Gender Differences in Children’s Prior Play Experiences as a Predictor of Success in Engineering Tasks

Studies have shown that female student’s science and mathematical achievements are consistent with those of their male peers. Nevertheless, women are dramatically underrepresented in STEM professions, with women making up just 12 percent of working engineers. Since it has been found that early exposure to STEM concepts and practice leads to later success in the field, it is important that we understand the differences in engineering skills and levels of interest in young children. This study examines gender differences between young children in multiple measured variables of building tasks at an engineering exhibit in a museum. The sample consists of 68 families, child M age = (5.5 years). In this study researchers asked children to fix a wobbly skyscraper or bridge, and also asked parents to complete a questionnaire regarding their child’s play interests. Children’s attempts at fixing the structures were coded from videotape records at the museum. It is hypothesized that parents will report male children having greater prior experience and interest with engineering games than females, which may predict greater success in the building tasks. We will report results on potential gender differences in children’s prior play experiences and interest as a predictor of success in these building tasks.https://orb.binghamton.edu/research_days_posters_2021/1100/thumbnail.jp

Experimental Group Differences in Children’s Bracing Ability

Science education research investigates young children’s understanding of materials in technological settings linking the concept of matter to tangible properties such as weight or heaviness. Children’s comprehension of elements enables them to support and reinforce the structural stability of towers when presented with wobbly structures. Young children understand the relationships between the properties of materials, stability, and bracing during construction. Sixty-eight families (M child age = 5.5 years) were recruited at the entrance of the Skyline building construction exhibit at a children’s museum and were randomly assigned to two conditions. This consisted of the demonstration group (experimental group) and the non-demonstration group (the control group). Children were then tasked with strengthening a wobbly structure of a skyscraper or a bridge, first with their parents followed by the second task to be completed independently. We will analyze the effect of the cross-bracing demonstration on children\u27s building behavior in an engineering exhibit. We will discuss the ratio of functional to total pieces used, such as cross-braces or triangle pieces. We predict that children who received the cross-bracing demonstration will exhibit greater success at properly using functional pieces to create a stable structure compared to children in the control group.https://orb.binghamton.edu/research_days_posters_2021/1097/thumbnail.jp

Inter-model analysis of tsunami-induced coastal currents

To help produce accurate and consistent maritime hazard products, the National Tsunami Hazard Mitigation Program organized a benchmarking workshop to evaluate the numerical modeling of tsunami currents. Thirteen teams of international researchers, using a set of tsunami models currently utilized for hazard mitigation studies, presented results for a series of benchmarking problems; these results are summarized in this paper. Comparisons focus on physical situations where the currents are shear and separation driven, and are thus de-coupled from the incident tsunami waveform. In general, we find that models of increasing physical complexity provide better accuracy, and that low-order three-dimensional models are superior to high-order two-dimensional models. Inside separation zones and in areas strongly affected by eddies, the magnitude of both model-data errors and inter-model differences can be the same as the magnitude of the mean flow. Thus, we make arguments for the need of an ensemble modeling approach for areas affected by large-scale turbulent eddies, where deterministic simulation may be misleading. As a result of the analyses presented herein, we expect that tsunami modelers now have a better awareness of their ability to accurately capture the physics of tsunami currents, and therefore a better understanding of how to use these simulation tools for hazard assessment and mitigation efforts

Inter-model analysis of tsunami-induced coastal currents

To help produce accurate and consistent maritime hazard products, the National Tsunami Hazard Mitigation Program organized a benchmarking workshop to evaluate the numerical modeling of tsunami currents. Thirteen teams of international researchers, using a set of tsunami models currently utilized for hazard mitigation studies, presented results for a series of benchmarking problems; these results are summarized in this paper. Comparisons focus on physical situations where the currents are shear and separation driven, and are thus de-coupled from the incident tsunami waveform. In general, we find that models of increasing physical complexity provide better accuracy, and that low-order three-dimensional models are superior to high-order two-dimensional models. Inside separation zones and in areas strongly affected by eddies, the magnitude of both model-data errors and inter-model differences can be the same as the magnitude of the mean flow. Thus, we make arguments for the need of an ensemble modeling approach for areas affected by large-scale turbulent eddies, where deterministic simulation may be misleading. As a result of the analyses presented herein, we expect that tsunami modelers now have a better awareness of their ability to accurately capture the physics of tsunami currents, and therefore a better understanding of how to use these simulation tools for hazard assessment and mitigation efforts