Learning to interpret visual representations of data is an important step towards becoming an informed consumer of research. The current study assesses the effectiveness of two versions of a scaffolded online module in improving students' ability to identify main effects and interactions in 2 × 2 factorial designs. Across two experiments (N =…

Purpose: A faculty development program (FDP) introduced postsecondary instructors to a module focused on the food-energy-water (FEW) nexus, a socio-hydrologic issue (SHI) and a sustainability challenge. This study aims to examine factors influencing faculty interest in adopting the instructional resources and faculty experience with the FDP,…

For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…

There is increasing enthusiasm for teaching approaches that combine mathematics and biology. The call for integrating more quantitative work in biology education has led to new teaching tools that improve quantitative skills. Little is known, however, about whether increasing interdisciplinary work can lead to adverse effects, such as the…

This handbook was developed for high school teachers looking for new sources of timely information and ways to make courses more engaging and relevant to students. The American Community Survey (ACS) provides a wide online array of social, economic, and demographic information about the nation, states, and local communities. These data can be…

Countries that begin implementing the Intel[R] Teach to the Future Essentials course after March of 2006 are required to collect data using the Intel[R] Teach Essentials End of Training Survey to help support program improvement. This End of Training evaluation toolkit provides guidelines on: (1) End of Training Survey administration; (2) The…