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Bethany Rittle-Johnson

Bethany Rittle-Johnson

D-Index & Metrics

Psychology

D-Index
45
Citations
12583
World Ranking
6559
National Ranking
3558

Overview

Bethany Rittle-Johnson is affiliated with Vanderbilt University in the United States. Their primary fields of study include Social Sciences and Mathematics, with a particular focus on Education and Statistics and Probability as subfields. Their research explores various dimensions of educational psychology and mathematics learning, emphasizing cognitive and developmental aspects.

The main topics addressed in their work cover cognitive and developmental aspects of mathematical skills, mathematics education and teaching techniques, parental involvement in education, school choice and performance, science education and pedagogy, early childhood education and development, and education and technology integration.

Recent papers authored or co-authored by Bethany Rittle-Johnson include:

  • The relation between conceptual and procedural knowledge in learning mathematics: A review, 2021, Psychology Press eBooks
  • Finding patterns in objects and numbers: Repeating patterning in pre-K predicts kindergarten mathematics knowledge, 2020, Journal of Experimental Child Psychology
  • Comparing and Discussing Multiple Strategies: An Approach to Improving Algebra Instruction, 2021, The Journal of Experimental Education
  • Helping preschoolers learn math: The impact of emphasizing the patterns in objects and numbers, 2021, Journal of Educational Psychology
  • How Can Cognitive-Science Research Help Improve Education? The Case of Comparing Multiple Strategies to Improve Mathematics Learning and Teaching, 2020, Current Directions in Psychological Science

Frequent co-authors collaborating with Bethany Rittle-Johnson include:

  • Ashli-Ann Douglas
  • Kelley Durkin
  • Camille Msall
  • Erica L. Zippert
  • Jon R. Star

They have published multiple works in notable academic venues, including:

  • Journal of Experimental Child Psychology
  • The Journal of Experimental Education
  • British Journal of Educational Psychology
  • PsycTESTS Dataset
  • Proceedings of the 2020 AERA Annual Meeting

Best Publications

  • Developing Conceptual Understanding and Procedural Skill in Mathematics: An Iterative Process.

    Bethany Rittle-Johnson;Robert S. Siegler;Martha Wagner Alibali

  • Conceptual and procedural knowledge of mathematics: Does one lead to the other?

    Bethany Rittle-Johnson;Martha Wagner Alibali

  • Does comparing solution methods facilitate conceptual and procedural knowledge? An experimental study on learning to solve equations.

    Bethany Rittle-Johnson;Jon R. Star

  • Promoting Transfer: Effects of Self-Explanation and Direct Instruction

    Bethany Rittle-Johnson

  • Developing Conceptual and Procedural Knowledge of Mathematics

    Bethany Rittle-Johnson;Michael Schneider

  • The relation between conceptual and procedural knowledge in learning mathematics: A review.

    Bethany Rittle-Johnson;Robert S. Siegler

  • Compared with What? The Effects of Different Comparisons on Conceptual Knowledge and Procedural Flexibility for Equation Solving.

    Bethany Rittle-Johnson;Jon R. Star

  • Not a One-Way Street: Bidirectional Relations Between Procedural and Conceptual Knowledge of Mathematics

    Bethany Rittle-Johnson;Michael Schneider;Jon R. Star

  • Learning to Spell: Variability, Choice, and Change in Children's Strategy Use

    Bethany Rittle-Johnson;Robert S. Siegler

  • The Importance of Prior Knowledge When Comparing Examples: Influences on Conceptual and Procedural Knowledge of Equation Solving

    Bethany Rittle-Johnson;Jon R. Star;Kelley Durkin

  • The effectiveness of using incorrect examples to support learning about decimal magnitude.

    Kelley Durkin;Bethany Rittle-Johnson

  • Relations among conceptual knowledge, procedural knowledge, and procedural flexibility in two samples differing in prior knowledge.

    Michael Schneider;Bethany Rittle-Johnson;Jon R. Star

  • Flexibility in Problem Solving: The Case of Equation Solving.

    Jon R. Star;Bethany Rittle-Johnson

  • Assessing Knowledge of Mathematical Equivalence: A Construct-Modeling Approach.

    Bethany Rittle-Johnson;Percival G. Matthews;Roger S. Taylor;Katherine L. McEldoon

  • It pays to compare: an experimental study on computational estimation.

    Jon R. Star;Bethany Rittle-Johnson

  • Early Math Trajectories: Low-Income Children's Mathematics Knowledge from Ages 4 to 11.

    Bethany Rittle-Johnson;Emily R. Fyfe;Kerry G. Hofer;Dale Clark Farran

  • Designing Knowledge Scaffolds to Support Mathematical Problem Solving

    Bethany Rittle-Johnson;Kenneth R. Koedinger

  • Exploring mathematics problems prepares children to learn from instruction.

    Marci S. DeCaro;Bethany Rittle-Johnson

  • The Roles of Patterning and Spatial Skills in Early Mathematics Development.

    Bethany Rittle-Johnson;Erica L. Zippert;Katherine L. Boice

  • The Effects of Feedback During Exploratory Mathematics Problem Solving: Prior Knowledge Matters

    Emily R. Fyfe;Bethany Rittle-Johnson;Marci S. DeCaro

Frequent Co-Authors

Jon R. Star
Jon R. Star Harvard University
Richard E. Mayer
Richard E. Mayer University of California, Santa Barbara
Dale C. Farran
Dale C. Farran Vanderbilt University
Robert S. Siegler
Robert S. Siegler Columbia University
Nicole M. McNeil
Nicole M. McNeil University of Notre Dame
Martha W. Alibali
Martha W. Alibali University of Wisconsin–Madison
Vladimir M. Sloutsky
Vladimir M. Sloutsky The Ohio State University
David H. Uttal
David H. Uttal Northwestern University
Judy S. DeLoache
Judy S. DeLoache University of Virginia
Robert L. Goldstone
Robert L. Goldstone Indiana University

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