Difference between revisions of "MS-ESS3-2"
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| + | | topic = Natural Hazards | ||
| ls = Analyze and interpret data on natural hazards to forecast future catastrophic events and inform the | | ls = Analyze and interpret data on natural hazards to forecast future catastrophic events and inform the | ||
development of technologies to mitigate their effects. | development of technologies to mitigate their effects. | ||
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! style="padding: 0.5em 1.5em;" | Question | ! style="padding: 0.5em 1.5em;" | Question | ||
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| − | | rowspan="2" style="background-color:white;" | [[Spring 2025 Grade 8 Science Test|Spring 2025]] | + | | rowspan="2" style="background-color:white;" | [[Spring 2025 Grade 8 Science Test|Spring 2025 Grade 8 Test]] |
| style="background-color:white;" | [[Questions:Mount Lyell and the Lyell Glacier|Mount Lyell and the Lyell Glacier]] | | style="background-color:white;" | [[Questions:Mount Lyell and the Lyell Glacier|Mount Lyell and the Lyell Glacier]] | ||
| style="background-color:white;" | [[Questions:Mount Lyell and the Lyell Glacier#q4|Question 9]] | | style="background-color:white;" | [[Questions:Mount Lyell and the Lyell Glacier#q4|Question 9]] | ||
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| style="background-color:white;" | [[Questions:The Lake Erie Ecosystem#q3|Question 12]] | | style="background-color:white;" | [[Questions:The Lake Erie Ecosystem#q3|Question 12]] | ||
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| − | | rowspan="4" style="background-color:white;" | [[Spring 2024 Grade 8 Science Test|Spring 2024]] | + | | rowspan="4" style="background-color:white;" | [[Spring 2024 Grade 8 Science Test|Spring 2024 Grade 8 Test]] |
| style="background-color:white;" | [[Questions:Reservoirs and Town Water Districts|Reservoirs and Town Water Districts]] | | style="background-color:white;" | [[Questions:Reservoirs and Town Water Districts|Reservoirs and Town Water Districts]] | ||
| style="background-color:white;" | [[Questions:Reservoirs and Town Water Districts#q4|Question 20]] | | style="background-color:white;" | [[Questions:Reservoirs and Town Water Districts#q4|Question 20]] | ||
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| TOPIC = MS. Human Impacts | | TOPIC = MS. Human Impacts | ||
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Revision as of 13:03, 13 October 2026
Analyze and interpret data on natural hazards to forecast future catastrophic events and inform the development of technologies to mitigate their effects.
Clarification statement: Emphasis is on how some natural hazards, such as volcanic eruptions and severe weather, are preceded by phenomena that allow for reliable predictions, but others, such as earthquakes, occur suddenly and with no notice, and thus are not yet predictable. Examples of natural hazards could include those resulting from interior processes (such as earthquakes and volcanic eruptions) and surface processes (such as mass wasting and tsunamis), or from severe weather events (such as blizzards, hurricanes, tornadoes, floods, and droughts). Examples of data could include the locations, magnitudes, and frequencies of the natural hazards. Examples of technologies could include global technologies (such as satellite images to monitor hurricanes or forest fires) or local technologies (such as building basements in tornado-prone regions or reservoirs to mitigate droughts).
Grade 8 Science Test Questions
Released New York State Grade 8 science test questions that assess MS-ESS3-2 are listed here by test and question cluster. Each link opens the question with its answer key.
Performance Level Descriptions
Every Grade 8 Science Test question on MS-ESS3-2 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-ESS3-2.
NGSS Dimensions
Performance expectation MS-ESS3-2 was developed using the following elements from the NRC document A Framework for K-12 Science Education:
- Analyzing and Interpreting Data
- Analyze and interpret data to determine similarities and differences in findings.
- ESS3.B: Natural Hazards
- Mapping the history of natural hazards in a region, combined with an understanding of related geologic forces, can help forecast the locations and likelihoods of future events.
- Patterns
- Graphs, charts, and images can be used to identify patterns in data.