communicating representing ideas,
evidence and explanations
15Project SEPIA - Portfolio Assessment Culture
Designing Lesson Sequences and Learning
Environments that support conversations among
learners and, in turn, create opportunities
for 1) Making Students Thinking Visible 2)
Evidence/Explanation Continuum 3) Mediation and
Formative Assessments in 3 Domains conceptual
what we need to know epistemic rules for
deciding what counts social communicating and
representing ideas, evidence and explanations
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17Learning ProgressionsLearning Performances
18NRC (2006) Systems for State Science Assessments
- In response to the No Child Left Behind Act of
2001 (NCLB), Systems for State Science Assessment
explores the ideas and tools that are needed to
assess science learning at the state level. This
book provides a detailed examination of K-12
science assessment looking specifically at what
should be measured and how to measure it.
19NAEP 2009 Science Framework
- http//www.nagb.org/
- A learning progression is a sequence of
successively more complex ways of reasoning about
a set of ideas.
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21National Science Education Standards Content
Domains
- Big Cs
- Life Science
- Physical Science
- Earth/Space Science
- Inquiry
- Little Cs
- Unifying Principles Themes
- Science Technology
- Science in Personal Social Contexts
- Nature of Science
22Assessment Triangle3 Part Harmony
- Observation
Interpretation - Cognition
- C theory of how Ss learn the topic
- O tasks that elicit relevant Ss
knowledge/skills - I Classroom assessment - less formal
interpretation by the teacher
23Learning Goals
- What we know
- How we have come to know it
- Why we believe it over alternatives
24Creating Epistemic Knowledge Building
Communities in Classrooms
Project SEPIA (Science Education through
Portfolio Instruction and Assessment) Pittsburgh-
Drew Gitomer, Leona Schauble Schools for Thought
(SFT) Knowledge Forum/CSILE (Computer Supported
Intensive Learning Environment) Vanderbilt -
Susan Goldman, John Bransford, Jim Pelligrino,
Susan Williams, Kirsten Ellenbogen Argumentation
Dialogic Discourse Kings College London -
Jonathan Osborne, Sibel Erduran, Kirsten
Ellenbogen Rutgers - Clark Chinn, Cindy
Hmelo-Silver, Rochel Gelman.
25Why Things Sink Float
- Density LP - Floating Straws
- Relative Density
- Density
- Mass
- Volume
- Forces LP - Floating Vessels
- Flotation
- Buoyancy
- Pressure
- Mass
- Surface Area
- Volume
- Displacement
26Conceptual vs. Epistemic Goals
- Misconception
- Structured Problem
- Control of Variables
- Productive Misconceptions
- Unconventional Feature
- Off Target
- Causal Explanation
- Ill structured problem
- Design Application
- Modeling
- Forecast Items
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28Affordances for Future Learning
- Knowledge in Use
- Density - continental drift, ocean currents
- Forces - carrying capacity/displacement
- Inquiry
- Density - separation of liquids
- Forces - water pressure and neutral buoyancy
- Design
- Density - test of Crown Jewels - Eureka!
- Forces - retrieval of sunken ships
29Nature of ExplanationsLanguage of Science
- Principled
- Relational
- Unclear Relational
- Experiential
- Inadequate Explanation
- Off Target
- Evidence-Explanation
- Patterns in Evidence
- Explanatory Theory
- Balance of Forces
- Stronger Hands
- More Hands
30Affordances
- Making Thinking visible
- Teacher Assessments of Conceptual, Epistemic,
Social Goals - Identification of Productive Misconceptions
- Dialogic Discourse
- Measures/Observations-Data-Evidence-Models-Theory
- Data-Warrant-Backing-Rebuttal-Qualifier-Conclusion
- Images for Nature of Science
- Science as Experiments as Theory-building as
Model-building - Preparation for Future Learning
31Probing Understandings (White Gunstone, 1990)
- Concept Maps
- Interviews about Instances
- Interviews about Concepts
- Fortune Lines
- Drawings
- Storyboards
32Scaffolding and Assessing Argumentation Processes
in Science
Kings College London/American School in
London Collaborator Kirsten Ellenbogen NSF via a
seed grant from CILT (Center for Innovations in
Learning Technology).
33EHH Activity Sequence
Intro Unit and Lab 1 Conduct prelab including
demonstration of STEP test and taking a pulse.
