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.
Thesis Throwdown
After students watch a brief video introducing thesis statements, they will create a class thesis statement checklist, use a prompt to write a personal thesis, compare theirs to others in their group while working to craft and revise a group thesis to present to the class after participating in a Gallery Walk where they provide and incorporate revision suggestions.
Teacher Introducing Lesson
6 OnTRACK English I Reading: Reading and Vocabulary Development Across Genres
OnTRACK English I Reading, Module 1, Lessons 1–5 and Practice Lesson. Students will understand new vocabulary and use it when reading and writing.
4 OnTRACK English I Writing: Writing the Expository and Procedural Essay
OnTRACK English I Writing, Module 3, Lessons 1–4. Students write expository and procedural or work-related texts to communicate ideas and information to specific audiences for specific purposes
6 Chapter 3: Kinematics
In this chapter, we analyze the motion of constantly accelerated objects over time in terms of displacement, velocity, and acceleration.
7 Chapter 9: Hypothesis Testing
In this chapter, students will learn how to perform a hypothesis test and interpret its results.
3 Chapter 1: Exploring Data
In this chapter, we introduce statistics, how it is used, and the types of data we come across in real life.
4 Chapter 7: Sampling Distributions
In this chapter, students will describe and model variability using population and sampling distributions.
7 Chapter 8: Confidence Intervals
In this chapter, students will learn how to construct and interpret a confidence interval for a population mean and a population proportion.
5 Chapter 10: Comparing Two Groups
In this chapter, students interpret confidence intervals and the results of hypothesis tests for the difference between two means and the difference between two proportions.
5 Chapter 3: Representing Categorical Data
In this chapter, we explore the different ways to display categorical data and draw conclusions based on the representations.
8 Chapter 2: Data Collection, Sampling, and Experimental Design
In this chapter, we explore various methods of data collection and potential problems that may occur when collecting data.
9 Chapter 6: Probability
In this chapter, students explore probability and random variables.
5 Chapter 6: Waves
In this chapter, we explore the mathematical concept of a wave and show how this concept can be used to accurately describe and predict many natural phenomena.
3 Chapter 7: Static Electricity
In this chapter, we explore how electrically charged particles interact through electrostatic forces and fields.
6 Chapter 4: Representing Quantitative Data
In this chapter, we explore different ways to display quantitative data, and draw conclusions based on the representations.
7 Chapter 11: Exploring Bivariate Data
In this chapter, students explore the relationship between two quantitative variables. Students will analyze scatterplots for strength, direction, and form; interpret the correlation coefficient; determine the line of best fit using least-squares regression; use the line of best fit to make predictions for a value of y given a value of x; interpret the slope and the y-intercept; learn about alternative methods of finding the line of best fit, including the median-median line and the absolute value line; and identify outliers and influential points and their effects on the regression line and correlation coefficient.
6 Chapter 5: Measuring Center and Spread
In this chapter, students will learn multiple measures for center and spread, and will be introduced to the normal distribution and the empirical rule.
3 Chapter 1: Nature of Science and Scientific Ethics
In this chapter, we explore the nature of science itself, including its practice, ethics, and impact.