Teaching Data 

> Bring data science into your classroom (today).

Modules for your math class. Data education software. Open-source, year-long courses.

There are already a variety of resources for teachers who want to implement data science in the classroom today—and a lot more is coming. Our coalition partners are actively working to create more, including lesson plans, interactive textbooks, and tools for finding ready-to-use datasets. Don't see what you're looking for quite yet? Check back often. And follow us on social media for the latest updates. 

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Introduction to Data Science (IDS) Curriculum teaches students to reason with, and think critically about, data in all forms. The Common Core State Standards (CCSS) for High School Statistics and Probability relevant to data science are taught along with the data demands of good citizenship in the 21st century. Additionally, IDS provides access to rigorous learning that fuses mathematics with computer science through the use of R/RStudio, an open-source programming language/environment that has long been the standard for academic statisticians and analysts in industry. IDS is a “c”-approved mathematics course in the University of California A-G requirements.

Introduction to Data Science (IDS)

Introduction to Data Science (IDS) Curriculum teaches students to reason with, and think critically about, data in all forms. The Common Core State Standards (CCSS) for High School Statistics and Probability relevant to data science are taught along with the data demands of good citizenship in the 21st century. Additionally, IDS provides access to rigorous learning that fuses mathematics with computer science through the use of R/RStudio, an open-source programming language/environment that has long been the standard for academic statisticians and analysts in industry. IDS is a “c”-approved mathematics course in the University of California A-G requirements.

Activities, Full Course, Lesson Plans, Professional Development

Grade Level:

9-12

CODAP (Common Online Data Analysis Program) is free educational software for data analysis created by the Concord Consortium. This web-based data science tool is designed as a platform for developers and as an application for students in grades 6-14.

CODAP Software

CODAP (Common Online Data Analysis Program) is free educational software for data analysis created by the Concord Consortium. This web-based data science tool is designed as a platform for developers and as an application for students in grades 6-14.

Software

Grade Level:

All, K-5, 6-8, 9-12

We’re working with a game developer from Eeps Media and a learning science researcher from the University of California at Berkeley to create a suite of games for high school science classes, so students can experience the excitement of data science. All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.

Data Science Games (Concord Consortium)

We’re working with a game developer from Eeps Media and a learning science researcher from the University of California at Berkeley to create a suite of games for high school science classes, so students can experience the excitement of data science. All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.

Activities, Lesson Plans

Grade Level:

All, K-5, 6-8, 9-12

We provide all of the our materials free of charge, to anyone who is interested in using our lesson plans or student workbooks. We work hard to provide a "curriculum-in-a-box" experience, but a curriculum based on 20 years’ research has a lot of moving parts! Courses and modules include: Algebra, Data Science, Reactive (Trigonometry + Algorithms), and Physics.

Bootstrap Courses

We provide all of the our materials free of charge, to anyone who is interested in using our lesson plans or student workbooks. We work hard to provide a "curriculum-in-a-box" experience, but a curriculum based on 20 years’ research has a lot of moving parts! Courses and modules include: Algebra, Data Science, Reactive (Trigonometry + Algorithms), and Physics.

Full Course, Lesson Plans, Modules, Workbooks

Grade Level:

All, K-5, 6-8, 9-12

To prepare learners adequately and succeed as an educational reform, a fundamental shift is needed when it comes to the standards and competencies students are taught. However, we need to build a common definition of data science in K-12. What should be taught to students in K-12 education? What competencies will produce individuals who are data literate when they graduate from grade 12? These difficult questions require multiple communities to come together and address current roadblocks. See the resources below to learn more.

Data Science (youcubed)

To prepare learners adequately and succeed as an educational reform, a fundamental shift is needed when it comes to the standards and competencies students are taught. However, we need to build a common definition of data science in K-12. What should be taught to students in K-12 education? What competencies will produce individuals who are data literate when they graduate from grade 12? These difficult questions require multiple communities to come together and address current roadblocks. See the resources below to learn more.

Activities

Grade Level:

All

Wolfram|Alpha is a unique engine for computing answers and providing knowledge. It works by using its vast store of expert-level knowledge and algorithms to automatically answer questions, do analysis and generate reports. Use of the base software is free.

Wolfram Alpha

Wolfram|Alpha is a unique engine for computing answers and providing knowledge. It works by using its vast store of expert-level knowledge and algorithms to automatically answer questions, do analysis and generate reports. Use of the base software is free.

