Monitor the temperature of a melting ice cube and use temperature probes to electronically plot the data on graphs. Investigate what temperature the ice is as it melts in addition to monitoring the temperature of liquid the ice is submerged in.

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; make sensible estimates and assumptions; investigate an exponentially increasing sequence; and communicate their reasoning clearly.

Study the motion of a toy car on a ramp and use motion sensors to digitally graph the position data and then analyze it. Make predictions about what the graphs will look like, and consider what the corresponding velocity graphs would look like.

(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 3, la comprensión de los estudiantes de la adición y la resta de las fracciones se extiende desde el trabajo anterior con equivalencia de fracción y decimales. Este módulo marca un cambio significativo lejos de la centralidad de los grados elementales de las diez unidades de base al estudio y el uso del conjunto completo de unidades fraccionarias desde el avance de grado 5, especialmente como se aplica al álgebra.

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

English Description:
In Module 3, students' understanding of addition and subtraction of fractions extends from earlier work with fraction equivalence and decimals. This module marks a significant shift away from the elementary grades' centrality of base ten units to the study and use of the full set of fractional units from Grade 5 forward, especially as applied to algebra.

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

Each student becomes an expert on a natural disaster, investigating and discovering how they can prepare for it. Students initially create traditional motivational posters using paper, pencils, markers, and crayons. Then, students create an electronic version to motivate others to prepare for natural disasters. Next, students create storyboards/scripts and digital stories on a natural disaster of their choosing to inform others of ways to prepare for natural disasters. This lesson was created as part of a collaboration between Alabama Technology in Motion and ALEX.

Using new knowledge acquired in the associated lesson, students program LEGO MINDSTORMS(TM) NXT robots to go through a maze using movement blocks. The maze is created on the classroom floor with cardboard boxes as its walls. Student pairs follow the steps of the engineering design process to brainstorm, design and test programs to success. Through this activity, students understand how to create and test a basic program. A PowerPoint® presentation, pre/post quizzes and worksheet are provided.

The digital age has created the need for a new kind of literacy-a literacy that empowers news consumers to determine whether information is credible, reliable and truthful. This is not just a skill; it is a new core competency for the 21st century. So-called “fake news” is hard to spot and spreads easily, leading to disagreements over basic facts. The antidote to the growing challenges posed by this digital revolution is news literacy. This mini news literacy course includes two three-hour sessions that will teach anyone to become a more critical consumer of news.

The purpose of this resource is to help students understand the connection between remote sensing, computer imagery, and land cover assessment. Students translate their maps created in the beginning activity into digital code and exchange the digitized versions of their maps with students in another school.

Open Educational Resources are teaching, learning and research materials in any medium – digital or otherwise – that reside in the public domain or have been released under an open license that permits no-cost access, use, adaptation and redistribution by others with no or limited restrictions.

Take a breath — where does the oxygen you inhaled come from? In our changing world, will we always have enough oxygen? What is in water that supports life? What is known? How do we know what we know about our vast oceans? These are just a few of the driving questions explored in this interactive STEAM high school curriculum module.

Students in marine science, environmental science, physics, chemistry, biology, integrated science, biotechnology and/or STEAM courses can use this curriculum module in order to use real-world, big data to investigate how our “invisible forest” influences ocean and Earth systems. Students build an art project to represent their new understanding and share this with the broader community.

This 4-week set of lessons is based on the oceanographic research of Dr. Anne Thompson of Portland State University in Oregon, which focuses on the abundant ocean phytoplankton Prochlorococcus. These interdisciplinary STEAM lessons were inspired by Dr. Thompson’s lab and fieldwork as well as many beautiful visualizations of Prochlorococcus, the ocean, and Earth. Students learn about the impact and importance of Prochlorococcus as the smallest and most abundant photosynthetic organism on our planet. Through the lessons, students act as both scientists and artists as they explore where breathable oxygen comes from and consider how to communicate the importance of tiny cells to human survival.

This module is written as a phenomenon-based, Next Generation Science Standards (NGSS) three-dimensional learning unit. Each of the lessons below also has an integrated, optional Project-Based Learning component that guides students as they complete the PBL process. Students learn to model a system and also design and evaluate questions to investigate phenomena. Students ultimately learn what is in a drop of ocean water and showcase how their drop contributes to our health and the stability and dynamics of global systems.

There are many who believe that "less is more" when it comes to using technology. This is the heart of the debate around recording vocals in music: how much manipulation is too much? If recording engineers and producers can use computers and software to digitally alter a vocal track, what happens to the original voice, and what role does talent play? To many, there is a fine line between the "perfection"that can be achieved with technology and the experience of "authenticity" in a recorded vocal performance. This lesson explores the ways in which music technology can enhance a singer's performance. It also considers the listener's interest in hearing the "authenticity" of a vocal performance. Either way, the heart of most popular music is the same, important center: the human voice.

These are course materials for Heinz College's Policy Innovation Lab. Questions and / or comments about these materials should be directed to Chris Goranson (cgoranso@andrew.cmu.edu). These materials are provided in support of the PIT-UN initiative and related work.

