Difference between revisions of "MS-ESS2-5"
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| + | {{Navlinks|MS-ESS3-1|MS-ESS2-6|← MS-ESS3-1|MS-ESS2-6 →}} | ||
{{learningstandard | {{learningstandard | ||
| + | | topic = Weather and Air Masses | ||
| + | | questions = no | ||
| ls = Collect data to provide evidence for how the motions and complex interactions of air masses results in changes in weather conditions. | | ls = Collect data to provide evidence for how the motions and complex interactions of air masses results in changes in weather conditions. | ||
| cs = Emphasis is on how air flows from regions of high pressure to low pressure, the complex interactions at air mass boundaries, and the movements of air masses affect weather (defined by temperature, pressure, humidity, precipitation, and wind at a fixed location and time). Emphasis is on how weather can be predicted within probabilistic ranges. Data can be provided to students (such as weather maps, diagrams, and visualizations) or obtained through laboratory experiments (such as with condensation). | | cs = Emphasis is on how air flows from regions of high pressure to low pressure, the complex interactions at air mass boundaries, and the movements of air masses affect weather (defined by temperature, pressure, humidity, precipitation, and wind at a fixed location and time). Emphasis is on how weather can be predicted within probabilistic ranges. Data can be provided to students (such as weather maps, diagrams, and visualizations) or obtained through laboratory experiments (such as with condensation). | ||
| ab = Assessment includes the application of weather data systems but does not include recalling the names of cloud types, weather symbols used on weather maps, the reported diagrams from weather stations, or the interrelationship of weather variables. | | ab = Assessment includes the application of weather data systems but does not include recalling the names of cloud types, weather symbols used on weather maps, the reported diagrams from weather stations, or the interrelationship of weather variables. | ||
| + | }} | ||
| + | |||
| + | == {{Assessmentheading}} == | ||
| + | {{assessmentmessage|questions=no}} | ||
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| + | {{expandthissection2}} <!-- Remove this after this section has been expanded upon --> | ||
| + | |||
| + | == Vocabulary == | ||
| + | Terms from the [[Middle School Science Glossary]] that come from this standard or from the released Grade 8 Science Test questions that assess it. | ||
| + | |||
| + | <div class="vocab-subhead">From this standard</div> | ||
| + | <div class="vocab-list" style="column-width:14em;"> | ||
| + | * air mass | ||
| + | * air mass boundary | ||
| + | * climate | ||
| + | * cloud | ||
| + | * cloud type | ||
| + | * collect data | ||
| + | * condensation | ||
| + | * data | ||
| + | * evidence | ||
| + | * high pressure | ||
| + | * humidity | ||
| + | * interaction of air masses | ||
| + | * landform | ||
| + | * local weather pattern | ||
| + | * low pressure | ||
| + | * motion of air masses | ||
| + | * ocean current | ||
| + | * ocean temperature | ||
| + | * precipitation | ||
| + | * pressure | ||
| + | * probabilistic | ||
| + | * probability | ||
| + | * temperature | ||
| + | * visualization | ||
| + | * weather | ||
| + | * weather condition | ||
| + | * weather data | ||
| + | * weather forecast | ||
| + | * weather map | ||
| + | * weather station | ||
| + | * weather symbol | ||
| + | * weather variable | ||
| + | * wind | ||
| + | </div> | ||
| + | |||
| + | <div class="vocab-subhead">Implied by this standard</div> | ||
| + | <div class="vocab-list"> | ||
| + | * front (weather front) – implied by "the complex interactions at air mass boundaries" | ||
| + | </div> | ||
| + | |||
| + | {{PerformanceLevelMS}} | ||
| + | {{PLTable | ||
| + | | Level4 = Collect data from multiple sources to provide evidence for how motions and complex interactions of different air masses, and the interrelationship of weather variables, results in different changes in weather conditions. | ||
| + | | Level3 = Collect data to provide evidence for how the motions and complex interactions of air masses results in changes in weather conditions. | ||
| + | | Level2 = Given data, identify the evidence for how the motions or interactions of complex air masses results in changes to a weather condition. | ||
