q uestions, claims and evidence: teaching argumentation in the ngss through the use of a science...
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Q uestions, Claims and Evidence: Teaching Argumentation in the NGSS through the use of a Science Writing Heuristic. Brian Hand University of Iowa. Discussion format. Theoretical perspectives Randomized field trail results Classroom aspects. Next Generation Science Standards. - PowerPoint PPT PresentationTRANSCRIPT
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Questions, Claims and Evidence: Teaching Argumentation in the NGSS through the use of a Science Writing Heuristic
Brian HandUniversity of Iowa
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Discussion formatTheoretical perspectives
Randomized field trail results
Classroom aspects
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Next Generation Science Standards
Scientific and Engineering Practices1. Asking questions (for science) and defining problems (for engineering)2. Developing and using models3. Planning and carrying out investigations4. Analyzing and interpreting data5. Using mathematics and computational thinking6. Constructing explanations (for science) and designing solutions (for engineering)7. Engaging in argument from evidence8. Obtaining, evaluating, and communicating information
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ScienceThe advancement of science is about a process of construction and critique Scientist negotiate with each otherScientists do not advance science through information transfer
– if this was the case who gave the first scientists the information to pass on?
- who gives the current generation of scientist the “new” knowledge
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Science Argument
Is a central component of science
Requires participants to negotiate meaning both publicly and privately
Is bound by a structure linking questions, claims, evidence and rebuttals
Constructed knowledge is tested against nature
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Our working definition
Argument Based Inquiry is inquiry that is intended to build students grasp of scientific practices while motivating an understanding of disciplinary big ideas. Construction and critique of knowledge are centrally located through an emphasis on the epistemological frame of argument by engaging them in posing questions, gathering data, and generating claims supported by evidence.
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This perspective of argument builds on the work of Walton who suggests that argument is a logical contribution to the resolution of unsettled knowledge. This more general perspective on argument is valuable as it recognizes the use of argument as a learning tool; thus the immersion of students in argument throughout their inquiry.
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Douglas WaltonUniversity of Toronto
Argument Deals with unsettled knowledgeTrying to persuade others
Explanation Deals with settled knowledgeTo inform others
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Argument
Made up of questions, claims and evidenceWhat is a claim?What is evidence?What is the relationship between these elements?
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Connections
Question
Claims
Claims Eviden
ce
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ArgumentDeals with questions, claims and evidence
There must be connections between questions, claims and evidence
There has to be strong coherence between the various components
Arguments require reasoning – not something to be simply learned
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Critical Issues that need to be engaged with
We do not pay enough attention to ideas such as data, evidence, explanation
Researchers use such ideas – as published in articles
Data/evidenceClaims, evidence, reasoningEvidence and explanations
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Data and evidenceIs this distinction important?
Students have trouble separating these two
“Data does not speak”
We have to do something with data to get to evidence
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Evidence and ReasoningIf we have to do something to data to get evidence – what is it?
Critically we have to reason about the data – we have to make critical decision about
What data points to use?Are there patterns?
• If we remove reasoning from evidence we have data
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Relationship
Data Reasoning
Evidence
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Evidence and explanationSimply question – if evidence is not an explanation – what is it?
Is not evidence a reasoned explanation about particular data points and how they fit together?
All evidence is explanatory, but not all explanations are evidentiary
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Two essential components of science
Language - there is no science without language- means that we have have to pay attention to all the different discourses/representations associated with science
Argumentation - is a critical process that is central to the way in which science knowledge is constructed
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The Science Writing Heuristic approach is based on earlier Halliday work (70’s)
You learn about language while you learn through using language
Means that studentslearn about argument while they learn
through using argument
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Importance?These distinctions are not trivial
There is a distinctly different orientation to the learning of argument based inquiry
Is it something “done to” students or something students should “be immersed” in?
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The Science Writing Heuristic Templates
Teacher’s template
Exploration of pre-instruction understanding Pre-laboratory activitiesLaboratory activityNegotiation I - individual writingNegotiation II - group discussion Negotiation III - textbook and other resourcesNegotiation IV- individual writingExploration of post-instruction understanding
Student’s templateBeginning questions or ideas What are my questions about this experiment?Tests and ProceduresWhat will I do to help answer my questions?Observations What did I see when I completed my tests and procedure?ClaimsWhat can I claim?EvidenceWhat evidence do I have to support my claim? How do I know? Why am I making these claims?Reading How do my ideas compare with others?ReflectionHow have my ideas changed?
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Randomized Field TrialInvolves 48 grade 3-5 buildings in Iowa
24 treatment, 24 controlDivided into 5 clusters within the state
8 days of inservice – 5 in summer, 3 during the yearFollow up monitoring within school
Collection of teacher video – one per semester/yearCollection of Iowa Test of Basic Skills/Iowa Assessment dataImplementation of Cornell Critical Thinking test pre/post at grade 5 level
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Critical Thinking Improvement Scores Year 1
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Critical Thinking Improvement Scores Year 2
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Effect sizes for each cluster
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Transfer – what do we mean
Domain Specific Knowledge
DomainGeneralKnowledge
TransferArgument-based Inquiry
Cornell Critical Thinking Test
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Data Used The data used for the following analysis' are the
paired 3rd - 5th grade and paired 4th - 6th grade national standardized scores on the ITBS and Iowa Assessments for school year pairs 2006-07 with 2008-09, 2007-08 with 2009-10, 2008-09 with 2010-2011, and 2009-10 with 2011-12.
The data is paired by student The associated demographics are also used
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Equivalence of ITBS and Iowa Assessments
ITBS and Iowa Assessments share three sections that were taken by all schools in the study: Reading, Mathematics, and Science.
