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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
Lem, Stephanie; Onghena, Patrick; Verschaffel, Lieven; Van Dooren, Wim – ZDM: The International Journal on Mathematics Education, 2017
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…
Descriptors: Persuasive Discourse, Mathematics Education, Teaching Methods, Misconceptions
Stahnke, Rebekka; Schueler, Sven; Roesken-Winter, Bettina – ZDM: The International Journal on Mathematics Education, 2016
Research in mathematics education has investigated teachers' professional knowledge in depth, comprising two different approaches: a cognitive and a situated perspective. Linking these two perspectives leads to addressing situation-specific skills such as perception, interpretation and decision-making, indicative of revealing a teacher's knowledge…
Descriptors: Teacher Attitudes, Mathematics, Mathematics Education, Decision Making
Strayer, Jeremy F.; Edwards, Michael Todd – Mathematics Teacher, 2015
A news story claiming that the cream filling of a popular "double" cream sandwich cookie is not really "double" went viral in fall 2013. A high school mathematics teacher posted a blog entry describing how he and his students measured 20 cookies, analyzed the data, and concluded that the double cream cookies had only 1.86 times…
Descriptors: Media Literacy, News Media, Mathematics Education, Statistics
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2015
Current educational reform calls for increased integration between science and mathematics to overcome the shortcomings in students' quantitative skills. Data Nuggets (free online resource, http://datanuggets.org) are worksheets that bring data into the classroom, repeatedly guiding students through the scientific method and making claims…
Descriptors: Inquiry, Science Process Skills, Educational Change, Statistical Analysis
Forster, Patricia A. – International Journal for Technology in Mathematics Education, 2007
This paper analyses technology-based instruction on data-analysis with box plots. Examples of instruction taken from the research literature inform a study of two classes of 17 year-old students (upper secondary) in which the mathematical relationships that their teachers targeted are distinguished as being, or not being, relevant to statistical…
Descriptors: Statistical Analysis, Secondary School Students, Mathematics Instruction, Teaching Methods
Peer reviewedJinks, Jerry; Hoffer, Terry – School Science and Mathematics, 1989
Described is a study which was conducted as an exploratory assessment of science reviewers' perceptions for the future of science education. Arrives at interpretations for identified categories of computers and high technology, science curriculum, teacher education, training, certification, standards, teaching methods, and materials. (RT)
Descriptors: College Science, Computers, Data Interpretation, Futures (of Society)
Peer reviewedBerg, Craig, A.; Phillips, Darrell G. – Journal of Research in Science Teaching, 1994
Using Piagetian tasks designed to assess specific mental structures, researchers investigate the relationship between logical thinking structures and the ability of students to construct and interpret line graphs. Results revealed that a significant correlation exists between the aforementioned variables. Suggests and cautions that only at certain…
Descriptors: Data Interpretation, Developmental Stages, Educational Research, Elementary Secondary Education
Peer reviewedvan Reeuwijk, Martin – Mathematics Teacher, 1992
Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Educational Change

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