Difference between revisions of "MS-LS2-2"

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{{Navlinks|MS-LS2-4|MS-LS2-5|← MS-LS2-4|MS-LS2-5 →}}
 
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| ls = Construct an explanation that predicts patterns of interactions among organisms in a variety of ecosystems.
 
| ls = Construct an explanation that predicts patterns of interactions among organisms in a variety of ecosystems.
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| SEP1 =  
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| SEP1 = Constructing Explanations and Designing Solutions
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* Construct an explanation that includes qualitative or quantitative relationships between variables that predict phenomena.
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| DCI1 = LS2.A: Interdependent Relationships in Ecosystems
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* Similarly, predatory interactions may reduce the number of organisms or eliminate whole populations of organisms. Mutually beneficial interactions, in contrast, may become so interdependent that each organisms requires the other for survival. Although the species involved in these competitive, predatory, and mutually beneficial interactions vary across ecosystems, the patterns of interactions of organisms with their environments, both living and nonliving, are shared.
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| CC1 = Patterns
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* Patterns can be used to identify cause and effect relationships.
 
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| SUBJECT = [[P-8]]
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| SUBJECT = [[MS]]
 
| TOPIC = MS. Interdependent Relationships in Ecosystems
 
| TOPIC = MS. Interdependent Relationships in Ecosystems
 
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<metadesc>NYS Standard MS-LS2-2: Construct an explanation that predicts patterns of interactions among organisms in a variety of ecosystems.</metadesc>
 
<metadesc>NYS Standard MS-LS2-2: Construct an explanation that predicts patterns of interactions among organisms in a variety of ecosystems.</metadesc>

Revision as of 11:00, 5 May 2025

Construct an explanation that predicts patterns of interactions among organisms in a variety of ecosystems.

Clarification statement: Emphasis is on predicting patterns of interactions such as competition, predation, mutualism, and parasitism in different ecosystems in terms of the relationships among and between organisms.

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 five levels.

Construct an explanation that predicts multiple patterns of interactions, both positive and negative, among organisms in a variety of ecosystems.
Construct an explanation that predicts patterns of interactions among organisms in a variety of ecosystems.
Given a pattern of interaction (interdependent relationship) in an ecosystem, identify which organisms display this interaction.
Identify the type of interaction (interdependent relationship) from those provided, between two different organisms in an ecosystem.

Resources

Examples and discussion of resources for the learning, teaching, and assessment of MS-LS2-2.

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Assessment

What assessment of MS-LS2-2 might look like on a NY state exam.

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NGSS Dimensions

Performance expectation MS-LS2-2 was developed using the following elements from the NRC document A Framework for K-12 Science Education:

Science and Engineering Practices
  • Constructing Explanations and Designing Solutions
    • Construct an explanation that includes qualitative or quantitative relationships between variables that predict phenomena.
Disciplinary Core Ideas
  • LS2.A: Interdependent Relationships in Ecosystems
    • Similarly, predatory interactions may reduce the number of organisms or eliminate whole populations of organisms. Mutually beneficial interactions, in contrast, may become so interdependent that each organisms requires the other for survival. Although the species involved in these competitive, predatory, and mutually beneficial interactions vary across ecosystems, the patterns of interactions of organisms with their environments, both living and nonliving, are shared.
Crosscutting Concepts
  • Patterns
    • Patterns can be used to identify cause and effect relationships.

Connections to Other Standards

MS-LS2-2 connections to ELA, math, and other science standards as outlined by the NYS Education Department:



MS | MS. Interdependent Relationships in Ecosystems