Students collect data Lab 1 2. Data Collection
for Labs 2 and 3 Lab 2 - Activity Level and Heart
Rate Lab 3 - Weight and Heart Rate 3. Data
Analysis for Labs 2 and 3 Knowledge Forum
Activity What Matters in Getting Good
Data Determining Trends and Patterns of
Data Developing and Evaluating Explanations for
the Patterns of Data 4. Evaluating Exercise
Programs
34Exercise for a Healthy Heart
Agree/Disagree with the following statements and
provide a reason It matters where you take a
pulse Wrist, neck, thigh It matters how long you
take a resting pulse (6-10-15-60 seconds) It
matters how long you take an exercising pulse
(6-10-15-60 seconds) It matters who takes a
pulse
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37Group Decision Rules
1 - Frequency 2 - Majority 3 - Average 4 -
Endpoints 5 - Calculation
38Balancing Learning Outcomes
39Pathways - Historical Steps
- Rochel Gelman Kim Brennenman - Pathsways for
Learning -PreK - Observe
- Measure
- Write
- Lehrer Schauble 5th-8th grades
- Variation
- Distribution
- Growth Mechanisms
- Adaptive Selection
- Evolution
40Implications of Research on Childrens Learning
for Standards and Assessment A Proposed Learning
Progression for Matter and the Atomic Molecular
Theory
- Carol Smith, Marianne Weiser, Charles Anderson
Joe Krajcik (2006)
41Matter and material kinds.
- Existence and diversity of material kinds
Objects are made of specific materials. There are
different kinds of materials. The same kind of
object can be made of different materials. - Object properties Objects have certain
propertiesweight, length, area, and volume--that
can be described, compared and measured. - Properties of materials The properties of
materials can be described and classified.
42Conservation and transformation of matter and
material kinds.
- Conservation of matter There are some
transformations (e.g., reshaping, breaking into
pieces) where the amount of stuff and weight are
conserved despite changes in perceptual
appearance. - Conservation and transformation of materials
Material kind stays the same when objects are
reshaped or broken into small pieces. Freezing
and melting change some properties of materials
but not others.
43Epistemology
- Measurement Measurement involves comparison.
Good measures use iterations of a fixed unit
(including fractional parts of that unit) to
cover the measured space completely (i.e., no
gaps). They are more reliable than common sense
impressions. - Models Some properties of objects can be
analyzed as the sum of component units. (Students
are involved with the implicit modeling of
extensive quantities through the creation of
measures.) - Argument Ideas can be evaluated through
observation and measurement.
44Complementary Big Ideas
- 3. Epistemology We can learn about the world
through measurement, modeling, and argument. - 3AM. Epistemology of the atomic-molecular theory
Atoms are too small to see directly with tools
available in classrooms. The properties of and
changes in atoms and molecules have to be
distinguished from the macroscopic properties and
phenomena for which they account. We learn about
the properties of atoms and molecules indirectly,
using hypothetico-deductive reasoning.
45Observation-Evidence
- There exists a continuum of what counts as
scientific data, and subsequently what counts as
scientific evidence. From initial sense-based
descriptive observations, to tool assisted
measurement observations, and to theory-driven
instrument based observations. The latter most
sophisticated level underscores the
revision-based and theory-laden nature of
science.
46Evidence-based Argumentation
- There exists a continuum regarding the use of
evidence to support and refute scientific claims,
and the structure and practice of argumentation
(language of argumentation and role of
consensus). Initial arguments feature a simple
single claim-evidence structure, with learning
arguments develop to include counter claims and
counterevidence with attention to resolving
alternative explanation and informing theory.
47Theory-building
- There exists a continuum of sophistication
regarding the use of evidence and explanations to
develop, refine and modify scientific theories.
Initially students may not discriminate between
evidence and theory. With engagement and learning
opportunities students can refine and deepen
their understanding and practices of the
relationships between evidence and explanations.
Sophisticated images of the nature of science
conceptualize theories as robust explanatory
schemes comprised of multiple models, models that
stand between evidence and explanation.
48Essential Features of Classroom Inquiry
Learners are engaged by scientific
questions Learners give priority to evidence, to
develop evaluate explanation to address the
questions Learners formulate explanations Learners
evaluate explanations against alternative
explanations Learners communicate and justify
explanations. (National Research Council, 2000)
49Inquiry Based Learning
- Deciding the Content
- Aims Goals
- Conceptual
- Facts, Principles, Laws Theories
- Epistemic
- Explanations, Models, Arguments
- Social
- Representations, Communications
- Deciding the Context
- School Science
- Real World Science
- Environment
- Social Issues
- Museum/Science Centre Science
50Learning as InquiryConnelly, et al (1977)
Scientific enquiry and the teaching of science.
OISE Press.
- To develop an understanding of the most important
content - To develop an understanding of the parts of a
pattern of inquiry - To develop the reading skills and habits of mind
to identify and understand knowledge claims - To develop the evaluative skills and habits of
mind to assess the status of knowledge claims
51Teaching as Inquiry
- Identify the degree of legitimate doubt attached
to science knowledge - Assist in providing opportunities to deduce
patterns and to develop intellectual capacity to
inform oneself - Employ a strategy of teaching that allows for
discovery, focuses on the central role of
discussion, and promotes effective argumentation.
52Additional Features of Classroom Inquiry
- Learners respond to criticisms from others
- Learners formulate appropriate criticism of
others - Learners engage in criticism of their own
explanations - Learners reflect on alternative explanations and
not on having a unique resolution (Duschl
Grandy, in press)
533 Part Harmony
- Conceptual Goals
- Epistemic Goals
- Social Goals
54Thank You
- and
- Welcome to the Assessment Staircase