Design of a novel diagnostic tool for student performance in engineering degree courses

Raymond Lynch, Niall Seery, Seamus Gordon

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This novel diagnostic tool is based on students' performance at second level and the subjects they studied, with their interests and resulting personality types from Holland's Interest Inventory. The intent is to provide an accurate predictor of student performance and in doing so also offer a detailed insight into the influences on student learning outcomes and retention.A greater understanding of the factors influencing student performance can lead to better-informed teaching and learning strategies, the appropriate application of additional support and, as a result, enhanced student learning outcomes and retention. The Self-Directed Search (SDS) interest inventory used in this research is widely regarded as the most contemporary and extensive test available.

    Original languageEnglish
    Pages (from-to)1103-1110
    Number of pages8
    JournalInternational Journal of Engineering Education
    Volume24
    Issue number6
    Publication statusPublished - 2008

    Keywords

    • Diagnostic tool
    • Interests
    • Inventory
    • Second level (high school) results
    • Strategies

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