THIS RESOURCE IS DESIGNED TO TEACH EARLY ELEMENTARY STUDENTS WHAT A CARBON FOOTPRINT IS, THE EFFECTS OF A CARBON FOOTPRINT, AND HOW TO REDUCE A CARBON FOOTPRINT.

This unit provides Common-Core aligned lessons based for Math 3, English 10, and Biology (NGSS Standards). The subjects are linked by a text on climate change, and they hit the standards of argumentation for English, comparing functions in Math 3, and human effects on environment in Biology.

This course covers the following topics: X-ray diffraction: symmetry, space groups, geometry of diffraction, structure factors, phase problem, direct methods, Patterson methods, electron density maps, structure refinement, how to grow good crystals, powder methods, limits of X-ray diffraction methods, and structure data bases.

This course in crystal structure refinement examines the practical aspects of crystal structure determination from data collection strategies to data reduction and basic and advanced refinement problems of organic and inorganic molecules.

This resource includes seven independent modules that focus on essential skills for engineering including how to find, understand, evaluate, and document information sources that are commonly used by engineers such as journal articles, patents, standards/guidelines, books, and webpages.

The resource has been created as a series of self-learning modules to support all undergraduate engineering students, regardless of their level of study. Since each online module focuses on building different skills, they can be used in combination or individually.

The seven modules included in this OER include:
1. Evidence-based practice
2. Books
3. Web Information
4. Journal Articles
5. Patents
6. Standards
7. Citation

This project is made possible with funding by the Government of Ontario and through eCampusOntario’s support of the Virtual Learning Strategy. To learn more about the Virtual Learning Strategy visit: https://vls.ecampusontario.ca

Grenzenlos Deutsch is a no-cost alternative to textbooks. We seek to represent a breadth of perspectives that will enable our students to talk about their own lives; thus we have designed content that is actively feminist, anti-racist, anti-classist, anti-ableist, LGBTQIA+ friendly and represents a spectrum of experience.

For each of the thematic modules, there are three units of increasing complexity. Each unit has approximately six lessons, and each lesson has an Erweiterung, which includes additional activities to recap and solidify activities in the main lesson; they were designed to be used as homework or in additional hours (for example, in a lab or conversation session).

Visit https://grenzenlos-deutsch.com/ for the full curriculum.

Grenzenlos Deutsch (GD) is:

Interactive: The activities are intended to give you opportunities to practice some of the skills you’ll be learning along the way.
Cultural: Each lesson includes readings and/or video that relates to some aspect of DACHL culture (D- Germany; A- Austria; CH- Switzerland; L-Liechtenstein).
Inclusive: One of our goals is to make it possible for you to talk about yourself and your life in German, and thus we introduce basic language for talking about LGBTQIA+ identities, complex family structures, and lifestyle choices such as veganism, vegetarianism, and intentional communities.
OER: Grenzenlos Deutsch is an Open Educational Resource. This means that all of the content, including photos and videos, can be used, reused, and shared with attribution given to Grenzenlos Deutsch. Licensed CC-BY-NC-SA: https://creativecommons.org/licenses/by-nc-sa/4.0/

Typical machine learning classes teach techniques to produce effective models for a given dataset. In real-world applications, data is messy and improving models is not the only way to get better performance. You can also improve the dataset itself rather than treating it as fixed. Data-Centric AI (DCAI) is an emerging science that studies techniques to improve datasets, which is often the best way to improve performance in practical ML applications. While good data scientists have long practiced this manually via ad hoc trial/error and intuition, DCAI considers the improvement of data as a systematic engineering discipline.

This is the first-ever course on DCAI. This class covers algorithms to find and fix common issues in ML data and to construct better datasets, concentrating on data used in supervised learning tasks like classification. All material taught in this course is highly practical, focused on impactful aspects of real-world ML applications, rather than mathematical details of how particular models work. You can take this course to learn practical techniques not covered in most ML classes, which will help mitigate the “garbage in, garbage out” problem that plagues many real-world ML applications.

This extended exercise engages soils students in both field and laboratory work through the collection and preservation of a soil monolith.

(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 exponential growth, sustainability, population trends, and social responsibility as observed in various texts relating to U.S. Westward Expansion.

This text is broken into five modules: Universals, Instruments, Rhythm, Melody, Harmony, and Texture, and Form. The text offers basic information on the aforementioned concepts. Supplemental materials (i.e. music examples) will be needed.

Derek Mueller advocates for a methodology to visualize and understand disciplinarity through what he calls network sense. Mueller’s methodology combines distant reading with thin description in a way that allows academics to avoid the obsessive depth of thick description. Distant reading and thin description complement networks of association in a way that affords inquiry and discovery for newcomers and seasoned scholars alike. Using word clouds, citation frequency graphs, and maps of scholarly activity as visual models, he presents ways we can visualize the field of rhetoric and composition/writing studies and its so-called turns, or widespread attention events, such as the global turn, visual turn, multimodal turn, and so on. This book is published by the WAC Clearinghouse/Colorado State University Open Press #writing book series and co-presented by the Digital Publishing Institute at WVU Libraries.

(This case study was added to OER Commons as one of a batch of over 700. It has relevant information which may include medical imagery, lab results, and history where relevant. A link to the final diagnosis can be found at the end of the case study for review. The first paragraph of the case study -- typically, but not always the clinical presentation -- is provided below.)

In 1999, at the age of 41 this man developed focal seizures in his right arm. The neurological examination was otherwise normal. He was in good health and his medical history was devoid of underlying disease. Cranial MRI revealed a homogeneously contrast enhancing lesion with microcalcifications in the left frontal lobe (Figs. 1 and 2). One year later the patient decided to have stereotactic biopsy. Surgically induced artifacts and small sample size aggravated tumor classification at that time. Differential diagnoses included oligodendroglioma WHO II and diffuse astrocytoma WHO II. In January 2003, at the age of 45, the patients developed weakness in his right arm and seizure frequency increased despite medication. Tumor size had considerably increased. Surgery was offered and the patient decided to have the lesion removed through a left frontal craniotomy. The postoperative course, was unremarkable, the weakness of the right arm disappeared.

This is a lesson plan for an activity about heart health and physical activity. Students will research, answer questions, and create a poster to present to the class about their type of physical activity.

In the fall of 2021, students in Pseudoscience courses started creating this open educational resource (OER), which has been built upon by subsequent classes. Our intention is to create a free textbook for this course that might also be used by students of critical thinking elsewhere and of all ages, whether in a classroom or not. Our growing, interactive textbook employs the Paul-Elder Model and other critical-thinking resources, and is freely available to all, learners and educators alike.

The topic of pseudoscience offers a rewarding way for students to learn the value of thinking critically, even as they get to argue things, like Flat Earth Theory and astrology, that may seem trivial at first. At a time when truth is understood as largely subjective, we have, not surprisingly, seen a resurgence in the popularity of pseudosciences and conspiracy theories, which many consider to hold significant truth value, just as valid as physical evidence. It is our aim here to demonstrate the reasoned analysis process — weighing truth, belief, opinion, and fact — so that others may be able to replicate this process and reason through their own questions about vaccines, extra-terrestrials, genetic modification, or the first people to arrive in the Americas.

Using a literature review and primary sources that were part of the review, students examine data to evaluate if this data can predict future life choices. Students will learn content in Math, Biology and Language Arts during this literacy-based lesson that supports students in using textual evidence to develop and support claims.