Undergraduate

The construct of active learning permeates undergraduate education in science, technology, engineering, and mathematics (STEM), but despite its prevalence, the construct means different things to different people, groups, and STEM domains. To better understand active learning, we constructed this review through an innovative interdisciplinary collaboration involving research teams from psychology and discipline-based education research (DBER). Our collaboration examined active learning from two different perspectives (i.e., psychology and DBER) and surveyed the current landscape of undergraduate STEM instructional practices related to the modes of active learning and traditional lecture.

Recent implementation of the Next Generation Science Standards (NGSS) has intensified the focus on teaching and learning of the Earth’s climate and GCC in formal learning environments. Concurrently, the empirical research associated with climate education has also increased. We used an exhaustive, stepwise process to search for and identify relevant literature, systematically analyzing 178 empirical, peer-reviewed studies focused on climate literacy and education in formal K-16 settings.

Recent implementation of the Next Generation Science Standards (NGSS) has intensified the focus on teaching and learning of the Earth’s climate and GCC in formal learning environments. Concurrently, the empirical research associated with climate education has also increased. We used an exhaustive, stepwise process to search for and identify relevant literature, systematically analyzing 178 empirical, peer-reviewed studies focused on climate literacy and education in formal K-16 settings.

Narrative as a game design feature constantly yields mixed results for learning in the literature. The purpose of this exploratory mixed-methods case study was to examine design heuristics and implications governing the role of narratives in a digital game-based learning (DGBL) environment for math problem solving.

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.