This unit focuses on the diversity of life at Hartje School Forest and centers around NGSS Standards on Ecosystem Interactions, Energy and Dynamics. Field experiences in observing and recording the diversity of life, seed dispersal methods, plant pollination, and plant life cycles will support science disciplinary core ideas, cross-cutting concepts, and hands-on engineering practices.

Building on a collaborative staff culture, teachers presented their SLOs with colleagues for feedback and to find common themes in instructional practices. Professional Learning Communities (PLCs) shifted their focus from teaching to student learning as a result of increased data literacy skills across staff. It has become a mission of the Grant Elementary staff to continue to address individual student needs to ensure all students are showing growth and achievement.  Read more about these practices in the module. 

" In analyzing fiscal issues, conventional public finance approaches focus mainly on taxation and public spending. Policymakers and practitioners rarely explore solutions by examining the fundamental problem: the failure of interested parties to act collectively to internalize the positive externalities generated by public goods. Public finance is merely one of many possible institutional arrangements for assigning the rights and responsibilities to public goods consumption. This system is currently under stress because of the financial crisis. The first part of the class will focus on collective action and its connection with local public finance. The second part will explore alternative institutional arrangements for mediating collective action problems associated with the provision of local public goods. The objective of the seminar is to broaden the discussion of local public finance by incorporating collective action problems into the discourse. This inclusion aims at exploring alternative institutional arrangements for financing local public services in the face of severe economic downturn. Applications of emerging ideas to the provision of public health, education, and natural resource conservation will be discussed."

In this simulation of a doctor's office, students play the roles of physician, nurse, patients, and time-keeper, with the objective to improve the patient waiting time. They collect and graph data as part of their analysis. This serves as a hands-on example of using engineering principles and engineering design approaches (such as models and simulations) to research, analyze, test and improve processes.

Students use their senses to describe what the weather is doing and predict what it might do next. After gaining a basic understanding of weather patterns, students act as state park engineers and design/build "backyard weather stations" to gather data to make actual weather forecasts.

Students investigate different balls' abilities to bounce and represent the data they collect graphically.

The consideration of cord length is very important in a bungee jump‰ŰÓtoo short, and the jumper doesn't get much of a thrill; too long, and ouch! In this lesson, students model a bungee jump using a Barbieĺ¨ doll and rubber bands. The distance to which the doll will fall is directly proportional to the number of rubber bands, so this context is used to examine linear functions.

Describes the types of rocks found throughout the state by age and explains how to interpret the accompanying cross section.

This article provides a brief discussion of the importance of teaching students to analyze data and representations of data as well as two resources that can help teachers implement these strategies into their instruction.

This activity lesson plan is called “Build a Better Wall” where students are planners and constructors who are trying to construct a wall using various materials that can withstand an earthquake.

These lesson plans are available for a variety of grade levels and subject areas. Plans are modular and contain both UnPlugged Activities and hands-on code-alongs that promote and reinforce computational thinking.

This is a Wisconsin-based case study with data on how the size and distance of an island from the mainland can affect the number of different types of carnivores found on the island (Species Richness). Students are asked to graph data collected from the Apostle Islands and make a claim evidence and reasoning statement supported by data.

This resource has been reviewed using the HQIM rubric https://docs.google.com/spreadsheets/d/1P6wGNGU0PZwuiwOe0AohGZUL07YU7zZc7MOdaUbYeAY/edit?usp=sharing

Students are introduced to the "Walk the Line" challenge question. They write journal responses to the question and brainstorm what information they need to answer the question. Ideas are shared with the class (or in pairs and then to the class, if class size is large). Then students read an interview with an engineer to gain a professional perspective on linear data sets and best-fit lines. Students brainstorm for additional ideas and add them to the list. With the teacher's guidance, students organize the ideas into logical categories of needed knowledge.

Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom textbook collection has been modified by R. Bloom for her classes at De Anza College; the homework content for the custom collection is now contained in a separate homework collection.

This is a custom collection (by R. Bloom) of homework and review problems to accompany Collaborative Statistics textbook custom collection by R. Bloom. Content is derived from Collaborative Statistics written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook by S. Dean and B. Illowsky was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom version of their collection has been modified by R. Bloom for her classes at De Anza College.

Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, and linear and nonlinear optimization. Computer spreadsheet exercises and examples drawn from marketing, finance, operations management, and other management functions. Restricted to Sloan Fellows.

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

Dane County's abundant surface water resources are monitored and assessed primarily by the Wisconsin Department of Natural Resources (WDNR). Major streams and lakes are classified into categories based on the aquatic organisms present. These classifications provide an indication of water quality and fishery conditions.

Agricultural and urban land uses contribute to nutrient rich runoff reaching surface waters. Impervious surfaces and removal of wetlands also increases the flow of stormwater to local waterways. Explore issues facing our surface water and see maps of degraded water resources.

Effective water quality planning depends on long-term assessment and monitoring. The Capital Area Regional Planning Commission uses long-term datasets to evaluate regional trends.

Learn about practices meant to protect the region's streams, shorelands, and lakes.

Dane County
Land and Water Resources Viewer: An interactive county map showing watershed boundaries, thermally sensitive areas, cold water communities and more.

Meet the Data Decoders—a team of scientists at the Solís-Lemus Lab who use math and computers to interpret huge amounts of data from biological experiments.

Resources available for learning about this lab include:
• Interactive cards designed to introduce students to scientists in a more personal way
• A video with a personal story that explains why the lab's research matters in real life
• Questions to consider that will spark connection, reflection, and conversation
• An interactive video experience where you can ask questions of scientists in the lab and learn about their research
• An inquiry-based activity that focuses on doing science, using some of the same science practices that the lab uses
• An educator guide with information about standards alignment, curriculum connections, and tips for using the media resources

These resources are part of Meet the Lab, a collection of educational resources for middle school science classrooms.

This Data set and graphs show the Deer harvest each year (1960-present) in Wisconsin for both the state and for each county.