The Math I and Math II Scores from the ITBS relate with the Math Comprehension score from Iowa Assessments
For each combination of subject, grade, and year the National Standardized Scores were standardized. For the ITBS Math Scores they were added, then standardized
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Mixed Models For each of the four groups of students as
described previously, for each of the three test types (RC, M, and SC), mixed models were fit
The predicted value was the change in test score (DRC, DM, or DSC) Note: Scores standardized as previously mentioned
The base-level fixed effects were pretest score (RC, M, or SC), ASN, BLK, HSP, FRL, ELL, GAT (All students only), SED (similarly), and TRT
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Mixed Models Continued The interactions included in the models were TRT
with all the other fixed effects. The two random effects included in the modes
were UNIT (the unit for which treatment or control was assigned, usually a school building) and DIST (the block of units used to control variability in the assignment of treatment and control)
For each model non-significant variables were removed (t-score < 1.66 (relating p-value .1)) unless they were base fixed effects who had a significant interaction term or the TRT fixed effect.
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All Students - Reading DRC ~ RC + TRT + SEM + DSEM + ASN + BLK +
SED + GAT + FRL + ELL + (1|UNIT) + (1|DIST) Notes
TRT - Weak Positive (t = 1.66) No significant interactions
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All Students - Mathematics DM ~ M + TRT + DSEM + GEN + ASN + BLK +
HSP + SED + GAT + FRL + ELL + TRT:GEN + TRT:BLK + TRT:SED + TRT:GAT + TRT:FRL + TRT:ELL + (1|UNIT) + (1|DIST)
Notes TRT – Very Very Strong Positive (t = 11.23) TRT:GEN – Weak Negative (t = -2.03), TRT:BLK –
Weak Positive (t = 1.97), TRT:SED – Very Strong Positive (t = 3.44), TRT:GAT – Very Very Strong Negative (t = -7.34), and TRT:ELL – Weak Postive (t = 2.10)
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All Students - Science DSC ~ SC + TRT + DSEM + GEN + BLK + HSP +
SED + GAT + FRL + ELL + (1|UNIT) + (1|DIST) Notes
Not significant TRT No significant interactions
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All Students - Comments There is small evidence to support students do better with Reading
Comprehension in the Treatment group There is very strong evidence to support that students do better with
Mathematics in the Treatment group The female disadvantage is reduced with treatment The African American disadvantage is reduced with treatment The special education disadvantage is reduced with treatment The gifted and talented advantage is reduced with treatment The free and reduced lunch disadvantage is reduced with treatment English language learners in treatment are as well off as non-English
Language Learners in the Control group There is no evidence to support improvement is Science
Comprehension associated with Treatment
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Special Education Conclusions
There is no evidence to support that treatment leads to a change in Reading Comprehension
Males receive an advantage in Reading Comprehension with treatment
Free and reduced lunch students receive a further disadvantage with treatment
There is very strong evidence to support that treatment leads to an improvement in Mathematics
There is no evidence to support that treatment leads to a change in Science Comprehension
Free and reduced lunch students receive a further disadvantage with treatment
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Gifted and Talented Conclusions
There is no evidence of an effect of Treatment on Reading Comprehension
There is weak evidence to suggest a negative effect of Treatment on Mathematics
The female disadvantage is reduce in the treatment group to the point were a female in the treatment group is better off then in the control group
The free and reduced lunch disadvantage is reduced in the treatment group to the point where a FRL student in the treatment group is better off then in the control group
There is no evidence of an overall effect of Treatment on Science Comprehension
The Hispanic advantage almost disappears in the treatment group
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Traditional Conclusions No evidence of an overall effect of Treatment on Reading Comprehension
Treatment seems to decrease the Asian Advantage Treatment seems to decrease the free and reduced lunch
disadvantage There is strong evidence of an improvement of Mathematics scores
because of Treatment An African American in the treatment group has the same advantage
as a Caucasian in the control group An English Language Learner in the treatment group is better off then
a non-ELL in the control group A free and reduced lunch student in the treatment group is almost as
well off as a non-FRL in the control group No evidence of an overall effect of Treatment on Science Comprehension
The Asian advantage decreases with the Treatment group
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Classroom ConditionsHow well do teachers implement? Is there a difference between treatment and control?Do they have more science teaching in school?Is there a carry over to other subjects?Can we see a shift in how the classroom environment looks?Does this impact language events?
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Teacher Implementation ScoresYear 1
0 - .25 0.5 - 0.75 1 - 1.25 1.5 - 1.75 2 - 2.25 2.5 - 2.75 30
20
40
60
80
100
120
TRTCTRL
# o
f Vi
deos
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Number of lessons per week
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Minutes/science lesson
0-15 16-30 31-45 46-60 60+0
10
20
30
40
50
60
TRT PercentCTRL Percent
% t
each
ers
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Transfer of approach into other disciplines
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Classroom environment
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Teacher-student talk
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WritingDoes implementation matter?
Do we understand what is happening?
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Sources of meaning Complexity of Reasoning
Personal (Intuitive) Developing Single Reasoning
Single Reasoning
Developing Chain of Reasoning
Chain of Reasoning
Developing Reasoning Network
Reasoning Network
Fuzzy Understanding
Alternative Explanation
Comparing Ideas
Consolidating Ideas
Further Negotiation
Diagrammatic Representation
Contextualized/ Perception-based
CoherenceScientific (Reflective)
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Research funded by a grant from the US Department of Education through the Institute of Education Sciences, award number R305A090094-10.