Software

Grade Level:

All, 6-8, 9-12

Instead of lectures and cookbook experiments with known outcomes, science education should be more authentic and more like contemporary science. A new generation of inexpensive technology can bring this goal closer to reality in K-12 education. These technologies are exemplified by the intelligent objects that constitute the “Internet of Things” (IoT). The InSPECT project forges new directions in science learning by integrating novel technologies and computational thinking practices into curricular activities that allow high school students to undertake authentic and independent science investigations in biology. Using inexpensive smart interfaces to create systems with sensors and actuators, InSPECT aims to make scientific inquiry more engaging and accessible.

InSPECT (Concord Consortium)

Instead of lectures and cookbook experiments with known outcomes, science education should be more authentic and more like contemporary science. A new generation of inexpensive technology can bring this goal closer to reality in K-12 education. These technologies are exemplified by the intelligent objects that constitute the “Internet of Things” (IoT). The InSPECT project forges new directions in science learning by integrating novel technologies and computational thinking practices into curricular activities that allow high school students to undertake authentic and independent science investigations in biology. Using inexpensive smart interfaces to create systems with sensors and actuators, InSPECT aims to make scientific inquiry more engaging and accessible.

Activities, Lesson Plans

Grade Level:

All, K-5, 6-8, 9-12

While we build CBM materials for you to try, here are a number of related activities that aren't CBM but will give a flavour of the technology and activities available in CBM lessons. As an individual educator, you have many constraints on changes you can bring in: assessments, curricula and indeed expectations of parents and other teachers who may not understand the CBM vision yet. We are working to make the case top-down for these changes around the world, but we can still help you in two ways today: 1) by helping you to get the vision, so that you can make evolutionary or more radical changes in your lessons; 2) by giving you as many supplementary activities as we can, as we develop them. Submit ideas for new modules, encourage others to join up and tell us how it's going.

CBM Resources Page

While we build CBM materials for you to try, here are a number of related activities that aren't CBM but will give a flavour of the technology and activities available in CBM lessons. As an individual educator, you have many constraints on changes you can bring in: assessments, curricula and indeed expectations of parents and other teachers who may not understand the CBM vision yet. We are working to make the case top-down for these changes around the world, but we can still help you in two ways today: 1) by helping you to get the vision, so that you can make evolutionary or more radical changes in your lessons; 2) by giving you as many supplementary activities as we can, as we develop them. Submit ideas for new modules, encourage others to join up and tell us how it's going.

Activities, Lesson Plans

Grade Level:

All

Coming Soon: We are currently making a new online course that is designed to help anyone teach – and learn – with a 21st century approach to knowledge and teaching.  Part of the course will share really important evidence we now have about the working of the brain, that is meaningful for all subjects and ages and lives. We will also be thinking together about the data filled world we now live in, to prepare students for their future in a world of data. We will be thinking about what it means to teach with a data science perspective, and to learn data science, whether you are a kindergarten teacher or a high school history teacher or someone curious about data science.

21st Century Teaching and Learning (youcubed)

Coming Soon: We are currently making a new online course that is designed to help anyone teach – and learn – with a 21st century approach to knowledge and teaching. Part of the course will share really important evidence we now have about the working of the brain, that is meaningful for all subjects and ages and lives. We will also be thinking together about the data filled world we now live in, to prepare students for their future in a world of data. We will be thinking about what it means to teach with a data science perspective, and to learn data science, whether you are a kindergarten teacher or a high school history teacher or someone curious about data science.

Professional Development

Grade Level:

All

In a Bootstrap workshop, you will: 1) Experience the entire Bootstrap curriculum 2) Explore the research 3) Learn about pedagogy, content and integration with other subjects You'll work with your peers to discuss content, pedagogy, and spend the day in your students' shoes. You'll have a chance to try activities from every single Bootstrap class. You'll be able to debrief with other teachers, talk pedagogy with the trainers, and try out the materials and software firsthand. And finally, you'll go home with a complete final project that you created.

Bootstrap Workshops

In a Bootstrap workshop, you will: 1) Experience the entire Bootstrap curriculum 2) Explore the research 3) Learn about pedagogy, content and integration with other subjects You'll work with your peers to discuss content, pedagogy, and spend the day in your students' shoes. You'll have a chance to try activities from every single Bootstrap class. You'll be able to debrief with other teachers, talk pedagogy with the trainers, and try out the materials and software firsthand. And finally, you'll go home with a complete final project that you created.

