### Clarifications

**Algebra 1 Content Notes:**

Working with quantities and the relationships between them provides grounding for work with expressions, equations, and functions.

**Subject Area:**Mathematics

**Grade:**912

**Domain-Subdomain:**Number & Quantity: Quantities

**Cluster:**Level 2: Basic Application of Skills & Concepts

**Cluster:**Reason quantitatively and use units to solve problems. (Algebra 1 - Supporting Cluster) (Algebra 2 - Supporting Cluster) -

Clusters should not be sorted from Major to Supporting and then taught in that order. To do so would strip the coherence of the mathematical ideas and miss the opportunity to enhance the major work of the grade with the supporting clusters.

**Date Adopted or Revised:**02/14

**Date of Last Rating:**02/14

**Status:**State Board Approved

**Assessed:**Yes

## Related Courses

## Related Access Points

## Related Resources

## Assessments

## Formative Assessments

## Lesson Plans

## Unit/Lesson Sequence

## STEM Lessons - Model Eliciting Activity

The Corn Conundrum MEA provides students with an agricultural problem in which they must work as a team to develop a procedure to select the best variety of corn to grow under drier conditions predicted by models of global climate change. Students must determine the most important factors that make planting crops sustainable in restricted climate conditions for the client. The main focus of this MEA is manipulating factors relating to plant biology, including transpiration and photosynthesis.

The importance of knowing what drinking water contains. How to know what properties are present in different bottled water. Knowing the elements present in water that is advantageous to growth and development of many things in the body. To know what to be alert for in water and to understand the importance of water in general.

## MFAS Formative Assessments

Students are asked to describe potentially important variables that can be used in a model to predict the amount of damage caused by a thunderstorm.

Students are asked to describe potentially important variables that can be used in a model to predict the amount of time required to get to school.