World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
38
Citations
7799
World Ranking
5868
National Ranking
2789

Overview

Richard Catrambone is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple interdisciplinary fields, including Computer Science, Psychology, and Social Sciences. Within these main fields, their work frequently engages with subfields such as Computer Science Applications, Experimental and Cognitive Psychology, Education, Computer Vision and Pattern Recognition, and Demography.

The scientist's research addresses a range of topics focused on technology and human learning processes. Key topics include:

  • Online Learning and Analytics
  • Technology Use by Older Adults
  • Visual Attention and Saliency Detection
  • Visual and Cognitive Learning Processes
  • Teaching and Learning Programming
  • Innovative Teaching and Learning Methods
  • Anomaly Detection Techniques and Applications

Richard Catrambone has contributed to a number of academic papers published in diverse venues. Recent notable publications include:

  • "Scaffolding problem solving with learners' own self explanations of subgoals," 2021, Journal of Computing in Higher Education
  • "Social Responses to Virtual Humans: The Effect of Human-Like Characteristics," 2021, Applied Sciences
  • "Predicting Student Performance Using Feature Selection Algorithms for Deep Learning Models," 2021, 2021 XVI Latin American Conference on Learning Technologies (LACLO)
  • "Bad Arguments and Objectively Bad Arguments," 2023, Informal Logic
  • "USE OF THE TENSORFLOW FRAMEWORK TO SUPPORT EDUCATIONAL PROBLEMS: A SYSTEMATIC MAPPING," 2021, International conference on education

Their scholarly collaborations include frequent coauthors such as Emily Gleaton, Zachary R. Tidler, Yan Tang, Haiyan Bai, and Lauren E. Margulieux. These collaborative efforts appear across multiple publications, with notable recurrent partnerships.

Richard Catrambone's work has been disseminated through several frequent publication venues, demonstrating a consistent presence in specific academic communities. Key venues include:

  • Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
  • 2021 ASEE Virtual Annual Conference Content Access Proceedings
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Journal of Computing in Higher Education
  • 2021 XVI Latin American Conference on Learning Technologies (LACLO)

Best Publications

  • Overcoming contextual limitations on problem-solving transfer.

    Richard Catrambone;Keith J. Holyoak

  • A psychological perspective on augmented reality in the mathematics classroom

    Keith R. Bujak;Iulian Radu;Richard Catrambone;Blair Macintyre

  • An evaluation of space-filling information visualizations for depicting hierarchical structures

    John Stasko;Richard Catrambone;Mark Guzdial;Kevin Mcdonald

  • Designing Instructional Examples to Reduce Intrinsic Cognitive Load: Molar versus Modular Presentation of Solution Procedures

    Peter Gerjets;Katharina Scheiter;Richard Catrambone

  • The subgoal learning model: Creating better examples so that students can solve novel problems.

    Richard Catrambone

  • Evaluating animations as student aids in learning computer algorithms

    Michael D. Byrne;Richard Catrambone;John T. Stasko

  • Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? *

    Peter Gerjets;Katharina Scheiter;Richard Catrambone

  • Generalizing Solution Procedures Learned From Examples

    Richard Catrambone

  • Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change

    Frank Bentley;Konrad Tollmar;Peter Stephenson;Laura Levy

  • Aiding subgoal learning: Effects on transfer.

    Richard Catrambone

  • Procedural Instructions, Principles, and Examples How to Structure Instructions for Procedural Tasks to Enhance Performance, Learning, and Transfer

    Elsa Eiriksdottir;Richard Catrambone

  • Improving examples to improve transfer to novel problems.

    Richard Catrambone

  • Learning subgoals and methods for solving probability problems.

    Richard Catrambone;Keith J. Holyoak

  • Establishing tradeoffs that leverage attention for utility: empirically evaluating information display in notification systems

    D. Scott McCrickard;Richard Catrambone;C. M. Chewar;John T. Stasko

  • Subgoal-labeled instructional material improves performance and transfer in learning to develop mobile applications

    Lauren E. Margulieux;Mark Guzdial;Richard Catrambone

  • Social facilitation effects of virtual humans.

    Sung Park;Richard Catrambone

  • Making the abstract concrete: Visualizing mathematical solution procedures

    Katharina Scheiter;Peter Gerjets;Richard Catrambone

  • The role of self-schemas in going beyond the information given.

    Richard Catrambone;Hazel Markus

  • Evaluating Animation in the Periphery as a Mechanism for Maintaining Awarness.

    D. Scott McCrickard;Richard Catrambone;John T. Stasko

  • A taxonomy to define courses that mix face-to-face and online learning

    Lauren E. Margulieux;W. Michael McCracken;Richard Catrambone

  • Using animation to help students learn computer algorithms.

    Richard Catrambone;A. Fleming Seay

Frequent Co-Authors

Peter Gerjets
Peter Gerjets University of Tübingen
Katharina Scheiter
Katharina Scheiter University of Potsdam
Nancy J. Nersessian
Nancy J. Nersessian Harvard University
Keith J. Holyoak
Keith J. Holyoak University of California, Los Angeles
John Jonides
John Jonides University of Michigan–Ann Arbor
Stella Vosniadou
Stella Vosniadou Flinders University
Paula M. Niedenthal
Paula M. Niedenthal University of Wisconsin–Madison
Thomas F. Shipley
Thomas F. Shipley Temple University
Mary Hegarty
Mary Hegarty University of California, Santa Barbara
Hazel Rose Markus
Hazel Rose Markus Stanford University

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