Professional Development

Grade Level:

All, K-5, 6-8, 9-12

The Modeling Hub is funded by the Consortium for Mathematics and its Applications (COMAP), National Council of Teachers of Mathematics (NCTM), and Society for Industrial and Applied Mathematics (SIAM). View sample mathematical modeling problems including lesson plans and setup, learning goals, and student templates. The Modeling Hub was developed by the Harvey Mudd College IMMERSION Development Group led by Rachel Levy. The IMMERSION project is a NSF-funded effort to bring mathematical modeling to K-12 classrooms. It is a collaboration between three colleges and unified school districts: George Mason University and Fairfax County Public Schools, Harvey Mudd College and Pomona Unified School District, and Montana State University and Bozeman School District.

Math Modelling Hub

The Modeling Hub is funded by the Consortium for Mathematics and its Applications (COMAP), National Council of Teachers of Mathematics (NCTM), and Society for Industrial and Applied Mathematics (SIAM). View sample mathematical modeling problems including lesson plans and setup, learning goals, and student templates. The Modeling Hub was developed by the Harvey Mudd College IMMERSION Development Group led by Rachel Levy. The IMMERSION project is a NSF-funded effort to bring mathematical modeling to K-12 classrooms. It is a collaboration between three colleges and unified school districts: George Mason University and Fairfax County Public Schools, Harvey Mudd College and Pomona Unified School District, and Montana State University and Bozeman School District.

Activities, Lesson Plans

Grade Level:

All, K-5, 6-8, 9-12

Modeling Our World with Mathematics (MOWWM) is a modularly-designed mathematics course developed locally by OSPI with input from educators across Washington, and is designed to follow Geometry.  It contains career-connected thematic units where students use high school mathematics to analyze everyday life and work.

OSPI Modeling Our World with Mathematics

Modeling Our World with Mathematics (MOWWM) is a modularly-designed mathematics course developed locally by OSPI with input from educators across Washington, and is designed to follow Geometry. It contains career-connected thematic units where students use high school mathematics to analyze everyday life and work.

Full Course, Modules

Grade Level:

9-12

Coming Soon: Data Science, SIAM’s newest book series, covers the mathematical, computational, and scientific aspects of data science. The series will publish high-impact research monographs, in-depth essays on emerging trends, tutorials with a broad reach, state-of-the-art surveys, scholarly research retrospectives, and textbooks.

SIAM Data Science Book Series

Coming Soon: Data Science, SIAM’s newest book series, covers the mathematical, computational, and scientific aspects of data science. The series will publish high-impact research monographs, in-depth essays on emerging trends, tutorials with a broad reach, state-of-the-art surveys, scholarly research retrospectives, and textbooks.

Textbook

Grade Level:

9-12

Guidelines for Assessment and Instruction in Mathematical Modeling Education (GAIMME) Second Edition, a freely downloadable report, enables the modeling process to be understood as part of STEM studies and research, and taught as a basic tool for problem solving and logical thinking. GAIMME helps define core competencies to include in student experiences, and provides direction to enhance mathematical modeling education at all levels. The second edition includes changes primarily to the “Early and Middle Grades (K–8)” chapter.

GAIMME Report

Guidelines for Assessment and Instruction in Mathematical Modeling Education (GAIMME) Second Edition, a freely downloadable report, enables the modeling process to be understood as part of STEM studies and research, and taught as a basic tool for problem solving and logical thinking. GAIMME helps define core competencies to include in student experiences, and provides direction to enhance mathematical modeling education at all levels. The second edition includes changes primarily to the “Early and Middle Grades (K–8)” chapter.

Professional Development

Grade Level:

All, 9-12

Connector courses weave together core concepts and approaches from Data 8 with complementary ideas or areas. Along the way, students gain additional experience, broader insights, or deeper theoretical or computational foundations.   Offered by faculty across many departments and fields of study, connectors are optional but highly encouraged and are designed to be taken at the same time or after the Foundations course. They offer two or more units of course credit. Data 8 and connectors complement each other and often use similar materials or tools.