| + | | Level1 = Given data and the motions or interactions of air masses, identify a resulting change in weather conditions. | ||
}} | }} | ||
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| − | | SEP1 = | + | | SEP1 = Cause and Effect |
| − | | DCI1 = | + | * Cause and effect relationships may be used to predict phenomena in natural or designed systems. |
| − | | CC1 = | + | | DCI1 = ESS2.C: The Roles of Water in Earth's Surface Processes |
| + | * The complex patterns of the changes and the movement of water in the atmosphere, determined by winds, landforms, and ocean temperatures and currents, are major determinants of local weather patterns. | ||
| + | | DCI2 = ESS2.D: Weather and Climate | ||
| + | * Because these patterns are so complex, weather can only be predicted probabilistically. | ||
| + | | CC1 = Planning and Carrying Out Investigations | ||
| + | * Collect data to produce data to serve as the basis for evidence to answer scientific questions or test design solutions under a range of conditions. | ||
}} | }} | ||
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== {{Connectionsheading}} == | == {{Connectionsheading}} == | ||
{{connectionsmessage}} | {{connectionsmessage}} | ||
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| MATH1 = | | MATH1 = | ||
}} | }} | ||
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{{Pagecontributors}} | {{Pagecontributors}} | ||
{{Bottomnav | {{Bottomnav | ||
| − | | SUBJECT = [[ | + | | SUBJECT = [[MS]] |
| TOPIC = MS. Weather and Climate | | TOPIC = MS. Weather and Climate | ||
}} | }} | ||
Latest revision as of 09:55, 17 October 2026
Collect data to provide evidence for how the motions and complex interactions of air masses results in changes in weather conditions.
Clarification statement: Emphasis is on how air flows from regions of high pressure to low pressure, the complex interactions at air mass boundaries, and the movements of air masses affect weather (defined by temperature, pressure, humidity, precipitation, and wind at a fixed location and time). Emphasis is on how weather can be predicted within probabilistic ranges. Data can be provided to students (such as weather maps, diagrams, and visualizations) or obtained through laboratory experiments (such as with condensation).
Assessment boundary: Assessment includes the application of weather data systems but does not include recalling the names of cloud types, weather symbols used on weather maps, the reported diagrams from weather stations, or the interrelationship of weather variables.
Grade 8 Science Test Questions
No released Grade 8 science test questions for MS-ESS2-5 have been added to the wiki yet.
Vocabulary
Terms from the Middle School Science Glossary that come from this standard or from the released Grade 8 Science Test questions that assess it.
- air mass
- air mass boundary
- climate
- cloud
- cloud type
- collect data
- condensation
- data
- evidence
- high pressure
- humidity
- interaction of air masses
- landform
- local weather pattern
- low pressure
- motion of air masses
- ocean current
- ocean temperature
- precipitation
- pressure
- probabilistic
- probability
- temperature
- visualization
- weather
- weather condition
- weather data
- weather forecast
- weather map
- weather station
- weather symbol
- weather variable
- wind
- front (weather front) – implied by "the complex interactions at air mass boundaries"
Performance Level Descriptions
Every Grade 8 Science Test question on MS-ESS2-5 is written to match one of the performance level descriptions (PLDs) below.
Resources
Examples and discussion of resources for the learning, teaching, and assessment of MS-ESS2-5.
NGSS Dimensions
Performance expectation MS-ESS2-5 was developed using the following elements from the NRC document A Framework for K-12 Science Education:
- Cause and Effect
- Cause and effect relationships may be used to predict phenomena in natural or designed systems.
- ESS2.C: The Roles of Water in Earth's Surface Processes
- The complex patterns of the changes and the movement of water in the atmosphere, determined by winds, landforms, and ocean temperatures and currents, are major determinants of local weather patterns.
- ESS2.D: Weather and Climate
- Because these patterns are so complex, weather can only be predicted probabilistically.
- Planning and Carrying Out Investigations
- Collect data to produce data to serve as the basis for evidence to answer scientific questions or test design solutions under a range of conditions.