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Saskia Schreiter; Markus Vogel – Educational Studies in Mathematics, 2025
The ability to interpret and compare data distributions is an important educational goal. Inherent in the statistical concept of distribution is the need to focus not only on individual data points or small groups of data points (so-called local view), but to perceive a distribution as a whole, allowing to recognize global features such as center,…
Descriptors: Eye Movements, Statistical Distributions, Data Interpretation, Data Analysis
Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – Grantee Submission, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Statistics Education, Mathematics Skills, Skill Development, Data Analysis
MacKay, Jon – Journal of Statistics and Data Science Education, 2022
Students need to know how to discern patterns and make decisions using visual information in our modern economy. However, there are few sources of real-world information available to instructors that give students access to visualizations to help develop their skills in interpreting complex situations using diverse data sources. This article…
Descriptors: Pandemics, COVID-19, Visual Aids, Data Analysis
A Learning Progression for Constructing and Interpreting Data Display. Research Report. ETS RR-20-03
Kim, Eun Mi; Oláh, Leslie Nabors; Peters, Stephanie – ETS Research Report Series, 2020
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…
Descriptors: Mathematics Education, Statistics Education, Teaching Methods, Data Analysis
Weathers, Danny; Aragón, Oriana – Marketing Education Review, 2019
As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…
Descriptors: Marketing, Curriculum Development, Teaching Methods, Data Analysis
Sorte, Cascade J. B.; Aguilar-Roca, Nancy M.; Henry, Amy K.; Pratt, Jessica D. – CBE - Life Sciences Education, 2020
Science instructors are increasingly incorporating teaching techniques that help students develop core competencies such as critical-thinking and communication skills. These core competencies are pillars of career readiness that prepare undergraduate students to successfully transition to continuing education or the workplace, whatever the field.…
Descriptors: Mentors, Program Effectiveness, Data Analysis, Data Interpretation
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
Smith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
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…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Mandinach, Ellen B.; Gummer, Edith S. – Educational Researcher, 2013
Data-driven decision making has become increasingly important in education. Policymakers require educators to use data to inform practice. Although the policy emphasis is growing, what has not increased is attention to building human capacity around data use. Educators need to gain data literacy skills to inform practice. Although some…
Descriptors: Decision Making, Schools of Education, Data, Teacher Education Curriculum
Hodes, Carol; Pritz, Sandra; Kelley, Patricia; Foster, John – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2011
Establishing an online community of professional learners was one component of a multi-year professional development project with an overall goal of improving the ability of career and technical educators to use and interpret technical assessment data. Educators from five states and nine different schools participated in a research-based workshop…
Descriptors: Computer Mediated Communication, Data Analysis, Inservice Teacher Education, Communities of Practice

Pittenger, David J. – Teaching of Psychology, 1995
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)
Descriptors: Charts, Classroom Techniques, Data Analysis, Data Interpretation
Bernhardt, Victoria L. – Eye on Education, 2005
This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM. High stakes accountability requires that you develop your understanding of who your students are and…
Descriptors: Data Analysis, Accountability, Academic Achievement, High Schools