This is an adaptive credit recovery course, in which students will complete a pretest for each module, and will be exempted from activities for topics where mastery is demonstrated. This type of credit recovery course targets individual areas of need in the curriculum and minimizes repetition of content where students have demonstrated their understanding.
Students are introduced to the world of Algebra through expressions and equations. They will evaluate algebraic expressions and will solve and graph linear equations. Algebra 1 A CR steers students through different scenarios to emphasize using basic statistics to interpret information. Major topics include:
- Algebraic Expressions
- Operations with Real Numbers
- Properties of Real Numbers
- Basic Statistic Measures
- Solving Simple and Multi-step Equations
- Linear Functions and Graphs
- Solving Inequality Equations
Students learn through online lesson activities, videos, and interactive activities. Each module begins with a pretest, proceeds to lessons that conclude with a brief self-check, and wraps with a module exam. The course concludes with a cumulative exam.
This course uses content from Accelerate Education taught by a VHS Learning instructor who is certified in their content area and who follows VHS Learning policies. The course will be hosted in the Buzz learning management system. Students may spend 40 hours completing this course, though actual time-spent will vary based on individual student performance in module pretests.
Credit recovery courses do not meet initial eligibility requirements for NCAA. Students who require flexible courses meeting initial eligibility requirements should consider VHS Learning self-paced courses, which can be found in the VHS Learning Catalog.
Course Essential Questions:
- What tools do we need to describe and communicate about quantitative relationships?
- How can we create and use a mathematical model to plan for the future?
- How can we communicate about an event using a graphical model?
- How can statistical measures be used to accurately represent data?
- How can functions be used to model change?
- What problems are best solved using a system of equations and when can they be modeled using graphs?
Course Learning Objectives:
- Construct models to solve real-world problems.
- Select tools to describe and solve functions.
- Implement mathematical expressions to solve and represent functions.
- Construct graphs and models to solve and represent equations.
- Evaluate effective methods for simplifying expressions and solving equations.