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Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
Sobotka, Alex J.; Janney, Benjamin A.; Kidd, Aaron E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2023
Graphical representations appear everywhere in modern society. Their ubiquity has, in part, justified graph literacy as a core competency in education. Graph literacy - the capacity to read and interpret graphs - consists of understanding features, identifying variables, interpreting trends, and forming real-world connections. Experts and novices…
Descriptors: Graphs, Literacy, Interpretive Skills, Data Interpretation
Liza Bondurant; Stephanie Somersille – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…
Descriptors: Statistics Education, Teaching Methods, Newspapers, Decision Making
Sebahat Gok – ProQuest LLC, 2024
Many education researchers have advocated grounding abstract mathematical and scientific concepts in students' lived experiences, environmental interactions, and perceptions. This dissertation explores the causal effects of various grounding strategies in instructional settings, specifically on the topic of statistical sampling. The first chapter…
Descriptors: Teaching Methods, Attribution Theory, Statistics Education, Computer Simulation
Ann M. Brearley; Kollin W. Rott; Laura J. Le – Journal of Statistics and Data Science Education, 2023
We present a unique and innovative course, Biostatistical Literacy, developed at the University of Minnesota. The course is aimed at public health graduate students and health sciences professionals. Its goal is to develop students' ability to read and interpret statistical results in the medical and public health literature. The content spans the…
Descriptors: Statistics Education, Data Interpretation, Teaching Methods, Biology
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2020
Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…
Descriptors: Data Analysis, Scientific Research, Science Instruction, Scientific Principles
Lee, Victor R.; Drake, Joel; Cain, Ryan; Thayne, Jeffrey – Cognition and Instruction, 2021
Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…
Descriptors: Statistics Education, Familiarity, Self Concept, Prior Learning
Helens-Hart, Rose – Communication Teacher, 2015
Coming-out scenarios have been described as potentially traumatic events that change the parent-child relationship (MacDonald, 1983). Little research in the field of communication studies has been conducted on how the process of coming out unfolds within families (Valentine, Skelton, & Butler, 2003). The exercise described in this article…
Descriptors: Data Analysis, Parent Child Relationship, Data Interpretation, Learning Activities
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
Crovitz, Darren – English Journal, 2011
This article discusses how amusing mistakes can make for serious language instruction. The notion that close analysis of language errors can yield insight into how one thinks and learns seems fundamentally obvious. Yet until relatively recently, language errors were primarily treated as indicators of learner deficiency rather than opportunities to…
Descriptors: Error Analysis (Language), Error Correction, Teacher Responsibility, Cognitive Processes
O'Connell, Susan R. – 1997
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…
Descriptors: Communication Skills, Data Analysis, Data Interpretation, Elementary Education

Burn, Christopher R.; Fox, Michael F. – Journal of Geography, 1986
Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)
Descriptors: Data Interpretation, Geography Instruction, Higher Education, Learning Activities

Munsart, Craig A. – Science Activities, 1993
Presents an activity that allows students to experience the type of discovery process that paleontologists necessarily followed during the early dinosaur explorations. Students are read parts of a story taken from the "American Journal of Science" and interpret the evidence leading to the discovery of Triceratops and Stegosaurus. (PR)
Descriptors: Data Interpretation, Dinosaurs, Elementary Secondary Education, Learning Activities

Finkelstein, Judy; And Others – Social Education, 1985
How museums have changed to accommodate young children is described, the importance of pre-visit preparations is discussed, and strategies and activities to enhance the concepts gained from museum experiences are presented. (RM)
Descriptors: Community Resources, Data, Data Collection, Data Interpretation

Schulze, Melanie – Journal of Geography, 1996
Recommends making choropleth maps as a fun and interesting way to teach geographic concepts. Choropleth maps represent data and ratios (population density, voter registration) and can be constructed easily. Includes suggested activities and representative maps. (MJP)
Descriptors: Cartography, Data Interpretation, Geographic Concepts, Geography
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