Computerized coding system for life narratives to assess students' personality adaption

    Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

    1 Citation (Scopus)
    9 Downloads (Pure)

    Abstract

    The present study is a trial in developing an automatic computerized coding framework with text mining techniques to identify the characteristics of redemption and contamination in life narratives written by undergraduate students. In the initial stage of text classification, the keyword-based classifier algorithm – product score model – performed more sensitive in finding the “change” elements in life stories comparing to the Decision Tree and Naïve Bayes models. The verbal features of life narratives were also discussed to enhance the classification accuracy further in assessing students’ personality adaption.
    Original languageEnglish
    Title of host publicationEDM 2011: 4th International Conference on Educational Data Mining
    Subtitle of host publicationProceedings, Eindhoven, July 6-8, 2011
    EditorsMykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastian Ventura, Cristobal Romero, John Stamper
    Place of PublicationEindhoven
    Pages325-326
    Publication statusPublished - 6 Jul 2011
    Event4th International Conference on Educational Data Mining, EDM 2011 - Eindhoven, Netherlands
    Duration: 6 Jul 20118 Jul 2011
    Conference number: 4

    Conference

    Conference4th International Conference on Educational Data Mining, EDM 2011
    Abbreviated titleEDM
    CountryNetherlands
    CityEindhoven
    Period6/07/118/07/11

    Keywords

    • METIS-282128

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  • Cite this

    He, Q., Veldkamp, B. P., & Westerhof, G. J. (2011). Computerized coding system for life narratives to assess students' personality adaption. In M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, & J. Stamper (Eds.), EDM 2011: 4th International Conference on Educational Data Mining: Proceedings, Eindhoven, July 6-8, 2011 (pp. 325-326). Eindhoven.