U.C. Berkeley Connectors

Connector courses weave together core concepts and approaches from Data 8 with complementary ideas or areas. Along the way, students gain additional experience, broader insights, or deeper theoretical or computational foundations. Offered by faculty across many departments and fields of study, connectors are optional but highly encouraged and are designed to be taken at the same time or after the Foundations course. They offer two or more units of course credit. Data 8 and connectors complement each other and often use similar materials or tools.

Example College Course

Grade Level:

College

The Guidelines for Assessment and Instruction in Statistics Education (GAISE) are a framework for statistics education in grades Pre-K–12 published by the American Statistical Association (ASA) in 2007. The foundations for this framework are the Principles and Standards for School Mathematics published by the National Council of Teachers of Mathematics (NCTM) in 2000. The GAISE document provides a two-dimensional framework, specifying four components used in statistical problem solving (formulating questions, collecting data, analyzing data, and interpreting results) and three levels of conceptual understanding through which a student should progress (Levels A, B, and C). A student's level of statistical maturity is based on experience rather than age.

GAISE Report

The Guidelines for Assessment and Instruction in Statistics Education (GAISE) are a framework for statistics education in grades Pre-K–12 published by the American Statistical Association (ASA) in 2007. The foundations for this framework are the Principles and Standards for School Mathematics published by the National Council of Teachers of Mathematics (NCTM) in 2000. The GAISE document provides a two-dimensional framework, specifying four components used in statistical problem solving (formulating questions, collecting data, analyzing data, and interpreting results) and three levels of conceptual understanding through which a student should progress (Levels A, B, and C). A student's level of statistical maturity is based on experience rather than age.

Professional Development

Grade Level:

All, 9-12

An interactive statistics textbook, delivered online. Concepts are taught in the context of data analysis, which students learn to do using R. Students go back and forth between doing and understanding, learning the practice of data analysis while, at the same time, learning to think using statistical ideas. We use statistical modeling (as in DATA = MODEL + ERROR) as the core conceptual framework for the course. For example, the mean is taught as the simplest statistical model. Standard deviation is taught as a way to measure error around a model. Every bit is taught in relation to the whole, resulting in a more coherent understanding of the domain. We invite you to preview the materials. If you teach introductory statistics and want to join our project, find out how to use the book with your students.

CourseKata Introduction to Statistics

An interactive statistics textbook, delivered online. Concepts are taught in the context of data analysis, which students learn to do using R. Students go back and forth between doing and understanding, learning the practice of data analysis while, at the same time, learning to think using statistical ideas. We use statistical modeling (as in DATA = MODEL + ERROR) as the core conceptual framework for the course. For example, the mean is taught as the simplest statistical model. Standard deviation is taught as a way to measure error around a model. Every bit is taught in relation to the whole, resulting in a more coherent understanding of the domain. We invite you to preview the materials. If you teach introductory statistics and want to join our project, find out how to use the book with your students.

Textbook, Full Course

Grade Level:

9-12

An assembly of data literacy best practices and links to free, open-source datasets for class activities.

EverFi "Teaching Data Skills"

An assembly of data literacy best practices and links to free, open-source datasets for class activities.

Datasets

Grade Level:

All

The Data Lab runs probably the most popular data science course at Stanford. The course requires no prerequisites and uses little to no mathematics. It's built on the principle that the best data science skills are built with problem solving and intuition rather than complex statistics. The driving force behind the Lab is Bill Behrman, who is extremely committed to the process of teaching data science in an understandable way and is also looking to start a Data Impact Lab to bring these skills to younger students in public schools.

Stanford Data Lab

The Data Lab runs probably the most popular data science course at Stanford. The course requires no prerequisites and uses little to no mathematics. It's built on the principle that the best data science skills are built with problem solving and intuition rather than complex statistics. The driving force behind the Lab is Bill Behrman, who is extremely committed to the process of teaching data science in an understandable way and is also looking to start a Data Impact Lab to bring these skills to younger students in public schools.

Example College Course

Grade Level:

College

Online modules were developed to give Modelers and non-Modelers a chance to build their pedagogical and science content knowledge.  These 3-hour sessions will be led by experienced Modelers and engage participants in techniques common to Modeling classrooms.

AMTA Online Modules

Online modules were developed to give Modelers and non-Modelers a chance to build their pedagogical and science content knowledge. These 3-hour sessions will be led by experienced Modelers and engage participants in techniques common to Modeling classrooms.

Modules

Grade Level:

All, 6-8, 9-12

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