• DocumentCode
    1832407
  • Title

    Knowledge Requirements Monitoring System: Advantages for Industry and University

  • Author

    Strazdina, Renate ; Kirikova, Marite ; Penicina, Ludmila ; Rudzajs, Peteris

  • Author_Institution
    Dept. of Syst. Theor. & Design, Riga Tech. Univ., Riga, Latvia
  • fYear
    2010
  • fDate
    10-15 Feb. 2010
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    Nowadays, graduates have a wide range of opportunities when they are thinking about their further education and it is difficult to choose whether it would be better to go one way or another. One of the most important drivers for the final decision is whether the study program chosen can lead to a good and interesting job in the future. That means that Universities have to reflect the answer to this question in the description of the study programs, but in order to do this they have to know what the main requirements from the Industry are. This paper, building upon the previous research showing that a knowledge requirements monitoring system and the processes behind it can improve the quality of study programs, focuses on application of the monitoring system for extracting and representing industrial requirements using skill frameworks and direct and indirect course and topic rating systems.
  • Keywords
    educational administrative data processing; educational courses; engineering education; further education; industrial requirements; knowledge requirements monitoring system; study programs; universities; Collaboration; Collaborative work; Continuing education; Ecosystems; Educational programs; Engineering education; Industrial relations; Knowledge management; Monitoring; Testing; knowledge; university and industry collaboration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Process, and Knowledge Management, 2010. eKNOW '10. Second International Conference on
  • Conference_Location
    Saint Maarten
  • Print_ISBN
    978-1-4244-5688-8
  • Type

    conf

  • DOI
    10.1109/eKNOW.2010.22
  • Filename
    5430032