In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. Students develop a set of tools for understanding and interpreting variability in data, and begin to make more informed decisions from data. They work with data distributions of various shapes, centers, and spreads. Students build on their experience with bivariate quantitative data from Grade 8. This module sets the stage for more extensive work with sampling and inference in later grades.

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

Please find the full 44 page resource attached.  The resource includes:15 Projects for any novel that revolve around:character traitsgenreplotthemesetting and moodvocabularyProjects include:notesprintable activitiesgraphic oganizersteachable videosThinklinkScratch codingbook tastingSoundtrap music makerand more! 

Students explore the theme of conflict in literature. They learn the difference between internal and external conflict and various types of conflicts, including self against self, self against other, and self against nature or machine. Stories are used to discuss methods of managing and resolving conflict and interpersonal friction. Note: The literacy activities for the Mechanics unit are based on physical themes that have broad application to our experience in the world — concepts of rhythm, balance, spin, gravity, levity, inertia, momentum, friction, stress and tension.

"Callysto is a free, multimodal learning program for grades 5-12 students in Canada. The program is part of a two-year pilot project by Cybera and the Pacific Institute for Mathematical Sciences (PIMS), who received funding from the federal government’s CanCode program to build and employ new technologies that promote digital literacy and help Canada’s youth develop the foundational skills required to become the future drivers of innovation."

Learning modules are available for Math, ELA, Science, Social, etc.
Click RESOURCES then select - learning modules, lesson plans, Indigenous content, data, computational thinking, problem solving.
Use the "bubbles" to filter to the subject.

Click GET STARTED to find the teacher starter kit and free full courses on computing science 10, AI, computational thinking, data science.

"Pixar in a Box is a behind-the-scenes look at how Pixar artists do their jobs.

You will be able to animate bouncing balls, build a swarm of robots, and make virtual fireworks explode.

The subjects you learn in school — math, science, computer science, and humanities — are used every day to create amazing movies at Pixar.

This collaboration between Pixar Animation Studios and Khan Academy is sponsored by Disney. If you have questions or ideas, email us at piab@khanacademy.org."

Student groups use a "real" 3D coordinate system to plot points in space. Made from balsa wood or wooden dowels, the system has three axes at right angles and a plane (the XY plane) that can slide up and down the Z axis. Students are given several coordinates and asked to find these points in space. Then they find the coordinates of the eight corners of a box/cube with given dimensions.

Students learn that the plot structure described by Freytag's Pyramid is actually quite familiar as they diagram the plots of a familiar story, a television show, and a narrative poem.

Students learn about ultrasound and how it can be used to determine the shapes and contours of unseen objects. Using a one-dimensional ultrasound imaging device (either prepared by the teacher or put together by the students) that incorporates a LEGO(TM) MINDSTORMS(TM) NXT intelligent brick and ultrasonic sensor, they measure and plot the shape of an unknown object covered by a box. Looking at the plotted data, they make inferences about the shape of the object and guess what it is. Students also learn how engineers use high-frequency waves in the design of medical imaging devices, the analysis of materials and oceanographic exploration. Pre/post quizzes, a worksheet and a LEGO rbt program are provided.

(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 este módulo, los estudiantes reconectan y profundizan su comprensión de las estadísticas y los conceptos de probabilidad introducidos por primera vez en los grados 6, 7 y 8. Los estudiantes desarrollan un conjunto de herramientas para comprender e interpretar la variabilidad en los datos, y comienzan a tomar decisiones más informadas de los datos . Trabajan con distribuciones de datos de varias formas, centros y diferenciales. Los estudiantes se basan en su experiencia con datos cuantitativos bivariados del grado 8. Este módulo prepara el escenario para un trabajo más extenso con muestreo e inferencia en calificaciones posteriores.

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

English Description:
In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. Students develop a set of tools for understanding and interpreting variability in data, and begin to make more informed decisions from data. They work with data distributions of various shapes, centers, and spreads. Students build on their experience with bivariate quantitative data from Grade 8. This module sets the stage for more extensive work with sampling and inference in later grades.

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