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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
Garcia-Mila, Merce; Marti, Eduard; Gilabert, Sandra; Castells, Marina – Mathematical Thinking and Learning: An International Journal, 2014
Studies that consider the displays that students create to organize data are not common in the literature. This article compares fifth through eighth graders' difficulties with the creation of bar graphs using either raw data (Study 1, n = 155) or a provided table (Study 2, n = 152). Data in Study 1 showed statistical differences for the type of…
Descriptors: Graphs, Problems, Data Interpretation, Comparative Analysis
Hartry, Ardice – Society for Research on Educational Effectiveness, 2013
This paper considers one challenge from recent emphasis on rigorous research for decision-making in education: the interpretation of non-replicated findings. Under Clinton and Bush, the federal government called for and funded highly rigorous research. The "gold-standard" for research was randomized-control trials (RCTs), which…
Descriptors: Outcome Measures, Ambiguity (Context), Randomized Controlled Trials, Reading Programs