The Effect of Guidance in Problem-Based Learning of Statistics

Jimmie Leppink, Nick Broers, Tjaart Imbos, Cees van der Vleuten, Martijn Berger

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)


    Contrary to classical problem-based learning, in guided problem-based learning, the learning goals are predetermined by the instructor-on the basis of a detailed decomposition of the subject matter to be studied-to activate prior knowledge and to structure self-study and subsequent group discussion. This study investigated the effects of classical problem-based learning and guided problem-based learning, for different prior knowledge levels, on perceived value and usefulness of the learning activity and on conceptual understanding of statistics. Participants randomly assigned 110 students to 10 problem-based learning groups, and subsequently, the 10 groups were allocated randomly to classical problem-based learning or guided problem-based learning. The results indicate that guided problembased learning tends to enhance conceptual understanding of statistics more thanbreak; classical problem-based learning once students have some prior knowledge of the subject. Furthermore, guided problem-based learning tends to increase students' awareness of the value and usefulness of the learning activity.

    Original languageEnglish
    Pages (from-to)391-407
    Number of pages17
    Issue number3
    Publication statusPublished - 2014


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