Title: Understanding the Greenhouse Effect Using a Computer Model
1Understanding the Greenhouse Effect Using a
Computer Model
- Lisa Schultz
- July 30, 2009
2Agenda
- Introduction
- Research Questions
- Literature Review
- Settings Participants
- Research Methods
- Results Discussion
- Conclusions Suggestions
3Introduction
- Motivating factors for investigating computer
models in the classroom - IDEAS (Inquiry-based Dynamic Earth Applications
of Supercomputing) - NSF funded ITEST program
- Purpose is to help teachers to use models in the
classroom to teach about climate systems and
unifying themes. - NetLogo Climate Change model and Greenhouse
Effect model
4NetLogo Greenhouse Effect Model
5Research Questions
- Did students gain a better understanding of
system relationships pertaining to the greenhouse
effect after using the model? - To what extent were students' misconceptions and
difficulties congruent with previous research? - Are concept maps an effective assessment tool for
measuring student understanding and detecting
misconceptions?
6Literature Review
- What do students understand about the greenhouse
effect? - To what extent have computer models been shown to
be effective learning tools? - How have concept maps been used for educational
research?
7Greenhouse Effect
- What do students understand about the greenhouse
effect? - Do not distinguish between sunlight and infrared
energy - Deterioration of ozone hole causes global warming
- Unclear about the difference between the natural
greenhouse effect and the enhanced greenhouse
effect.
8Computer Models
- To what extent have computer models been shown to
be effective learning tools? - Improve students abilities to explain abstract
phenomena - NetLogo Agent vs. aggregate behaviors
- Open-source modeling software
- Students can have control over the model
- Studies included models within other learning
activities (Ex. Predict Observe Explain )
9Concept Maps
- How have concept maps been used for educational
research? - Show conceptual understanding of system
relationships with propositional phrases - Shown to reveal changes in student understanding
over time - Difficulties with using as an assessment tool
- Students are unfamiliar with concept maps
- Scoring inter-reliability
Linking term
10- Example of an Expert GHE Concept Map
11- Example of an Expert GHE Concept Map
12Setting Participants
- Study conducted in two Maine middle-school
classrooms, Spring 2009 (n 147) - 7th grade n 136, 8th grade n 11
- Indicates advanced class
- Indicates 8th grade class
13Research Methods
- Pre-Test
- 15 minutes
- (a) Concept Maps, (b) Free-Response question, and
(c) Multiple-Choice questions - Exploring the model
- 20 minutes
- Post-Test
- Identical to Pre-Test
14Research Methods
- 1. Pre-Test
- Concept Maps
- Introduction to concept maps for School A
students - Concept Map Instructions
- Create a concept map that shows how the Earth's
greenhouse effect works and how the greenhouse
effect influences the Earth's temperature. - Mandatory word bank Sunlight, CO2, Infrared
Light, Earth, Earths temperature. - Optional word bank Sun, Atmosphere, Greenhouse
gases, Clouds, Heat Energy, Outer Space, Earths
surface
15Research Methods
- 1. Pre-Test
- Free-Response Question
- Explain in words how the Earth's greenhouse
effect works.
16Research Methods
- 1. Pre-Test
- Multiple-Choice Questions
- Four questions from Greenhouse Concept Inventory
(Keller, 2006) Schools A B - One question added to detect misconception about
behavior of sunlight with CO2 School B only
17Example Multiple-Choice Question
- If human civilization had never developed on
Earth, would there be a greenhouse effect? - Yes, the greenhouse effect is caused by naturally
occurring gases in the atmosphere. - Yes, the greenhouse effect is caused by plants
giving off gases during photosynthesis. - No, the greenhouse effect is caused by humans
burning fossil fuels and releasing pollutants. - No, the greenhouse effect is caused by humans
depleting the ozone layer in the atmosphere. - No, there is no conclusive evidence that a
greenhouse effect exists.
18Research Methods
- Exploring the Model
- Approximately 20 minutes
- Guiding Instructions
- Use the model to determine how each of the
variables affect the Earth's temperature. - Determine how and why these variables affect the
Earth's temperature. - Post-Test
- (4 Interviews with students from School A)
19Analysis
- Scoring concept maps free-response question
- Presence of propositional phrases
- Based on expert concept map, the model, and
student responses - Phrases weighted to focus on quality of the
response - Recorded misconceptions
20Examples of scored propositional phrases
21Misconceptions
Misconceptions recorded from concept maps and
free-response questions
22Example of scored student concept map
7th grade students post concept map (above
average)
- S1 Sunlight can be absorbed into Earths surface
(1 pt) - C6 CO2 is a gas in the atmosphere (1 pt).
