• DocumentCode
    177385
  • Title

    Analysing Students´ Attitudes Towards the Learning of Specialized Software

  • Author

    Rodrigues, Cristina S. ; Rocha, Ana Maria A. C.

  • Author_Institution
    Algoritmi Reasearch Centre, Univ. of Minho, Braga, Portugal
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    264
  • Lastpage
    267
  • Abstract
    In this article the situation of teaching in engineering courses using specialized software support is evaluated and analysed. The statistics courses in engineering often come off as element of formal exposure to statistical analysis and research methods. The software support during classes intends to facilitate and reinforce learning with computational resolution of statistical specific problems. We report a research that investigates students´ attitudes towards computers and their effect on statistics unit performance. The preliminary results of research using a small sample of 47 students enrolled in the experimental statistics unit of the 1st year of the master´s degree in industrial engineering from the University of Minho indicate that software perceived usefulness has a positive effect on student success, although perceived ease of use and perceived self-performance do not influence.
  • Keywords
    computer aided instruction; educational courses; engineering education; industrial engineering; software engineering; statistical analysis; student experiments; University of Minho; engineering courses; industrial engineering; learning; specialized software support; statistical analysis; students attitudes; teaching; Computers; Educational institutions; Industrial engineering; Mathematical model; Reliability; Software; ease of use; self-performance; statistical sofwtare; students attitudes; usefulness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2014 14th International Conference on
  • Conference_Location
    Guimaraes
  • Type

    conf

  • DOI
    10.1109/ICCSA.2014.61
  • Filename
    6976703