(Nota: Esta es una traducción de un recurso educativo abierto creado por el Departamento de Educación del Estado de Nueva York (NYSED) como parte del proyecto "EngageNY" en 2013. Aunque el recurso real fue traducido por personas, la siguiente descripción se tradujo del inglés original usando Google Translate para ayudar a los usuarios potenciales a decidir si se adapta a sus necesidades y puede contener errores gramaticales o lingüísticos. La descripción original en inglés también se proporciona a continuación.)

Después de que los estudiantes observaron, analizaron y clasificaran objetos por forma en categorías predeterminadas en el Módulo 2, ahora comparan y analizan la longitud, el peso, el volumen y, finalmente, el número en el módulo 3. El módulo respalda a los estudiantes la comprensión de las cantidades y sus Desarrollo de sentido de los números. El módulo culmina en una exploración de tres días, un día dedicado a cada atributo: longitud, peso y volumen.

Encuentre el resto de los recursos matemáticos de Engageny en https://archive.org/details/engageny-mathematics.

English Description:
After students observed, analyzed, and classified objects by shape into pre-determined categories in Module 2, they now compare and analyze length, weight, volume, and, finally, number in Module 3. The module supports students’ understanding of amounts and their developing number sense. The module culminates in a three-day exploration, one day devoted to each attribute: length, weight, and volume.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

(Nota: Esta es una traducción de un recurso educativo abierto creado por el Departamento de Educación del Estado de Nueva York (NYSED) como parte del proyecto "EngageNY" en 2013. Aunque el recurso real fue traducido por personas, la siguiente descripción se tradujo del inglés original usando Google Translate para ayudar a los usuarios potenciales a decidir si se adapta a sus necesidades y puede contener errores gramaticales o lingüísticos. La descripción original en inglés también se proporciona a continuación.)

En el módulo 1, la comprensión de los estudiantes de los patrones en el sistema Base Ten se extiende desde el trabajo de Grado 4 con el valor de lugar de números enteros y decimales de varios dígitos a centésimas hasta el lugar de milésimas. En el grado 5, los estudiantes profundizan su conocimiento a través de una comprensión más generalizada de las relaciones entre y entre los lugares adyacentes en la tabla de valor del lugar, por ejemplo, 1 décimo veces cualquier dígito en la tabla de valor del lugar lo mueve un valor de un lugar a la derecha. Hacia el final del módulo, los estudiantes aplican estos nuevos entendimientos, ya que razonan y realizan operaciones decimales a través del lugar de las centésimas.

Encuentre el resto de los recursos matemáticos de Engageny en https://archive.org/details/engageny-mathematics.

English Description:
In Module 1, students’ understanding of the patterns in the base ten system are extended from Grade 4’s work with place value of multi-digit whole numbers and decimals to hundredths to the thousandths place. In Grade 5, students deepen their knowledge through a more generalized understanding of the relationships between and among adjacent places on the place value chart, e.g., 1 tenth times any digit on the place value chart moves it one place value to the right. Toward the module’s end students apply these new understandings as they reason about and perform decimal operations through the hundredths place.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

This resource links to the full course (all 13 weeks of modules) on the Internet Archive. The video lectures for the courses are also available on YouTube at https://www.youtube.com/watch?v=maRP_Wvc4eY&list=PLWYwQdaelu4en5MZ0bbg-rSpcfb64O_rd

This series was designed and taught by Chris Belter, Ya-Ling Lu, and Candace Norton at the NIH Library. It was originally presented in weekly installments to NIH Library staff from January-May 2019 and adapted for web viewing later the same year.

The goal of the series is to provide free, on-demand training on how we do bibliometrics for research evaluation. Although demand for bibliometric indicators and analyses in research evaluation is growing, broadly available and easily accessible, training on how to provide those analyses is scarce. We have been providing bibliometric services for years, and we wanted to share our experience with others to facilitate the broader adoption of accurate and responsible bibliometric practice in research assessment. We hope this series acts as a springboard for others to get started with bibliometrics so that they feel more comfortable moving beyond this series on their own.

Navigating the Series
The training series consists of 13 individual courses, organized into 7 thematic areas. Links to each course in the series are provided on the left. Each course includes a training video with audio transcription, supplemental reading to reinforce the concepts introduced in the course, and optional practice exercises.

