This Remote Learning Plan was created by Julie Rankin in collaboration with Craig Hicks and Tyler Cronin as part of the 2020 ESU-NDE Remote Learning Plan Project. Educators worked with coaches to create Remote Learning Plans as a result of the COVID-19 pandemic.The attached Remote Learning Plan is designed for 5th grade math students. Students will learn how to use divisibility rules. This Remote Learning Plan addresses the following NDE Standard: MA5.1.2 It is expected that this Remote Learning Plan will take students 45 minutes to complete. Here is the direct link to the Google Doc: Divisibility Rules

This Remote Learning Plan was created by Julie Rankin in collaboration with Craig Hicks and Tyler Cronin as part of the 2020 ESU-NDE Remote Learning Plan Project. Educators worked with coaches to create Remote Learning Plans as a result of the COVID-19 pandemic.The attached Remote Learning Plan is designed for 5th grade math students. Students will learn how to multiply fractions with models. This Remote Learning Plan addresses the following NDE Standard: MA5.1.2.c It is expected that this Remote Learning Plan will take students 45 minutes to complete. Here is the direct link to the Google Doc: Multiply Fractions with Models 

This Remote Learning Plan was created by Julie Rankin in collaboration with Craig Hicks and Tyler Cronin as part of the 2020 ESU-NDE Remote Learning Plan Project. Educators worked with coaches to create Remote Learning Plans as a result of the COVID-19 pandemic.The attached Remote Learning Plan is designed for 5th grade math students. Students will learn how to write whole numbers in standard, expanded, and word form. This Remote Learning Plan addresses the following NDE Standard: MA5.1.1.a It is expected that this Remote Learning Plan will take students 45 minutes to complete.Here is the direct link to the Google Doc:  Standard, Expanded, and Word Form 

In this field exercise for an introductory environmental science course, students investigate plant cover and type in a riparian area using transects. The final assignment is a lab report that includes a summary data table, a graph of cover types along their transect and an analysis of riparian health.

(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.)

Una introducción a R utilizando los datos de Gapminder. El objetivo de esta lección es enseñar a las programadoras principiantes a escribir códigos modulares y adoptar buenas prácticas en el uso de R para el análisis de datos. R nos provee un conjunto de paquetes desarrollados por terceros que se usan comúnmente en diversas disciplinas científicas para el análisis estadístico. Encontramos que muchos científicos que asisten a los talleres de Software Carpentry utilizan R y quieren aprender más. Nuestros materiales son relevantes ya que proporcionan a los asistentes una base sólida en los fundamentos de R y enseñan las mejores prácticas del cómputo científico: desglose del análisis en módulos, automatización tareas y encapsulamiento. Ten en cuenta que este taller se enfoca en los fundamentos del lenguaje de programación R y no en el análisis estadístico. A lo largo de este taller se utilizan una variedad de paquetes desarrolados por terceros, los cuales no son necesariamente los mejores ni se encuentran explicadas todas sus funcionalidades, pero son paquetes que consideramos útiles y han sido elegidos principalmente por su facilidad de uso.

In this activity, learners explore how different deodorants work. Learners treat agar plates with different types of deodorants and compare the bacteria growth on the plates to the control sample.

Here you will find a printable schedule that pairs with the new OER format of assignments. 

Jumping into research on a specific subject may feel overwhelming when faced with the vast amount of information that has been published on the subject. In this lesson, students will discover how research is like a conversation that takes place between scholars in a field and will investigate ways they can become part of the conversation over time.

Personal choice and voice are key components to successful face-to-face and virtual learning for today’s K-12 students. Open Educational Resources can support these strategies of inquiry and personalized learning in many formats. Through the readings, digital tool exploration, and OER creation activity in this module, school librarians will further develop their digital expertise in creating student-centered (voice and choice) curriculum and instruction.By publishing lessons on OER Commons, other educators can find them, revise them and reshare them, thus expanding and improving access for all! This is a renewable assignment for school librarians – remember, renewable assignments are an alternative to traditional, disposable assignments, which students “throw away” after they are graded. With renewable assignments learners are asked to create and openly license valuable artifacts that, in addition to supporting their own learning, will be useful to other learners both inside and outside the classroom. An essential part of renewable assignments is the capacity to share them publicly and with an open license. As a school librarian, the lesson you create can also be a renewable assignment designed for K-12 learners; there are samples of renewable assignments in the folder Sample Renewable Assignments in the Renewable Assignments group. 

Daily science assignments. Please install Adobe Flash or change computer settings to 'Allow' for Microorganisms assignments to work. 

This article features children's literature about scientists and scientific research in the Arctic and in Antarctica.

The send-a-problem activity helps students make a connection between real world data and theoretical models.

Short Description:
Short guides in common research methodologies, created by doctoral students for doctoral students.

Word Count: 29950

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An Introduction to Statistics

Short Description:
Significant Statistics: An Introduction to Statistics was adapted and original content added by John Morgan Russell. It is adapted from content published by OpenStax Introductory Statistics, OpenIntro Statistics, and Introductory Statistics for the Life and Biomedical Sciences. NewParaNote to instructors: This book is undergoing active peer review and copyediting. It may change. Please complete this form https://bit.ly/stat-interest to be notified of the status of the book.NewParaSignificant Statistics: An Introduction to Statistics is intended for the one-semester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a 'Your Turn' problem that is designed as extra practice for students. NewParaInstructors reviewing, adopting, or adapting this textbook, please help us understand your use by filling out this form: https://bit.ly/stat-interest.

Long Description:
Significant Statistics: An Introduction to Statistics is intended for the one-semester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a ‘Your Turn’ problem that is designed as extra practice for students.

Word Count: 275456

ISBN: 978-1-949373-37-0

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Simmons University and academic health sciences libraries across the USA are partnering to offer a post-master’s certificate program in the area of Inter-Professional Informationist (IPI), for the purpose of bridging the gap between traditional and emergent skills in health sciences librarianship and increasing the diversity in the workforce. A small cohort of librarians in the program will complete seven IPI courses, and partner institutions will connect them with researchers and clinical leaders who will mentor their capstone. This project was made possible in part by the Institute of Museum and Library Services with the Laura Bush 21st Century Librarian Program Grant [RE-17-19-0032-19]. Simmons University, School of Library and Information Science, College of Organizational, Computational and Information Science provides cost-share of the project.

One of the courses included in the IPI program is “Scientific Research Data Management” was taught Fall 2020 by Elaine Martin and Julie Goldman. This course had been an elective in the Simmons School of Library and Information Science curriculum for many years, but underwent a redesign to include and address many of the newer emerging areas related to data services in libraries. For example, the course included “Special Topics” that included Data Curation, Data Skills, Reproducibility, and Informationists. While basic understanding of data management is critical for librarians to work with researchers, there are these emerging areas where librarians can provide even more specialized help to their communities. It is one of the IPI’s project’s goals to bridge the gap between traditional and emergent skills in health sciences librarianship.

This Open Science Framework project site includes curriculum materials for Simmons IPI LIS-532U-OL Scientific Research Data Management (course offered Fall 2020). This course serves as an introduction to the field of scientific data management, and aims to help prepare information professionals and information students for engaging with scientists.

Build coin expressions, then exchange them for variable expressions. Simplify and evaluate expressions until you are ready to test your understanding of equivalent expressions in the game!