Undergraduate

EarSketch helps you learn core topics in computer science, music, and music technology in a fun, engaging environment. You learn to code in Python or JavaScript, two of the most popular programming languages in the world, while manipulating loops, composing beats, and applying effects to a multi-track digital audio workstation. To start learning to write code and make music, click the Start Coding button and use the integrated online curriculum.

Energy3D is a simulation-based engineering tool for designing green buildings and power stations that harness renewable energy to achieve sustainable development. Users can quickly sketch up a realistic-looking structure or import one from an existing CAD file, superimpose it on a map image (e.g., Google Maps or lot maps), and then evaluate its energy performance for any given day and location. Based on computational physics and weather data, Energy3D can rapidly generate time graphs (resembling data loggers) and heat maps (resembling infrared cameras) for in-depth analyses. Artificial intelligence is also used to support generative design, engineering optimization, and automatic assessment. At the end of the design, Energy3D allows users to print it out, cut out the pieces, and use them to assemble a physical scale model.

Energy3D is a simulation-based engineering tool for designing green buildings and power stations that harness renewable energy to achieve sustainable development. Users can quickly sketch up a realistic-looking structure or import one from an existing CAD file, superimpose it on a map image (e.g., Google Maps or lot maps), and then evaluate its energy performance for any given day and location. Based on computational physics and weather data, Energy3D can rapidly generate time graphs (resembling data loggers) and heat maps (resembling infrared cameras) for in-depth analyses. Artificial intelligence is also used to support generative design, engineering optimization, and automatic assessment. At the end of the design, Energy3D allows users to print it out, cut out the pieces, and use them to assemble a physical scale model.

Energy3D is a simulation-based engineering tool for designing green buildings and power stations that harness renewable energy to achieve sustainable development. Users can quickly sketch up a realistic-looking structure or import one from an existing CAD file, superimpose it on a map image (e.g., Google Maps or lot maps), and then evaluate its energy performance for any given day and location. Based on computational physics and weather data, Energy3D can rapidly generate time graphs (resembling data loggers) and heat maps (resembling infrared cameras) for in-depth analyses. Artificial intelligence is also used to support generative design, engineering optimization, and automatic assessment. At the end of the design, Energy3D allows users to print it out, cut out the pieces, and use them to assemble a physical scale model.

Argumentation enables students to engage in real world scientific practices by rationalizing claims grounded in supporting evidence. Student engagement in scientific argumentation activates the negotiation process by which students develop and defend evidence-based claims. Little is known, however, on the intricate process and potential patterns of negotiation between students during scientific argumentation. The present study seeks to fill this gap by exploring how a group of university science education students negotiated when evaluating the relationship between lines of evidence and alternative explanatory models of a phenomena (i.e., climate change).

An NSF-funded program partnering preservice teachers and undergraduate engineering students to teach robotics to fifth graders was adapted to a virtual format via Zoom. A case study intimately explored one team’s experience as they engineered bio-inspired robots over five weekly sessions.

This chapter offers lessons learned by teacher educators who guided preservice teachers in the modification of hands-on engineering lessons for virtual implementation during the spring 2020 semester as part of an NSF-funded project.

In The Price of Nice, an interdisciplinary group of scholars explores Niceness in educational spaces from elementary schools through higher education to highlight how this seemingly benign quality reinforces structural inequalities.

This study explores the pathways to K–12 Science, Technology, Engineering and Mathematics instruction among Black/African American males in the Discovery Research Education for African American Men in STEM to Teach (DREAMS to Teach) program at Morehouse College

Building on the work of Ball and Cohen and that of Davis and Krajcik, as well as more recent research related to K12 teacher learning from and about curriculum materials, we seek to answer the question, How can educative curriculum materials be developed to support teacher educators in acquiring the knowledge needed for teaching science teachers? We present a set of theoretically and empirically based design principles and conceptual examples of ways in which educative curriculum materials might be used to support teacher educators in developing the knowledge needed for teaching elementary pre-service teachers. Specifically, we focus on helping teacher educators develop prospective teachers’ content knowledge for teaching about the structure and properties of matter.We follow these examples with consideration of unanswered questions related to the use of educative curriculum materials by teacher educators. This poster was prepared for the 2020 Annual International NARST Conference.