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Teaching for Long-Term Memory

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Advanced Intelligent Computational Technologies and Decision Support Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 486))

Abstract

A major goal of education is to help students store information in long-term memory and use that information on later occasions, in the most efficient manner. This chapter investigates the use of analogy as a strategy for encoding information in long-term memory. The results of a study concerning the ability of students to use analogy when learning computer science are presented.

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Acknowledgments

This research was supported by the project entitled Hybrid Medical Complex Systems—ComplexMediSys (2011–2012), a bilateral research project between Romania and Slovakia.

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Authors and Affiliations

  1. University “Vasile Alecsandri” of Bacău, Bacău, Romania

    Elena Nechita

Authors
  1. Elena Nechita
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Correspondence to Elena Nechita .

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Editors and Affiliations

  1. Petru Maior University, Targu Mures, Romania

    Barna Iantovics

  2. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

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Nechita, E. (2014). Teaching for Long-Term Memory. In: Iantovics, B., Kountchev, R. (eds) Advanced Intelligent Computational Technologies and Decision Support Systems. Studies in Computational Intelligence, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-319-00467-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-00467-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00466-2

  • Online ISBN: 978-3-319-00467-9

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