We recommend that the courses be viewed in the order in which they are listed. The courses are listed in the same order as the analyses that we typically perform to produce one of our standard reports. Many of the courses also build on concepts introduced in previous courses, and may be difficult to understand if viewed out of order. We also recommend that the series be taken over the course of 13 consecutive weeks, viewing one course per week. A lot is covered in these courses, so it is a good idea to take your time with them to make sure you understand each course before moving on to the next. We also recommend you try to complete the practice exercises that accompany many of the courses, because the best way to learn bibliometrics is by doing it.

Students learn about the scientific background of the Integrated Ocean Drilling Program, especially the critical role of international collaboration, and meet the chief scientists before joining the sea-going expedition. Students are presented with the principles of 3-D seismic imaging, data processing and interpretation while mapping and identifying the active faults that were the likely sources of devastating earthquakes and tsunamis in Japan in 1944 and 1948. They also learn about IODP drilling that began in 2007 and will extend through much of the next decade.
Teaching Tips
Adaptations that allow this activity to be successful in an online environment
It has always been in an online environment. It is self-contained with formative and summative assessment of student learning.
Elements of this activity that are most effective
Seismic interpretation and abstract - assessed by comparisons to other portions of completed assignment and other assignments in class.
Recommendations for other faculty adapting this activity to their own course:
Students need broadband access as it involves video, audio, and animations.

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Access and explore large datasets from the National Health and Nutrition Examination Survey (NHANES, 2003). Working with large datasets that emphasize exploration, finding patterns, and modeling is an essential first step in becoming fluent with data. This activity is a great place for students to start, since the dataset is straightforward and students can decide on the data they want to explore, including height, age, weight, and many other health-related attributes. Students begin by selecting and then investigating subsets of the dataset, for example, to find the cholesterol level of U.S. citizens. Then, working with their classmates or individually, students can try their own data science challenges, such as finding health trends in a subset of Americans by their household income, age, or marital status, etc.

Students work in teams to design a tabletop supply organizer inspired by the natural home of an insect species. Their prototype stores the group’s classroom supplies (scissors, crayon boxes, pencils, and glue sticks). In addition to following measurement constraints that apply to their prototype, students must design their supply organizer with the idea that supplies must be easily retrievable and the organizer must be sturdy enough to withstand everyday classroom wear and tear. Students test their prototype in the classroom for a period of 5 days and evaluate its effectiveness.

Nebraska standards that detail the essential knowledge and skills necessary for educators to effectively use data to inform instructional and programmatic decisions.

Students prepare for the exercise by reading about normal faults in the structural geology textbook. The class is divided into groups of 3-5 students. Each group is given two clear plastic shoe boxes, each of which has one end cut off so that one box slides lengthwise into the other box. Students are charged with running three extensional sandbox experiments during the class period, in which they fill the shoe box with sand having different physical properties (ex. grain size, clay content). The groups have access to materials (such as Saran plastic wrap) that can be used to line the boxes and provide different physical properties along the basal detachment. Students are assigned three main tasks: to explore a variety of physical parameters that may influence the characteristics of normal faults in analog models, to observe typical geometry and kinematics of normal fault development in an extensional setting, and to draw inferences and form hypotheses about the general controls on normal faulting. Students take notes on the conditions of each experiment, then write brief descriptions of geometric characteristics of the faults. They are asked to evaluate which observations appear to be repeatable from one experiment to another. After the groups have finished running experiments and taking notes, the class reassembles for an instructor-led brainstorming session. The instructor makes a list of student-generated observations, key parameters, and possible inferences on the board. The instructor leads the class in a discussion that addresses issues such as the key characteristics of normal faults, kinematics, mechanical principles, predictability of results, and the applications of analog models.

(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.)

Lesson plan to explore how snow crystals form, atmospheric conditions that influence crystal morphology. Makes connections crystals, snow density and water content

An investigation of changes in polar regions using Google Earth.

(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.)

To prepare for this assignment, the students read and discuss the article "Lying with Maps," which describes different ways to display quantitative attributes on maps, and argues (in part) that map authors need to be aware of whether they are appropriately representing their data through choices of symbols and colors. The students apply these ideas through making maps of three quantitative characteristics of New Jersey's population: total population, racial distribution, and age distribution. They summarize their efforts through a written description of their mapping choices to justify why they opted for certain symbology choices, and why they didn't choose other options.

