• DocumentCode
    3695856
  • Title

    Learning benefits of online formative self-assessments

  • Author

    Juraj Petrović;Dyana Tralić;Predrag Pale

  • Author_Institution
    Department of Electronic Systems and Information Processing, University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000, Zagreb, Croatia
  • fYear
    2015
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    In this paper results of a study investigating the effects of formative self-assessments on students´ learning achievements are presented. Formative online self-assessments were made available to students enrolled in a digital signal processing university course. Students´ access logs and results were used to support or reject hypotheses regarding students´ perception of formative self-assessments, as well as to analyze their influence on learning outcomes, when compared with previous generation of students with no formative assessments available. The analysis of obtained data suggests formative self-assessments are beneficial for learning outcomes and are positively perceived by students. However, this data alone is insufficient to model the summative assessments´ results.
  • Keywords
    "Finite element analysis","Linear regression","Digital signal processing","Data analysis","Electrical engineering","Fourier transforms","Finite impulse response filters"
  • Publisher
    ieee
  • Conference_Titel
    ELMAR (ELMAR), 2015 57th International Symposium
  • Print_ISBN
    978-953-184-209-9
  • Type

    conf

  • DOI
    10.1109/ELMAR.2015.7334538
  • Filename
    7334538