IDEAS home Printed from https://ideas.repec.org/a/taf/vjerxx/v110y2017i2p159-170.html
   My bibliography  Save this article

Strategic development of multiplication problem solving: Patterns of students' strategy choices

Author

Listed:
  • Dake Zhang
  • Yi Ding
  • Soo Lee
  • Jinsong Chen

Abstract

Low mathematics achievement is a persistent problem in the United States, and multiplication is a fundamental area in which many students manifest learning difficulties. This study examined the strategic developmental levels of multiplication problem solving among 121 elementary school students in Grades 3 through 5. A latent class analysis modeling was used to identify three valid groups representing different patterns of strategy choices for each of three types of multiplication problems. Findings indicated intra-group variability for problem-solving accuracy, for frequency of using different strategies, and for accuracy of executing direct retrieval/algorithm (DR/AG) strategies. Students demonstrated relative consistency in their strategy choices for solving the three problem types. Students who used DR/AG strategies most frequently showed the highest problem-solving accuracy and the highest accuracy of executing the DR/AG strategies. Students who most frequently relied on incorrect operations or who indicated they did not know how to solve problems demonstrated the lowest problem-solving accuracy among the three groups; the number of students in this group increased with problem difficulty levels. Implications are discussed in terms of identifying students' strategic developmental levels and providing differentiated instruction based on the identified levels.

Suggested Citation

  • Dake Zhang & Yi Ding & Soo Lee & Jinsong Chen, 2017. "Strategic development of multiplication problem solving: Patterns of students' strategy choices," The Journal of Educational Research, Taylor & Francis Journals, vol. 110(2), pages 159-170, March.
  • Handle: RePEc:taf:vjerxx:v:110:y:2017:i:2:p:159-170
    DOI: 10.1080/00220671.2015.1060928
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220671.2015.1060928
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00220671.2015.1060928?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:vjerxx:v:110:y:2017:i:2:p:159-170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/vjer20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.