• DocumentCode
    130419
  • Title

    Strategies for the individualization of an informatics course

  • Author

    Mironova, Olga ; Amitan, Irina ; Vendelin, Jelena ; Saar, Merike ; Ruutmann, Tiia

  • Author_Institution
    Dept. of Inf., Software Eng., Univ. of Technol., Tallinn, Estonia
  • fYear
    2014
  • fDate
    7-10 Sept. 2014
  • Firstpage
    835
  • Lastpage
    840
  • Abstract
    The present paper describes the strategies used to compile and teach an Informatics course developed during last years at Tallinn University of Technology. The strategy is based on the main principles of blended learning and the analysis of the results of experiments with students from different faculties. Various tests were carried out to identify students´ levels of knowledge and preferences in their learning process based on their learning styles. Throughout the experiment, students were divided into groups according to the test outcomes. Separate groups were formed of students with different levels of knowledge and learning styles, determined using the Felder-Silverman model. Adaptive learning tools were provided for the students considering the three main aspects: students´ background, the level of their prior knowledge and their preferred learning style. The success of the strategy presented in this article is demonstrated by comparing the achievements of the test group with the reference group, who were not taught using the new strategies.
  • Keywords
    computer science education; information science education; Felder-Silverman model; Tallinn University of Technology; adaptive learning tools; blended learning; individualization; informatics course; Computer science; Educational institutions; Equations; Informatics; Materials; Mathematical model; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
  • Conference_Location
    Warsaw
  • Type

    conf

  • DOI
    10.15439/2014F259
  • Filename
    6933102