Difference between revisions of "MS-ESS3-2"
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| + | == {{Assessmentheading}} == | ||
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| + | {| class="wikitable" style="width:100%; text-align:center" | ||
| + | ! style="padding: 0.5em 1.5em;" | Exam | ||
| + | ! style="padding: 0.5em 1.5em;" | Cluster | ||
| + | ! 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]] | ||
| + | | 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:The Lake Erie Ecosystem|The Lake Erie Ecosystem]] | ||
| + | | 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]] | ||
| + | | 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]] | ||
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| + | | 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#q5|Question 21]] | ||
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| + | | style="background-color:white;" | [[Questions:Death Valley|Death Valley]] | ||
| + | | style="background-color:white;" | [[Questions:Death Valley#q5|Question 37]] | ||
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| + | | style="background-color:white;" | [[Questions:Death Valley|Death Valley]] | ||
| + | | style="background-color:white;" | [[Questions:Death Valley#q6|Question 38]] | ||
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| Level1 = Given patterns of data for a natural hazard, describe one appropriate action that could be taken to limit the negative effects from that hazard. | | Level1 = Given patterns of data for a natural hazard, describe one appropriate action that could be taken to limit the negative effects from that hazard. | ||
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Latest revision as of 22:37, 20 September 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).
Assessment
What assessment of MS-ESS3-2 might look like on a NY state exam.
Performance Level Descriptions
PLDs communicate the knowledge and skills expected of students to demonstrate proficiency in each Learning Standard. NYS assessments classify student performance into one of four levels.
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.