In the iLab, we engage in project based learning that is focused on building lifelong learners. Our main focus is on 21st century learning skills and the engineering and design process. However, units will also connect to science, social studies, language arts, math, and social emotional learning standards.
The International Society for Technology in Education (ISTE) has outlined 7 areas of focus and standards for students in the digital world. In the iLab, we design projects to help foster and skills in these areas. Click on the image to the left to visit the ISTE site and learn more.
All of our projects will mirror the engineering and design process. We simplify this process in class with our overarching process: Explore, Plan, Do/Reflect, and Share.
At each stage of this process students will engage in different aspects of the science and engineering practices as outlined by the Next Generation Science Standards (NGSS).
Science and Engineering Practices
Asking questions (for science) and defining problems (for engineering)
Developing and using models
Planning and carrying out investigations
Analyzing and interpreting data
Using mathematics and computational thinking
Constructing explanations (for science) and designing solutions (for engineering)
Engaging in argument from evidence
Obtaining, evaluating, and communicating information
K-2 Engineering Design Standards
Ask questions, make observations, and gather information about a situation people want to change to define a simple problem that can be solved through the development of a new or improved object or tool.
Develop a simple sketch, drawing, or physical model to illustrate how the shape of an object helps it function as needed to solve a given problem.
Analyze data from tests of two objects designed to solve the same problem to compare the strengths and weaknesses of how each performs.
3-5 Engineering Design Standards
Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
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.
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.