Estimating nutrient loads is a critical concept for students studying water quality in a variety of environmental settings. Many of these students will be asked to assess the impacts of a proposed anthropogenic activities on human water resources and/or ecosystems as part of their future careers. This module has students explore factors contributing to the actual loads of nitrogen that are transmitted down streams. Nitrogen is a key water quality contaminant contributing to surface water quality issues in fresh, salt and estuarine environments. Students will utilize real-time nitrate data from the US Geological Survey to calculate nitrate loads for several locations and investigate the interplay of concentration and discharge that contributes to the calculated loads.

(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.)

Provenance: Used with permission from the Chesapeake Bay Program: https://www.chesapeakebay.net/
Reuse: If you wish to use this item outside this site in ways that exceed fair use (see http://fairuse.stanford.edu/) you must seek permission from its creator.
The Chesapeake Bay waters receive input from rivers and streams from areas of Washington D.C, Maryland, Delaware, Virginia, West Virginia, and some parts of New York and Pennsylvania. Historically, humongous amounts of water pollution from nutrients discharged from these locations have reportedly occurred in the waters of the Chesapeake Bay region, such that it was entered into the list of the "Clean Water Act Section 303(d): Impaired Waters and Total Maximum Daily Loads (TMDLs)," compiled by the EPA. Water impairment occurs when a lake, river, or stream fails to meet specific water quality standards, according to its classification and intended use.
According to the Chesapeake Bay Program, established in 1983 to reduce pollution and restore the ecosystem, "Plants and animals need nutrients to survive. But when too many nutrients enter waterways, they fuel the growth of algae blooms and create conditions that are harmful to underwater life." Source: Chesapeake Bay Program: Learn the Issues.

Based on the College and Career Readiness Standards in Action- 25% of higher level math instruction should be spent on Algebra and Functions. This includes Interpreting quadratic equations, using their structure to rewrite them in equivalent forms which serve a purpose. Also creating and solving quadratic equations to solve problems, both algebraically and graphically. They are to be able to re-arrange formulas involving quadratics and highligh specific quantities. (Guide to Effectively Managing Higher-Level Content Standards in Mathematics.)The amount of OER material available to assist instruction in higher level EFL math for adults is numerous, but searching for it often gets one tangled in the pedigogical instruction, with simplistic "real-life" examples, whereas adults with REAL "real-life" experience can appreciate the topics applied to broader world examples. This curriculum guide will give suggestions  for pre-lesson activities to stimulate prior knowledge, walk you through a lesson example, and hopefully whet your appetite for using OER's in your regular instruction. 

Data modeling activity using oil reserve and consumption data. Students predict when oil reserves meet or exceed reserves.

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Students use the height and radius of Olympus Mons to estimate its volume. They then propose a method to estimate the volume of lava that has erupted over from the Hawaiian hotspot over time. I then show them a graph of the cumulative volcanic volume as a function of distance from Kilauea (from Clague and Dalrymple). They compare these volumes and also consider the possibility that some of the lava erupted from the Hawaiian hotspot has been subducted.

(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.)

Lesson on OpenRefine for social scientists. A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the data are identifed and corrected or formatting made consistent. This step must be taken with the same care and attention to reproducibility as the analysis. OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.

This lesson unit is intended to help teachers assess how well students are able to: interpret a situation and represent the constraints and variables mathematically; select appropriate mathematical methods to use; explore the effects of systematically varying the constraints; interpret and evaluate the data generated and identify the optimum case, checking it for confirmation; and communicate their reasoning clearly.

This exercise is based on recent crystallographic research on the olivine crystal structure published by Redfern et al. (2000). The authors of this study synthesized Fa50 olivine olivine (MgFeSiO4) in an experimental apparatus at temperatures ranging from 100 to 1250 °C, quenched the experiments, and used in situ neutron powder diffraction techniques to investigate changes in the synthesized olivines as a function of temperature. While this study reports cutting-edge materials research carried out with the latest crystallographic techniques, the results are educationally instructive and illustrate important concepts normally covered in an undergraduate mineralogy course.

In this exercise, students are guided into the American Mineralogist Crystal Structure Database to retrieve and download published crystal structure data for viewing in either the CrystalMaker or XtalDraw visualization software packages. The students are instructed on how to manipulate the structures and are asked to plot some of the crystallographic data from this study on graphs using a spreadsheet program such as Excel.

(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.)