THE PATTERNS APPROACH
The Patterns Approach to science instruction emphasizes the use of mathematical and phenomenological patterns to predict the future and understand the past. Students construct science knowledge by making an initial “wild-guess”, asking questions, planning and conducting experiments, collecting data, finding a mathematical model that fits their data, explaining the phenomenon based on that model, then finally making a data-informed prediction. Harnessing their own experiences, students compare and contrast low-evidence predictions (wild guesses) to their data-informed prediction to live the experience and learn the value of evidence-based reasoning. Additionally, students engage in several engineering projects in each course, where they must use the Patterns they discover in their designs to optimize their solutions. The Patterns Approach utilizes technology, student-constructed knowledge, frequent opportunities for student talk, and language supports to ensure the engagement and success of every student. By emphasizing, rather than removing, the mathematical connections to science, the Patterns Approach supports student conceptual understanding by connecting real-world inquiry experiences, graphical representations, and mathematical representations of science phenomena.

With special contributions by Betty Bayer, Henry Grob, Sara Rasmussen, Dinesh Rathi, Stephanie Shallcross, and Vandana Singh.

Digital technologies old and new are not objects that can be packed inside a box. They are a seamless, indivisible combination of people, organizations, policies, economies, histories, cultures, knowledge, and material things that are continuously shaped and reshaped. Every one of us innovates-in-use our everyday technologies, we just do not always know it. Not only are we shaped by the networked information tools in our midst, but we shape them and thereby shape others. For us to advance individual agency across diverse community knowledge and cultural wealth within the fabric of communities, we need to nurture our cognitive, socio-emotional, information, and progressive community engagement skills along with, and sometimes in advance of, our technical skills which then serve as just-in-time in-fill learning. This is the call placed by Rev. Dr. Martin Luther King, Jr. – to rapidly shift from a ‘thing-oriented’ society to a ‘person-oriented’ society.

In support of this shift, each session of the book begins first with a social chapter with background knowledge probe, conceptual introductions, and a lesson plan for the session. A technical chapter follows with technical introductions and hands-on activities, and a concluding wrap up and comprehension check. The technical of the Orange Unit especially focuses on electronics and physical computer components; the Blue Unit highlights software through a series of introductory programming activities, with possibilities for alternate pathways for those who bring in some existing programming experience; the Rainbow Unit then brings the hardware and software together into networked systems, concluding with a final design adventure.

Students learn about pixels in this Moveable Museum unit, in which they decode a simple digital image from a string of numbers. The eight-page PDF guide includes suggested general background readings for educators, activity notes, step-by-step directions, and activity handouts. There are two versions of the activity, one for Grades K-3 and one for Grades 4-8 Version.

What do plants eat? This unit explores plants and how they make food.

In this unit, students learn the very basics of navigation, including the different kinds of navigation and their purposes. The concepts of relative and absolute location, latitude, longitude and cardinal directions are explored, as well as the use and principles of maps and a compass. Students discover the history of navigation and learn the importance of math and how it ties into navigational techniques. Understanding how trilateration can determine one's location leads to a lesson on the global positioning system and how to use a GPS receiver. The unit concludes with an overview of orbits and spacecraft trajectories from Earth to other planets.

Using Avida-ED freeware, students control a few factors in an environment populated with digital organisms, and then compare how changing these factors affects population growth. They experiment by altering the environment size (similar to what is called carrying capacity, the maximum population size that an environment can normally sustain), the initial organism gestation rate, and the availability of resources. How systems function often depends on many different factors. By altering these factors one at a time, and observing the results, students are able to clearly see the effect of each one.

Students follow the steps of the engineering design process while learning more about assistive devices and biomedical engineering applied to basic structural engineering concepts. Their engineering challenge is to design, build and test small-scale portable wheelchair ramp prototypes for fictional clients. They identify suitable materials and demonstrate two methods of representing design solutions (scale drawings and simple models or classroom prototypes). Students test the ramp prototypes using a weighted bucket; successful prototypes meet all the student-generated design requirements, including support of a predetermined weight.

Data Carpentry Genomics workshop lesson to learn how to structure your metadata, organize and document your genomics data and bioinformatics workflow, and access data on the NCBI sequence read archive (SRA) database. Good data organization is the foundation of any research project. It not only sets you up well for an analysis, but it also makes it easier to come back to the project later and share with collaborators, including your most important collaborator - future you. Organizing a project that includes sequencing involves many components. There’s the experimental setup and conditions metadata, measurements of experimental parameters, sequencing preparation and sample information, the sequences themselves and the files and workflow of any bioinformatics analysis. So much of the information of a sequencing project is digital, and we need to keep track of our digital records in the same way we have a lab notebook and sample freezer. In this lesson, we’ll go through the project organization and documentation that will make an efficient bioinformatics workflow possible. Not only will this make you a more effective bioinformatics researcher, it also prepares your data and project for publication, as grant agencies and publishers increasingly require this information. In this lesson, we’ll be using data from a study of experimental evolution using E. coli. More information about this dataset is available here. In this study there are several types of files: Spreadsheet data from the experiment that tracks the strains and their phenotype over time Spreadsheet data with information on the samples that were sequenced - the names of the samples, how they were prepared and the sequencing conditions The sequence data Throughout the analysis, we’ll also generate files from the steps in the bioinformatics pipeline and documentation on the tools and parameters that we used. In this lesson you will learn: How to structure your metadata, tabular data and information about the experiment. The metadata is the information about the experiment and the samples you’re sequencing. How to prepare for, understand, organize and store the sequencing data that comes back from the sequencing center How to access and download publicly available data that may need to be used in your bioinformatics analysis The concepts of organizing the files and documenting the workflow of your bioinformatics analysis