This is a cooperative learning exerise that allows students to learn about comparative advantage and the gains from trade.

Today's math curriculum is teaching students to expect -- and excel at -- paint-by-numbers classwork, robbing kids of a skill more important than solving problems: formulating them. In his talk, Dan Meyer shows classroom-tested math exercises that prompt students to stop and think. (Filmed at TEDxNYED.)

Data Carpentry lesson from Ecology curriculum to learn how to analyse and visualise ecological data in R. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with ecology data in R. This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R.

Software Carpentry lesson that teaches how to use databases and SQL In the late 1920s and early 1930s, William Dyer, Frank Pabodie, and Valentina Roerich led expeditions to the Pole of Inaccessibility in the South Pacific, and then onward to Antarctica. Two years ago, their expeditions were found in a storage locker at Miskatonic University. We have scanned and OCR the data they contain, and we now want to store that information in a way that will make search and analysis easy. Three common options for storage are text files, spreadsheets, and databases. Text files are easiest to create, and work well with version control, but then we would have to build search and analysis tools ourselves. Spreadsheets are good for doing simple analyses, but they don’t handle large or complex data sets well. Databases, however, include powerful tools for search and analysis, and can handle large, complex data sets. These lessons will show how to use a database to explore the expeditions’ data.

After review of these activities learners will understand where the importance of close reading exists within the Common Core.

SYNOPSIS: This lesson is an exploration of climate change data, including greenhouse gases, global temperature, ice melt, and sea level rise.

SCIENTIST NOTES: This lesson lets students explore almost real-time data on the ways human-caused global warming is disrupting different earth systems. All of the external links use the highest quality data available and are considered reputable sources. This lesson has passed our science quality assessment.

POSITIVES:
-This lesson is all about curiosity and exploration. Students make meaning from all of this data collectively. This should be a very social activity as students share noticings, wonderings, and realizations with each other.
-This can be a very hands-off lesson, as students guide their own learning and discussion.

ADDITIONAL PREREQUISITES:
-You must copy the Student Slideshow, share it with your students, and grant them editing rights. They will be writing in the slideshow during the lesson.
-The data from these sources is always being updated.
-There are other greenhouse gases that students will not explore. These are the fluorinated gases, "a family of man-made gases used in a range of industrial applications." (Source: EU Commission)

DIFFERENTIATION:
-Seeing the extent of these numbers might cause feelings of anxiety, sadness, anger, despair, or surprise in some students. Make sure to remind them that those feelings are normal and natural. Sharing those feelings with the class usually helps students feel better. Encourage students to share their honest reactions.
-This exploration and these discussions might naturally lead into the “What can we do about it?” discussion.
-These graphs are all unsustainable. It might be useful to use these graphs to better explain the concept of sustainability to the students.
-Students should feel free to conduct research on their own to better understand their resources. For example, students can research sources of atmospheric nitrous oxide.
-It is a good thing if students have more questions leaving this class than when they entered.

Ecology For All! Is an ecology text designed in modules so that instructors can choose the pieces that make sense to assign in their context. This book has been in development for several years and is a collaborative effort of authors at Gettysburg College, Franklin & Marshall College, and University of Pittsburgh. The textbook covers a wide range of topics including Introduction to Ecology, Evolution, Adaptations to the Physical Environment, various ecological communities, Population Ecology, Behavioral Ecology, Species Interactions, Ecological Succession, Biogeochemical Cycles, Landscape Ecology, Biodiversity, Conservation Biology, and Human Impact on Global Climate among others. The authors have presented on it at the Ecological Society of America meeting and the book continues to evolve.

The “Einstein Project” is a framework that is designed to help you find a solution to an everyday problem that makes you passionate in your thinking and designing. This project is designed to make you think outside of the box as active learners and create solutions in uncommon ways, forget about failing or succeeding and take chances.

SYNOPSIS: In this lesson, students conduct research on electric bicycles and electric cars, choose one of these technologies, and create a video promoting its use as a climate solution.

SCIENTIST NOTES: Over the course of their use, electric cars are far more environmentally friendly than conventional automobiles. This lesson examines those benefits as well as how to make cities friendlier to bikes and other commuting options. The external resources in this lesson have passed our scientific review process.

POSITIVES:
-Students must use hard data to promote either electric bicycles or electric cars.
-Students record quick, informative videos as their assessment in this lesson plan.

ADDITIONAL PREREQUISITES:
-Students should have a basic understanding of climate change. They should know that burning fossil fuels creates greenhouse gases and that greenhouse gases are heating up the planet.
-There are fourteen total images in the Inquire section. Feel free to disregard some of them based on your needs.
-Many students assume that electric cars do not create emissions at all. Students will learn:
-There are embedded emissions from the manufacturing of electric cars.
-Electric cars that use electricity generated by fossil fuels (coal, oil, and gas) are still creating emissions.
-Your students will need access to devices to record their advertisements. Students can record themselves on iPods, iPads, laptops, or other school devices. Depending on your school's phone policy, you can have your students use their own devices.

DIFFERENTIATION:
-Be sensitive to the socioeconomic situation of your students. Some students' families may not own bicycles or cars or be able to afford electric bicycles or electric cars.
-Creating the advertisement can be done as a homework assignment.
-Students may want to include drawings, puppets, props, or other creative items in their advertisements. Encourage their creative expression!

A free and open source textbook for a traditional, one-semester, engineering mechanics (statics) course.
Topics include forces and moments; equilibrium of particles, rigid bodies, and structures; centroids and moments of inertia. The text contains interactive diagrams illustrating important concepts. A pdf version is at https://engineeringstatics.org/pdf/statics.pdf

Thompson Rivers University (TRU) has developed an OER in financial management consisting of 21 learning modules that can be used to teach courses in introductory and advanced financial management at the undergraduate and graduate levels as well as a course in business valuations. Each module consists of a detailed reading, presentation slides, learning problems, and answer keys. A number of case studies in areas such as financial statement analysis, financing planning, capital budgeting, and cost of capital are also included along with sample course outlines.

Faculty can select whatever modules they feel are needed to achieve the specific learning outcomes for a course. As OERs, faculty are also free to modify the readings, problems, or case studies so they better meet their needs and those of their students. These modules can be quickly imported into a learning management system such as Moodle or Blackboard to produce a challenging face-to-face or online learning experience.

With the rising cost of education, particularly textbooks, faculty are obligated to “adopt and adapt” OERs whenever possible to help their students.

Introductory Statistics Course covering hypothesis testing, confidence interval, sampling, probability, counting techniques, correlation, linear regression, data collection and more.

With the closing of schools because of the COVID 19 pandemic, schools and districts have pushed instruction online.

The following reflects the distance learning plan for the Grossmont Union High School District. It establishes the tone and expectations for teachers. Additionally, we provide templates and guidance.

Download GeoGebra Illustrative Mathematics LMS course files. All of GeoGebra's Illustrative Mathematics apps have been placed via links into Moodle courses - each unit is one course. There are twenty save middles school courses and more for high school (the list is growing.) These course files can then be uploaded into Moodle, Schoology, Canvas or D2L.

The goal of this assignment is for students to recognize that adding some randomization and "noise" to a model yields different results each time we run the model, and we can pull some useful statistics from these model results. This introduces the concept of a Monte Carlo method to the students.

This is a graphic correlation lab exercise. It uses real data from a peer-reviewed journal publication by Lucy Edwards (1989). (I have manipulated the data set a little bit.) Students can finish the activity in two hours or less.

(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.)