GoBoxEd is our most popular curriculum for GoPiGo, our Raspberry Pi robot car. It comes with a set of robot cars, a set of 9 different sensors for each kit, and 12 Missions to accomplish!
GoBoxEd Missions not only cover the basics of learning Bloxter, our block based language similar to Scratch, but also integrate other concepts like biomimicry and natural disasters. View a short description of each mission here.
You get five sets of the following: The GoPiGo3 full robot kit (see details below), 9 sensors and access to the 12 beautifully designed Missions on Dexter Studio that take you step by step through building and coding your robot!
The missions are in a story form of stepbystep instructions that take you through the whole experience. You’ll have full access to our video library and our education support team as well. The GoBox sensor set includes the following: light sensor, sound sensor, ultrasonic sensor, buzzer, LED, motion sensor, button sensor, infrared sensor, and the brand new GoPiGo Line Follower.
GoBoxEd was designed for beginners, and the content of the Missions teaches the Bloxter programming language for the GoPiGo, with the very last mission being a bridge to Python. Read more about how we put together the missions here.
The GoBoxEd Classroom Kit includes the following items:
 10 GoPiGo Base Kits
 10 Raspberry Pi 3
 10 Power Supplies
 10 microSD Cards with Dexter Industries Custom Software DexterOS
 10 Light and Color Sensors
 10 Grove Loudness Sensors
 10 Distance Sensors
 10 Grove Buzzers
 10 Grove LEDs – Red
 10 Grove PIR Motion Sensors
 10 Grove Button Sensors
 10 Grove Infrared Sensors & Infrared Remote Controls
 10 Line Followers
 Access to unlimited online account for Dexter Studio with all 12 Missions. This includes unlimited Student accounts as well, COPPA compliant.
 Set of 10 Storage Bins
 10 Rechargeable Battery Packs & Smart Chargers
 10 Sensor Mounts (Set of 3)
Items we recommend getting to go with your GoBoxEd Club Kit:
 craft supplies to allow students to decorate their GoPiGo robot to look like an animal for the Biomimicry Mission 3
 sensor mounts
 empty boxes to construct an obstacle course & garage for Mission 2
If you only need 5 sets, check out our GoBoxEd Classroom Kit.
Reviews

“The GoPiGo is a great tool for introducing robotics to a classroom.” & “One of the best robotics kits you can buy, especially for teachers.” MagPi
 Raspberry Pi Pod
Standards:
Overarching standards:
 CCSS.Math.Practice.MP1 Make sense of problems and persevere in solving them. Mathematically proficient students start by explaining to themselves the meaning of a problem and looking for entry points to its solution. They analyze givens, constraints, relationships, and goals
 CCSS.MATH.PRACTICE.MP2 Reason abstractly and quantitatively.
 CCSS.MATH.PRACTICE.MP3 Construct viable arguments and critique the reasoning of others.
 CCSS.MATH.PRACTICE.MP4 Model with mathematics.
 CCSS.MATH.PRACTICE.MP5 Use appropriate tools strategically.
 CCSS.MATH.PRACTICE.MP6 Attend to precision.
 CCSS.MATH.PRACTICE.MP7 Look for and make use of structure
 CCSS.MATH.PRACTICE.MP8 Look for and express regularity in repeated reasoning.
Mission 1:
**This applies to all of the missions **
Common Core: English and Language Arts
English Language Arts Standards » Standard 10: Range, Quality, & Complexity » Range of Text Types for 612
Students in grades 612 apply the Reading standards to the following range of text types, with texts selected from a broad range of cultures and periods.
Literature  Informational Text  
Stories  Dramas  Poetry  Literary Nonfiction and Historical, Scientific, and Technical Texts 
Includes the subgenres of adventure stories, historical fiction, mysteries, myths, science fiction, realistic fiction, allegories, parodies, satire, and graphic novels  Includes oneact and multiact plays, both in written form and on film  Includes the subgenres of narrative poems, lyrical poems, free verse poems, sonnets, odes, ballads, and epics  Includes the subgenres of exposition, argument, and functional text in the form of personal essays, speeches, opinion pieces, essays about art or literature, biographies, memoirs, journalism, and historical, scientific, technical, or economic accounts (including digital sources) written for a broad audience 
Mission 2:
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
Science and Engineering Practices
 Asking questions and defining problems in grades 6–8 builds on grades K–5 experiences and progresses to specifying relationships between variables, and clarifying arguments and models.
 Define a design problem that can be solved through the development of an object, tool, process or system and includes multiple criteria and constraints, including scientific knowledge that may limit possible solutions. (MSETS11)
Mission 3:
Next Generation Science Standards
 (Grade 2) 2LS41: Biological Evolution: Unity and Diversity
Students who demonstrate understanding can: Make observations of plants and animals to compare the diversity of life in different habitats.
 (Grades 35) 35ETS11: Engineering Design
Students who demonstrate understanding can: Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 (Grade 4) 4LS11: From Molecules to Organisms: Structures and Processes
Students who demonstrate understanding can: Construct an argument that plants and animals have internal and external structures that function to support survival, growth, behavior, and reproduction.
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
Common Core Math Standards
 CCSS.MATH.CONTENT.6.SP.A.2 — Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
Mission 4:
**This mission could be modified to talk about sound waves to include more standards.
Common Core Math Standards
 CCSS.MATH.CONTENT.6.SP.A.2 — Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.
Mission 5:
Next Generation Science Standards
 (Grade 4) 4PS41 — Develop a model of waves to describe patterns in terms of amplitude and wavelength and that waves can cause objects to move
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 6:
Common Core Math
 CCSS.MATH.CONTENT.6.EE.A.2.C — Evaluate expressions at specific values of their variables. Include expressions that arise from formulas used in realworld problems. Perform arithmetic operations, including those involving wholenumber exponents, in the conventional order when there are no parentheses to specify a particular order
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 7:
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 8:
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 9:
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 10:
Next Generation Science Standards
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.4PS43.Generate and compare multiple solutions that use patterns to transfer information
 PS4.C Information Technologies and Instrumentation: Waves can be used to transmit digital information.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 11:
 4PS43.Generate and compare multiple solutions that use patterns to transfer information
 PS4.C Information Technologies and Instrumentation: Waves can be used to transmit digital information.
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved
Mission 12:
 35ETS11 — Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
 35ETS12 — Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.
 35ETS13 — Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved.
 MSETS11 — Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles
 MSETS12 — Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
 MSETS13 — Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success
 MSETS14 — Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved