Data and graphic analysis and interpretation are important parts of science process skills and science curriculum. So it refers to visual display of data using relevant graphical representations. One of the tools used in science courses is graphics for explain the relationship among each of the concepts and therefore it is important to know data…

Internationally, there has been a policy push for using student data for instruction. Yet, research has noted few examples of actually understanding how this data-use practice takes place. This study presents a case of an instructional data team making sense of student data. The study shares data to show how teachers' process for using data to…

This study identifies a population of students who have an intermediate amount of relevant content knowledge and skill for working with data, and characterizes their approach to interpreting a challenging data-based visualization. Thirty-three undergraduate students enrolled in an introductory environmental science course reasoned about salinity…

Storing data and interpreting data are two very different endeavors; interpreting data is necessary for its transformation into actionable knowledge and new questions. On its own, data are not meaningful information. However, data visualization, like art making, offers another means to create order from chaos; it is an opportunity to identify…

Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…

Refutational text is one of the many instructional techniques that have been proposed to be used in education as a way to achieve effective learning. The aim of refutational text is to transform misconceptions into conceptions that are in line with current scientific concepts. This is done by explicitly stating a misconception, refuting it, and…

This article engages the philosophy of science of data, with a focus on the extent to which data are always already imbued with racializations. As Alexander Weheliye has argued, racializations are not to be reduced to race but rather is the sociopolitical process that hierarchizes and differentiates bodies producing the entangled by-products of…

Courses: Advanced Public Speaking, Argumentation Theory. Objectives: This activity aims to enhance students' ability to make statistics compelling and persuasive.

Bar graphs and histograms are core statistical tools that are widely used in statistical practice and commonly taught in classrooms. Despite their importance and the instructional time devoted to them, many students demonstrate misunderstandings when asked to read and interpret bar graphs and histograms. Much of the research that has been…

Research has shown that: (1) Curriculum-based monitoring (CBM) can be easily implemented and interpreted by teachers (e.g., Fuchs, Deno, & Mirkin, 1984); (2) student outcomes have improved when teachers use CBM to inform instructional decision making (e.g., Fuchs, Fuchs, Hamlett, & Stecker, 1991); (3) reliable and valid measures have been…

The field of citizen science is one of the fastest growing sectors in informal education, specifically because of the new opportunities that are now available within today's digitized and networked world. This paper describes a unique co-created citizen science project, WeatherBlur, which brought fishermen, elementary students, and teachers from…

Technological developments, social networking and the emergence of sensory micro-computation platforms have facilitated the recent growth of citizen science-public participation in scientific research. Citizen science provides lay audiences platforms for data collection and classification alongside access to large scientific databases. Although…

Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…

This qualitative phenomenological study explored how 19 school leaders in seven California comprehensive high schools were making sense of data and using data to transform their schools by closing achievement gap for historically underrepresented students. Data is a powerful tool in the hands of school leaders to transform patterns of inequality…

The aim of this paper is to examine the importance of contextualization of Nature of Science (NOS) within the Socioscientific Issues (SSI) framework, because of the importance to science education. The emphasis on advancing scientific literacy is contingent upon a robust understanding and appreciation of NOS, as well as the acquisition of…