• DocumentCode
    524336
  • Title

    How does collaboration affect algorithm learning? A case study using TRAKLA2 algorithm visualization tool

  • Author

    Rajala, Teemu ; Salakoski, Tapio ; Kaila, Erkki ; Laakso, Mikko-Jussi

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
  • Volume
    3
  • fYear
    2010
  • fDate
    22-24 June 2010
  • Abstract
    Algorithm visualization tools can potentially be used to help novices to learn the abstract concepts of algorithms and data structures. Still, the methods of using such tools must be carefully considered. We conducted a study to find out if the TRAKLA2 algorithm visualization tool can be used to teach these concepts effectively. Moreover, we wanted to find out if there is a difference in learning when students use the tool in collaboration with another student. Students participated in a two-hour lab session, where half of them used the tool independently, and the other half in collaboration with a peer. We found out, that using the tool had a substantial effect on the learning outcome for both groups. However, the collaborative use did not have any additional effect on the learning.
  • Keywords
    computer science education; data structures; data visualisation; groupware; TRAKLA2 algorithm visualization tool; algorithm learning; collaboration; data structures; Automatic programming; Collaboration; Collaborative tools; Collaborative work; Data structures; Data visualization; Education; Educational programs; Information technology; Programming profession; Algorithm visualization; automatic assessment; collaboration; immediate feedback; programming education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer (ICETC), 2010 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6367-1
  • Type

    conf

  • DOI
    10.1109/ICETC.2010.5529489
  • Filename
    5529489