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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
Whitacre, Ian; Rumsey, Chepina – Cognition and Instruction, 2018
This article contributes to the research literature concerning prospective elementary teachers' mathematical thinking and learning with a focus on flexibility. We present a case study of a prospective elementary teachers' development of flexibility in mental addition and subtraction during a Number and Operations course. Building upon the…
Descriptors: Mathematics Instruction, Social Influences, Preservice Teachers, Elementary Education
Braithwaite, David W.; Goldstone, Robert L. – Cognition and Instruction, 2015
Learning abstract concepts through concrete examples may promote learning at the cost of inhibiting transfer. The present study investigated one approach to solving this problem: systematically varying superficial features of the examples. Participants learned to solve problems involving a mathematical concept by studying either superficially…
Descriptors: Concept Formation, Prior Learning, Problem Solving, Mathematical Concepts
Rittle-Johnson, Bethany; Koedinger, Kenneth R. – Cognition and Instruction, 2005
We present a methodology for designing better learning environments. In Phase 1, 6th-grade students' (n = 223) prior knowledge was assessed using a difficulty factors assessment (DFA). The assessment revealed that scaffolds designed to elicit contextual, conceptual, or procedural knowledge each improved students' ability to add and subtract…
Descriptors: Prior Learning, Intervention, Mathematics Instruction, Problem Solving

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