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Introduction to Character Foils
During this lesson, students will view video clips and read texts that have character foils examples. Students will complete a graphic organizer with evidence that supports their identification of foil characters. Once complete, students will use the information from the graphic organizer to discuss character foils.
Metacognitive Approaches to Student-based Learning
In this lesson, students will learn how to make complex inferences and draw conclusions about a work of literary fiction using a combination of text evidence and background knowledge. Using a graphic organizer and a short story, students will record both text evidence and their prior knowledge, and combine these elements to make an inference about the character.
Newton's Three Laws of Motion
This resource provides alternate or additional learning opportunities for students learning the three Newton's Laws of Motion. It includes a collection of interactive materilas, videos, and other digital media. Physics TEKS, (4)(D)
Newton's Law of Inertia
This resource provides instructional resources for Newton's First Law, the law of inertia.
Newton's Law of Action-Reaction
This resource is to support TEKS (8)(6)(C), specifically the Newton's third law or the law of action-reaction.
Given schematic diagrams, illustrations or descriptions, students will identify the relationship of electric and magnetic fields in applications such as generators, motors, and transformers.
Given diagrams, illustrations, scenarios, or relevant data, students will calculate the power of a physical system.
Kinetic and Potential Energy
Given diagrams, illustrations or relevant data, students will identify examples of kinetic and potential energy and their transformations.
Using diagrams, illustrations, and relevant data, students will calculate the net work done on an object, the change in an object's velocity, and the change in an object's kinetic energy.
8.01 Introduction to Confidence Intervals
In this video, students will be introduced to the construction and interpretation of confidence intervals.
8.02 Confidence Interval for One Mean
In this video, students will learn to construct a confidence interval for a population mean.
8.03 Visualizing a Confidence Interval
In this video, students will learn to visualize the construction of a confidence interval.
8.04 Interpreting Confidence Intervals
In this video, students will learn to interpret a confidence interval.
8.05 Confidence Interval for One Proportion
In this video, students will learn to construct and interpret a confidence interval for one proportion.
8.06 Factors Affecting the Width of a Confidence Interval
In this video, students will explore how the components of a confidence interval affect its width.
8.07 Confidence Intervals in the Real World
In this video, students will analyze confidence intervals in the real world.
7.01 Variability in Sample Proportions, Part 1
In this video, students describe and model variability using a binary population distribution and the sampling distribution of a sample proportion.
7.02 Variability in Sample Proportions, Part 2
In this video, students learn to describe and model variability using a binary population distribution, and the sampling distribution of a sample proportion.
7.03 Variability in Sample Means
In this video, students describe and model variability using a continuous population distribution, and the sampling distribution of a sample mean.
7.04 Using the Central Limit Theorem
In this video, students use the central limit theorem to describe variability using a sample mean.