Grade 7 Math
In this course, students will build understanding of the following modules: Thinking Proportionally, Applying Proportionality, Reasoning Algebraically, Analyzing Populations and Probabilities, and Constructing and Measuring.
Each module is broken up into topics where you will find teacher materials to guide the instruction and the student materials both used in the classroom for learning together and learning individually.
The agency developed these learning resources as a contingency option for school districts during COVID. All resources are optional. Prior to publication, materials go through a rigorous third-party review. Review criteria include TEKS alignment, support for all learners, progress monitoring, implementation supports, and more. Products also are subject to a focus group of Texas educators.
Module 2: Developing Function Foundations
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Module 3: Investigating Growth and Decay
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Algebra I - Module 1, Topic 2: Sequences
In this topic, students explore sequences represented as lists of numbers, in tables of values, by equations, and as graphs on the coordinate plane. Students move from an intuitive understanding of patterns to a more formal approach of representing sequences as functions. In the final lesson of the topic, students are introduced to the modeling process. Defined in four steps—Notice and Wonder, Organize and Mathematize, Predict and Analyze, and Test and Interpret—the modeling process gives students a structure for approaching real-world mathematical problems.
Algebra I - Module 1, Topic 3: Linear Regressions
In this topic, students focus on the patterns that are evident in certain data sets and use linear functions to model those patterns. Using the informal knowledge of lines of best fit that was built in previous grades, students advance their statistical methods to make predictions about real-world phenomena. They differentiate between correlation and causation, recognizing that a correlation between two quantities does not necessarily mean that there is also a causal relationship. At the end of this topic, students will synthesize what they have learned to decide whether a linear model is appropriate.
Grade 6 Math Spanish
En este curso, los estudiantes desarrollarán la comprensión de los siguientes módulos: Componer y descomponer, Relacionar cantidades, Más allá de las cantidades positivas, Determinar cantidades desconocidas y Descripción de la variabilidad de las cantidades.
Cada módulo está compuesto de temas donde se encontrarán materiales para maestros para guiar la instrucción y materiales para el uso de los estudiantes en el aula para el aprendizaje en grupo e individual.
La agencia desarrolló estos recursos de aprendizaje como una opción de contingencia para los distritos escolares durante COVID. Todos los recursos son opcionales. Antes de su publicación, los materiales pasan por una rigorosa revisión por parte de terceros. Los criterios de la revisión incluyen la alineación con TEKS, el apoyo para todos los estudiantes, el monitoreo progresivo, el apoyo en la implementación y más. Los productos también están sujetos a un grupo de educadores de Texas.
Grade 6 Math Acceleration
In this course, students will build understanding of the following modules: Composing and Decomposing, Relating Quantities, Moving Beyond Positive Quantities, Determining Unknown Quantities, Thinking Proportionally, and Describing Variability of Quantities.
Each module is broken up into topics where you will find teacher materials to guide the instruction and the student materials both used in the classroom for learning together and learning individually.
The agency developed these learning resources as a contingency option for school districts during COVID. All resources are optional. Prior to publication, materials go through a rigorous third-party review. Review criteria include TEKS alignment, support for all learners, progress monitoring, implementation supports, and more. Products also are subject to a focus group of Texas educators.
Grade 6 Math
In this course, students will build understanding of the following modules: Composing and Decomposing, Relating Quantities, Moving Beyond Positive Quantities, Determining Unknown Quantities and Describing Variability of Quantities.
Each module is broken up into topics where you will find teacher materials to guide the instruction and the student materials both used in the classroom for learning together and learning individually.
The agency developed these learning resources as a contingency option for school districts during COVID. All resources are optional. Prior to publication, materials go through a rigorous third-party review. Review criteria include TEKS alignment, support for all learners, progress monitoring, implementation supports, and more. Products also are subject to a focus group of Texas educators.
Geometry
In this course, students will build understanding of the following modules: Reasoning with Shapes, Establishing Congruence, Investigating Proportionality, Connecting Geometric and Algebraic Descriptions, and Making Informed Decisions.
Each module is broken up into topics where you will find teacher materials to guide the instruction and the student materials both used in the classroom for learning together and learning individually.
The agency developed these learning resources as a contingency option for school districts during COVID. All resources are optional. Prior to publication, materials go through a rigorous third-party review. Review criteria include TEKS alignment, support for all learners, progress monitoring, implementation supports, and more. Products also are subject to a focus group of Texas educators.
Interpreting Scatterplots
Given scatterplots that represent problem situations, the student will determine if the data has strong vs weak correlation as well as positive, negative, or no correlation.
Making Predictions and Critical Judgments (Table/Verbal)
Given verbal descriptions and tables that represent problem situations, the student will make predictions for real-world problems.
Collecting Data and Making Predictions
Given an experimental situation, the student will write linear functions that provide a reasonable fit to data to estimate the solutions and make predictions.