Teachers can use CoSpaces Edu across the curriculum. Students could use it to model their thinking about literature, create infographics, tell stories, or model scientific principles. A virtual museum could be created for sharing student work. To truly build out elaborate projects, students will need some deep coding instruction first.
CoSpaces Edu would make sense in a project-based learning class. Use the lesson plans for ideas to get started and then dive in to the forum to get more detailed help.Continue reading Show less
Users can share their work in galleries and remix other gallery projects. Instructors have real-time views of their students' work using a slick dashboard. Viewing the projects using VR glasses is the real standout for CoSpaces Edu. This is accomplished with the accompanying iOS and Android apps.Continue reading Show less
CoSpaces Edu can be an excellent learning tool for students with a coding background. Bringing content to life in virtual reality using the programming languages can be highly motivating for students. However, users with limited coding chops may struggle to take full advantage of the platform because it doesn't offer coding tips.
CoSpaces Edu is a solid platform that doesn't onboard teachers or users as well as other coding platforms; building in scaffolded coding projects could help newbies and provide starting points for teachers. It would also benefit from tutorials and built-in help features that could assist beginners in moving to the next level.Continue reading Show less
Key Standards Supported
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.
Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
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.
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.
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