In this unit students will become more knowledgeable about historical events as well as infer/identify elements of a fable narration. Within the text, they will take three reading check quizzes via Google Forms. Students will partake in an Escape Room for a final assessment of the book. At the end of this unit, after reading the book, students will create their own ideal society.

In this unit students will become more knowledgeable about historical events as well as infer/identify elements of a fable narration. Within the text, they will take three reading check quizzes via Google Forms. Students will partake in an Escape Room for a final assessment of the book. At the end of this unit, after reading the book, students will create their own ideal society.

This OER textbook has been developed to support English Composition and Rhetoric courses at rural Arizona community colleges.

In this unit you will learn about the formal parts of an argument and how they work together. You will also learn about a common and not always honest way that people making arguments attempt to persuade their audiences, sometimes through manipulation.

This unit contains two lessons, a primary source reading, an information literacy activity, and a discussion activity.

This resource was created as part of a Developmental Reading course redesign project, with contributions from Theresa Love and David Pontious and support from an Open Oregon Educational Resources grant.

Rhetorical analysis is a tool for deeper critical reading. When you analyze a text rhetorically, you consider the overall situation and context of the writing and how the needs and constraints of the writing situation may have guided the author’s choices. Rhetorical analysis helps us look at the text itself but also outside the text at other aspects of the writing situation—context, author, audience, genre—that influenced the way this particular text was written.

This unit contains two lessons and two activities.

This resource was created as part of a Developmental Reading course redesign project, with contributions from Theresa Love and David Pontious and support from an Open Oregon Educational Resources grant.

This activity encourages students to analyze center and spread of the number of chocolate chips in 5 different brands of chocolate chip cookies.

Students read three short stories about women; discuss the development of female characters, gender differences, and society' s expectations; and write scripts in which the characters discuss their similarities and differences.

This lesson is for ABE students at a level D-E Reading level to practice identifying key points in video and text and analyzing the causes and effects of social issues, and identifying solutions to these problems. By watching two short videos and reading materials on the effects of lead exposure and on the specific drinking water crisis in Flint, MI, students will examine key issues, analyze the problem and its causes, identify approaches to solving this problem and ones like it in other locations, and apply this approach to other scenarios that are relevant to their immediate lives.

These 3 lessons are for high ABE/low ASE students at a level D-E Reading level to practice identifying key points in video and text and analyzing the causes and effects of social issues, and identifying solutions to these problems. By watching two short videos and reading EPA materials on the effects of lead exposure and a short article on the specific drinking water crisis in Flint, MI, students will examine key issues, analyze the problem and its causes, identify approaches to solving this problem and ones like it in other locations, and apply this approach to other scenarios that are relevant to their immediate lives.

This lesson unit is intended to help teachers assess how well students are able to: work with concepts of congruency and similarity, including identifying corresponding sides and corresponding angles within and between triangles; Identify and understand the significance of a counter-example; Prove, and evaluate proofs in a geometric context.

The activity is divided into seven parts, as follows:

Part A: students access an online data set of historic global temperature anomalies and use the webpage to answer questions about the source and presentation of the data.
Part B: students copy the data into an Excel spreadsheet and organize it so that it is easy for them to use and for others to follow.
Part C: students graph their data, explore the use of trend lines, and use a linear regression line to predict future temperatures.
Part D: students access an online data set of historic temperature anomalies within their latitude zone, analyze this data, and compare their results to those from Part C.
Part E: students access an online data set of historic temperatures for their state, analyze this data, and compare their results to those from Parts C and D.
Part F: students choose two original questions related to climate variability and use these or other data sets to address their questions.
Part G: students evaluate the statistical significance of their linear regression lines and interpret their results in the context of climate variability

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Students will explore maps containing census data from 1950 through 2000. They will analyze how education levels and median household incomes have changed over time and determine how the two might be correlated. Students will also come up with ideas for policies that could help address issues related to income and education.

STUDENT ACTIVITY - 1st -- VAThis is a distance-learning lesson students can complete at home.Students will collect data outdoors and record the data in a table. Then, they will compare the numbers collected by writing greater-than, less-than or equal-to statements.This activity was created by Out Teach (out-teach.org), a nonprofit providing outdoor experiential learning to transform Science education for students in under-served communities. .

Students conducted data analysis about American political divisions and created two papers from this data analysis. Sutdents were assigned to group projects involving data analysis assigned chapters in MICROCASE AMERICAN GOVERNMENT, a textbook that includes access to a variety of datasets.

This lesson introduces students developmental milestones from birth to age 8. Using the CDC’s developmental milestones, students will create timelines highlighting developmental progressions. Students will then synthesize the progressions through observational and reflective writing.

This workshop demonstrates how using R can advance open science practices in education. We focus on R and RStudio because it is an increasingly widely-used programming language and software environment for data analysis with a large supportive community. We present: a) general strategies for using R to analyze educational data and b) accessing and using data on the Open Science Framework (OSF) with R via the osfr package. This session is for those both new to R and those with R experience looking to learn more about strategies and workflows that can help to make it possible to analyze data in a more transparent, reliable, and trustworthy way. Access the workshop slides and supplemental information at https://osf.io/vtcak/​.

Resources:

1) Download R: https://www.r-project.org/​
2) Download RStudio (a tool that makes R easier to use): https://rstudio.com/products/rstudio/...​
3) R for Data Science (a free, digital book about how to do data science with R): https://r4ds.had.co.nz/​
4) Tidyverse R packages for data science: https://www.tidyverse.org/​
5) RMarkdown from RStudio (including info about R Notebooks): https://rmarkdown.rstudio.com/​
6) Data Science in Education Using R: https://datascienceineducation.com/​

The webinar features Dr. Joshua Rosenberg from the University of Tennessee, Knoxville and Dr. Cynthia D’Angelo from the University of Illinois at Urbana-Champaign discussing best practices examples for using R. They will present: a) general strategies for using R to analyze educational data and b) accessing and using data on the Open Science Framework (OSF) with R via the osfr package. This session is for those both new to R and those with R experience looking to learn more about strategies and workflows that can help to make it possible to analyze data in a more transparent, reliable, and trustworthy way.

Students are often asked to perform speeches, but rarely do we require students to analyze speeches as carefully as we study works of literature. In this unit, students are required to identify the rhetorical strategies in a famous speech and the specific purpose for each chosen device. They will write an essay about its effectiveness and why it is still famous after all these years.

During a lab period, students go out in the field to an area that contains at least 2 fault/fracture sets. Students measure orientations of faults and make observations about the relationship between different fault sets. After the field trip, the students compile their field data, plot it on a stereonet and write-up a brief report. In this report students will use their field observations and stereonet patterns to determine whether faults are related or unrelated to each other.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)