The purpose of the study was to understand the experiences of data scientists regarding common skills and strategies of interpreting and creating data visualizations. In this Delphi study, the participants were researchers in Data Science using three rounds of surveys. Skills and strategies were identified after Delphi Panel 1 and then brought…

This paper describes the role of data and task context in young children's interpretation of and reasoning about data tables. A design-based descriptive study was conducted with fourteen 5-year-old children in their first year of formal schooling. A picture storybook provided the data context for a data modelling activity that focused on…

Introducing kindergarten children to the engineering design process (EDP) is an important objective of early STEM education. Studies indicate that children often miss the crucial steps of testing and optimising during the EDP and do not persist in making solutions better. The present study explores how children's goal awareness, self-evaluation…

Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…

K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…

Quantitative reasoning is a key intellectual skill, applicable across disciplines and best taught in the context of authentic, relevant problems. Here, I describe and assess a laboratory exercise that has students calculate their "carbon footprint" and evaluate the impacts of various behavior choices on that footprint. Students gather…

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…

A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…

We present an innovative course-based undergraduate research experience curriculum focused on the characterization of single point mutations in p53, a tumor suppressor gene that is mutated in more than 50% of human cancers. This course is required of all introductory biology students, so all biology majors engage in a research project as part of…

The purpose of this study was to determine the impact of using renewable energy data, obtained from a comprehensive data acquisition system, on improving students' learning and developing their higher-order learning skills. This study used renewable energy data available through a data acquisition system installed and tested by the Green Research…

Glyphs, a way of representing data pictorially, are a new way for elementary students to collect, display, and interpret data. This book contains a number of glyph activities that can be used as creative educational tools for grades 1-3. Each glyph has three essential construction elements: the glyph survey (the questions that are asked), the…

With schools being asked to accomplish more and more, it is increasingly important to, whenever possible, address multiple goals in teaching. Educating the whole child dictates that we find ways to ensure our graduates are well-rounded, independent thinkers capable of becoming well-adjusted, contributing adults. Thus community service has become a…

Maintains that preparing graphs is an essential part of data analysis and representation. Asserts that, although psychologists use graphs extensively, most textbooks provide limited techniques for designing graphs. Reviews research on graphical techniques and includes recommended articles on the topic. (CFR)