Acting as city planners, students verify the mathematical accuracy of peer designs and reverse-engineer scale factors.
A high-stakes escape room challenge where students solve PEMDAS expressions involving exponents to crack the vault code. Students act as digital detectives navigating four distinct security layers.
A lesson introducing the distributive property through the metaphor of a delivery service, featuring guided and independent practice.
Students will model the exponential growth of a pepper population, starting from one pepper and doubling every season, to understand the power of geometric growth.
Students explore geometric similarity through art and tessellations, applying ratios and proportional parts to create scaled masterpieces.
A 45-minute introductory lesson to the Pythagorean Theorem for 7th grade, focusing on identifying triangle parts and discovering the fundamental relationship between side lengths.
In-depth look at interpreting points on a proportional graph, specifically the unit rate (1, r) and the origin (0, 0).
Students identify the constant of proportionality from tables and translate proportional relationships onto coordinate planes.
Covers solving one-step and two-step equations using inverse operations and verifying solutions through substitution.
Focuses on identifying terms, combining like terms, and applying the distributive property to simplify algebraic expressions.
This lesson focuses on practical math applications in a retail setting, covering decimals, percentages, and basic arithmetic with a focus on money management.
A comprehensive milestone assessment and review unit for 6th-grade students performing in the 221-230 RIT range, focusing on The Number System and Expressions & Equations. Includes a technical blueprint, skill-building lab activities, and a final proficiency assessment.
A cumulative milestone assessment designed for students at Grade 6 proficiency (RIT 221-230). This assessment checks foundational understanding of ratios, expressions, and geometry needed for 8th-grade success.
Week 7 analyzes bivariate data through scatter plots, interpreting lines of best fit, and using linear models to make predictions.
