Educational implications of analogy: A view from case-based reasoning.

Kolodner, Janet L.·1997·American Psychologist

Abstract

Case-based reasoning (CBR) focuses on analogy in the context of solving real-world problems. Its research methodology of computational modeling is aimed at deriving hypotheses about cognition. CBR's computational models show the roles of encoding, retrieval, and adaptation in analogical reasoning processes. In addition, its algorithms provide insight into what it might take to enhance human cognition. CBR as a plausible cognitive model can thus advise on educational philosophy, educational practice, and design of educational software.

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Cited by (7)

  1. Problem-Based Learning Meets Case-Based Reasoning in the Middle-School Science Classroom: Putting Learning by Design(tm) Into Practice
    Kolodner, Janet L., Camp, Paul J., Crismond, David, Fasse, Barbara, Gray, Jackie, Holbrook, Jennifer, Puntambekar, Sadhana, Ryan, Mike · 2003 · Journal of the Learning Sciences
  2. Tools for Scaffolding Students in a Complex Learning Environment: What Have We Gained and What Have We Missed?
    Puntambekar, Sadhana, Hubscher, Roland · 2005 · Educational Psychologist
  3. Explanation in Case-Based Reasoning—Perspectives and Goals
    Sørmo, Frode, Cassens, Jörg, Aamodt, Agnar · 2005 · Artificial Intelligence Review
  4. Learning from Errors: A Model of Individual Processes
    Tulis, Maria, Steuer, Gabriele, Dresel, Markus · 2016 · Frontline Learning Research
  5. Overcoming design fixation: Design by analogy studies and nonintuitive findings
    Moreno, Diana P., Blessing, Luciënne T., Yang, Maria C., Hernández, Alberto A., Wood, Kristin L. · 2016 · Artificial Intelligence for Engineering Design, Analysis and Manufacturing

See all 393

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This page
CoChat. (2026). Citation check: Educational implications of analogy: A view from case-based reasoning. https://app.cochat.ai/papers/10.1037//0003-066x.52.1.57
The paper
Kolodner, J. L. (1997). Educational implications of analogy: A view from case-based reasoning. American Psychologist. https://doi.org/10.1037//0003-066x.52.1.57

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.