• DocumentCode
    2641857
  • Title

    Factors affecting student attitudes toward active learning activities in a graduate engineering statistics course

  • Author

    Donohue, Susan K. ; Richard, Larry G.

  • Author_Institution
    Curry Sch. of Educ., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The successful use of active learning practices in a medium-to-large sized (25 - 50 students) graduate engineering statistics course has its challenges as well as opportunities. Students expect that lecture would be the dominant pedagogy, so introducing team-based activities violates their assumptions about the structure of the course. Experience in teaching graduate-level courses in statistics, validated by survey responses and observation, leads us to conclude that the majority of students, regardless of their undergraduate group learning experiences, tend to prefer to work alone or in small groups with acquaintances; the main exception is a preference for working in groups on large-scale projects. Student attitudes seem to be primarily context-dependent, and we find the main factors affecting how a particular activity is received are the scope and grade-importance of the assignment; team size relative to the amount of effort required; and team composition.
  • Keywords
    educational courses; engineering education; learning systems; statistics; active learning; graduate engineering statistics course; student attitudes; Educational institutions; Engineering education; Large-scale systems; Optimized production technology; Springs; Statistical analysis; Statistics; Teamwork; Technological innovation; Testing; Active learning; and group learning; graduate engineering education research; statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference, 2009. FIE '09. 39th IEEE
  • Conference_Location
    San Antonio, TX
  • ISSN
    0190-5848
  • Print_ISBN
    978-1-4244-4715-2
  • Electronic_ISBN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2009.5350587
  • Filename
    5350587