Science data literacy (SDL) is an important literacy for college students in STEM majors to possess. However, the current understanding of SDL is incomplete and lacks effective cultivation strategies. This study integrates the core ideas of science literacy (SL) and data literacy (DL), while considering the characteristics of science data, and…

Schooling traditionally affords students more experience in learning and practicing procedures than in identifying what a situation calls for. When asked to choose appropriate numerical data to support their causal claims, college students perform surprisingly poorly. In one case we describe, almost all chose limited, inconclusive data as…

This inquiry-based activity for high school students introduces concepts of ecology and the importance of data analysis to science. Using an investigative case, students generate independent questions about birds, access Cornell Lab of Ornithology online resources to collect data, organize and graph data using Excel, and make claims based on…

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…

This phenomologic study was carried out in order to determine how 63 pre-service chemistry teachers graduated from Chemistry Branch of Science Faculty in the pedagogical training program during 2013-2015 academic years defined the concepts of density and melting and boiling points and how they interpreted the data in micro levels. A diagnostic…

Although practical laboratory activities are often considered the linchpin of science education, asking students to produce many large practical reports can be problematic. Practical reports require diverse skills, and therefore do not focus the students' attention on any one skill where specific skills need to be enhanced. They are also…

Analyzing, interpreting, and clearly presenting real data are skills we hope to develop in all students, majors and nonmajors alike. These process skills require lots of practice coupled with targeted feedback from instructors or mentors. Here we present a pedagogy implemented within a course-based research experience that is designed to help…

One of the major story lines of the growth of civilization is the advance of the experiment. From the food we eat to the diseases we conquer to our understanding of how we think and behave, we have profited enormously from an approach that marries our models of the world with tests of their validity through systematic variation to determine cause…

Science teachers and graduate students have developed activities and assessment tools that begin to help students make the distinction between data and evidence. Two activities are covered in this article. (Contains 1 resource and 2 figures.)

This study sought to compare a data-rich learning (DRL) environment that utilized online data as a tool for teaching about renewable energy technologies (RET) to a lecture-based learning environment to determine the impact of the learning environment on students' knowledge of Science, Technology, Engineering, and Math (STEM) concepts related…

Argues that the United Kingdom's National Curriculum recommendations regarding data analysis tasks do not explain the specific activities clearly enough to assist teachers in deciding what practices to follow. Presents research that shows that the range of data-analysis tasks that pupils can perform depends on the type of data as well as on the…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…