- I1 IR energy is radiated from Earths surface (5
pts) - I4 IR energy affects the Earths temperature (1
pt) - R1 Surface reflection affects the amount of
sunlight and/or IR energy absorbed into Earths
surface (5 pts) - Total 13 pts
23Example of a scored student free-response question
7th grade students post free-response answer
(above average)
- S1 Sunlight can be absorbed into Earths surface
(1 pt) - C3 CO2 reflects and/or absorbs IR energy (5
pts) - I1 IR energy is radiated from Earths surface (5
pts) - R1 Surface reflection affects the amount of
sunlight and/or IR energy absorbed into Earths
surface (5 pts) - Total 16 pts
24Analysis
- Scoring inter-reliability
- Sub-sample of pre- and post-concept maps and
free-response questions were scored by two MST
graduate students. - No statistically significant differences were
found between mean scores for each test - paired two-tailed t-test with a confidence level
of 95
25Analysis
- Scoring Multiple-Choice questions
- Point for each correct answer
- Sum of points gave total score
- Only analyzed gains in Questions 2 5 since
School A did not answer Question 6 - Recorded frequency of responses to analyze
changes in students understanding
26Results Discussion
- Pre- and post-test analyses (Research question I)
- Equivalence between groups
- Pre- to post-test mean scores
- Normalized gains
27Results Discussion
- Pre- and post-test analyses (Research question 1)
- Equivalence between groups
- Pre- to post-test mean scores
- Normalized gains
- Frequency of responses
- Frequency of Misconceptions (Research question 2)
- Correlation between concept map and free-response
scores (Research question 3)
28Results Discussion
- Pre- and Post-Test Analyses
- Equivalence between groups
- Analysis of variance (a 0.05)
29Results Discussion
- How did students understanding change after
exploring the model? - Paired one-tailed t-tests to compare pre- to
post-test mean scores (a 0.05) indicates
significant result
Max concept map and free-response score 48
Max multiple choice score 4
30Results Discussion
- How did students understanding change after
exploring the model? - Paired one-tailed t-tests to compare pre- to
post-test mean scores (a 0.05) indicates
significant result
Max concept map and free-response score 48
Max multiple choice score 4
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33Results Discussion
- Normalized gain ltggt
- Independent one-tailed t-test to determine if
mean ltggt was significantly greater than zero (a
0.05)
34Results Discussion
- Students test scores increased, but what did
they learn? - Frequency of students responses for each
assessment
35Results Discussion
- Greatest increases in propositional phrases from
pre- to post-test (n 147)
36Results Discussion
- Change in multiple-choice responses from pre- to
post-test
37Results Discussion
- To what extent were students' misconceptions and
difficulties congruent with previous research? - Frequency of misconceptions detected in
free-response questions and concept maps - Frequency of misconception distracters in
multiple-choice questions
382 (a) Concept Map Free-Response Misconceptions
392 (b) Multiple-Choice Questions Misconceptions
402 (b) Multiple-Choice Questions Misconceptions
412 (b) Multiple-Choice Questions Misconceptions
422 (b) Multiple-Choice Questions Misconceptions
432 (b) Multiple-Choice Questions Misconceptions
44Results Discussion
- Are concept maps an effective assessment tool for
measuring student understanding and detecting
misconceptions? - Pearsons coefficient
- Test scores and frequency of responses
453(a) Correlation between Pre-Concept Maps and
Free-Response Questions
463(a) Correlation between Post-Concept Maps and
Free-Response Questions
47Results Discussion
- 3(b) Test Scores and Frequency of Responses
- No significant difference between mean pre-test
scores between CMs and FRs. - Significant difference between mean post-test
scores between CMs and FRs. - Free-response question detected 74 of
misconceptions. Concept maps detected 26.
48Conclusions Suggestions
- Middle-school students had gains in understanding
about how the GHE influences the Earths
temperature after exploring the model for 20
minutes. - IR energy is radiated from the Earth.
- Earths temperature increases when sunlight is
absorbed into the surface. - Increasing CO2 in the atmosphere increases the
Earths surface temperature. - Students held on to their misconceptions from the
pre- to post-test.
49Conclusions Suggestions
- The model may be more effective within a guided
inquiry activity. - Predict, observe, explain
- Forum for students to ask questions about
behaviors Why does the IR energy get reflected
by CO2 and not sunlight? - Confront misconceptions
- Critically analyze model
- Benefits and limitations
- Opportunities to modify the model
50Conclusions Suggestions
- Concept maps should be investigated further to
determine if they are effective educational
research assessment tools. - Different grade levels
- More practice at making concept maps
- Better as a learning tool?
51Thank you