Teaching Data Collection and Analysis: Using DataCorral Technology to Create Lesson Plans for STEM Secondary Teachers
Abstract: This poster highlights a [project] that focuses on a free, new online database technology that is updated daily (URL). Through this grant at [University], a data collection website called [Data Source] was created to promote community and K-12 teacher "big data" resources by utilizing microbe data collection. Research shows that K-12 student data collection and analysis are important and necessary as shown in the Next Generation Science Standards. In the NGSS, the standards are designed to enhance K-12 students’ critical thinking skills and help prepare them for the global science field. Data collection and analysis is seen as a daunting and complicated task for many students. Using [Data Source] as a resource is especially insightful as K-12 teachers need to create lesson plans that delineate the steps of data collection for their K-12 students and showcase real-world phenomenon (in this case microbes). This type of "big data" access and technology could impact retention rates with K-12 students for long-term content understanding. In this poster presentation, the team discusses how using the [Data Source] collection website assists as teachers make microbe based lesson plans to address K-12 student gaps in data collection and analysis. The team shares how the process kickstarts data collection and analysis lesson plans that challenge students to move beyond the traditional approach to achieving NGSS science standards and science and engineering practices (SEPs).
Presider: Scott Mavers, University of North Texas