Understanding the Science MSP Mark Watrin Science Coordinator ESD112.
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Transcript of Understanding the Science MSP Mark Watrin Science Coordinator ESD112.
Understanding the Science MSP
Mark WatrinScience Coordinator
ESD112
Inquiry
Not the Purpose Purpose
Help Teachers Understand the
Science MSP
–Systems
– Inquiry
–Application
• Debate testing in general
• Give you all the right answers
(not possible)
• Represent OSPI
Science MSP Test and Item Specifications
http://www.k12.wa.us/Science/TestItemSpec.aspx
Science Assessment Update
2009 Inquiry
18%
24%56%
2%
% 5th Grade
2 points 1point0 point NA
31%
35%
31%
3%
% 8th Grade
2 points 1 point0 point NA
Time for Questions
If you don’t get a word in edgewise.
Type your question into the question
box.
Preconceptions :Three – Two - One
• Three Inquiry Standards that will be answered as a two point questions
• Two Inquiry standards that will be only Multiple Choice
• One inquiry standard that will not be tested
Inquiry?
• Ask Questions• Plan Investigations• Collect Data• Repeat for reliability• Understand Models• Emphasize Evidence• Communicate results• Be honest
2 point possibilities• Plan an investigation
• Understand models• Evidence for Conclusion• Evidence for
Explanations
StandardsMSP EOC Bio
4 Parts
• Design a controlled experiment
• Design a Field Investigation
• Write a Conclusion
• Understanding Models
Plan an InvestigationControlled Experiment
Field Study
+Controlled Variable
Test and Ite
m
Specifications
8th Grade “Update” document
2010 “Changes
Documents”
Controlled Variables are inferred in 5th grade
5th
8th
High School Inquiry
Design Investigations
Field Studies
Conclusions
Validity &Reliability
Inconsistencies
Evaluate Reliability
Test
& Item
Specifi
cations
Test
& Item
Specifi
cations
Example of Logical Steps
8th Grade Design an Investigation
Interpret a Scenario
Interpret a data table
1 controlled variable
How did that Plant Get There?Interpret Scenarios
Analyze Data Tables
2 controlled variables
Extra Validity Measure
Inquiry GuideAttribute Points• Logical Steps• Manipulated Variable• Responding Variable• Record Data• Multiple Trials
• 8th + 1 controlled variable
• 10th + 2 controls• + extra validity
Inquiry in Your Science Kit
• Animal Runways
• Flood
• Yeast & Vitamin C
• Melting Matter
Pause Part 1
Field Investigation – NEW ITEMAttributes
• Logical Steps
• Method of data collection
• 2 Conditions compared
• Collect & Record Data• How often data is collected
• Multiple trials of data collection
New Item: No
Examples AvailableTest
& Item
Specifi
cations
page 12 &
13
Comparison Opportunities• Animals 2x2/organisms• New Plants• Insects• Air and Weather/Weather• Human Body• Environments/Ecosystems• Diversity of Life
• Goldfish & Guppies• Rye grass & oats• Mealworms & wax worms• Weather conditions• Owl pellets• Terrariums & Aquariums• Pond water organisms
Pause Part 2
In Conclusion(1)Conclusive statement
(2)Supporting data: reported data are the lowest and highest conditions
(1)Explanatory language, connect or compare the supporting data to the conclusive statement
2012 Update Documents
3 or 4 = 2
Conclusive Statement
High DataLow Data
Explanatory Language
How well do students write conclusions?
High data
Low data
scored 2 points
What can you conclude about writing conclusions?
Conclusive statement 42%
Explanatory Language 22.6%
0.6 out of 2 is the mean score
Students score 20% lower on explanatory language
Conclusive statements are credited 42%Explanatory language is credited only 22.6%
Teachers should help students understand “explanatory” language” which is the lowest scoring attribute in writing conclusions at 22.6%.
Pause Part 3
“But wait, there’s more!”
Cognitive Difficulty
Models
Model Guide
Example
• What real object is this a model showing?
• What is accurate about the model
• What is inaccurate about the model?
Models in your science kits
• Carts
• Stream Table
• Day & Night • Moon Craters
9-12 Reliability & Validity
Reliability: An attribute of any investigation that promotes consistency of results during repeated trials.
Validity: An attribute of an investigation that describes the degree of confidence that data collected and logical inferences are accurate representations of the phenomena being investigated.
Pause Part 4