Engineering

The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

Teacher-facilitated whole-class conversations can help elementary students apply the full power of the NGSS science and engineering practices to an engineering design process. In this article we describe and provide examples for five kinds of Design Talks. Each type of Design Talk centers on a different framing question and is facilitated by specific prompts that help students voice their ideas and make connections to others' ideas.

Despite an increasing focus on integrating engineering design in K-12 settings, relatively few studies have investigated how to support students to engage in systematic processes to optimize the designs of their solutions. Emerging learning technologies such as computational models and simulations enable rapid feedback to learners about their design performance, as well as the ability to research how students may or may not be using systematic approaches to the optimization of their designs.

Despite an increasing focus on integrating engineering design in K-12 settings, relatively few studies have investigated how to support students to engage in systematic processes to optimize the designs of their solutions. Emerging learning technologies such as computational models and simulations enable rapid feedback to learners about their design performance, as well as the ability to research how students may or may not be using systematic approaches to the optimization of their designs.