• DocumentCode
    1597463
  • Title

    A quantitative assessment method for simulation-based e-learnings

  • Author

    Andriano, Natalia ; Moyano, Marcela Garay ; Bertoni, Carlos ; Rubio, Diego

  • Author_Institution
    Dept. de Ing. en Sist. de Informacion, Univ. Tecnol. Nac., Cordoba, Argentina
  • fYear
    2011
  • Firstpage
    159
  • Lastpage
    168
  • Abstract
    For several years the software industry has been focused on improving its product´s quality by implementing different frameworks, models and standards like CMMI and ISO. It has been discovered that training team members is a must within these quality frameworks. Given the vast technologies differentiations and new methodologies for developing software, it is imminent that alternative faster, effective and more customized ways of training people are needed. One alternative way in training people is using simulation-based e-learning technologies. Due to the vast e-learnings market´s availability, evaluations on educational software must be done to verify the quality of the training that is been produced or acquired. This paper presents a method that provides a quantitative assessment of the training quality. The proposed method presents an approach towards assessing educational software through the quantitative evaluation of predefined attribute. A pilot experience is presented in this paper along with the method description and explanation.
  • Keywords
    DP industry; computer aided instruction; software quality; training; CMMI standard; ISO standard; educational software; product quality; quantitative assessment method; simulation based e-learning; software development; software industry; team member training; training quality; Computational modeling; Electronic learning; Games; Graphics; Multimedia communication; Software; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Education and Training (CSEE&T), 2011 24th IEEE-CS Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1093-0175
  • Print_ISBN
    978-1-4577-0349-2
  • Electronic_ISBN
    1093-0175
  • Type

    conf

  • DOI
    10.1109/CSEET.2011.5876083
  • Filename
    5876083