ReaderBench Learns Dutch: Building a Comprehensive Automated Essay Scoring System for Dutch Language

Mihai Dascalu, W. Westera, Stefan Ruseti, Stefan Trausan-Matu, H.J. Kurvers

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

    Abstract

    Automated Essay Scoring has gained a wider applicability and usage with the integration of advanced Natural Language Processing techniques which enabled in-depth analyses of discourse in order capture the specificities of written texts. In this paper, we introduce a novel Automatic Essay Scoring method for Dutch language, built within the Readerbench framework, which encompasses a wide range of textual complexity indices, as well as an automated segmentation approach. Our method was evaluated on a corpus of 173 technical reports automatically split into sections and subsections, thus forming a hierarchical structure on which textual complexity indices were subsequently applied. The stepwise regression model explained 30.5% of the variance in students’ scores, while a Discriminant Function Analysis predicted with substantial accuracy (75.1%) whether they are high or low performance students.
    Original languageEnglish
    Title of host publicationArtificial Intelligence in Education
    Subtitle of host publication18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings
    EditorsElisabeth André , Ryan Baker, Xiangen Hu, Ma. Mercedes T. Rodrigo , Benedict du Boulay
    PublisherSpringer International Publishing AG
    Pages52-63
    Edition1
    ISBN (Electronic)978-3-319-61425-0
    ISBN (Print)978-3-319-61424-3
    DOIs
    Publication statusPublished - 2017
    EventArtificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017 - Wuhan, China
    Duration: 28 Jun 20171 Jul 2017
    http://119.97.166.163/

    Publication series

    SeriesLecture Notes in Artificial Intelligence (subseries)
    Volume10331

    Conference

    ConferenceArtificial Intelligence in Education
    Abbreviated titleAIED 2017
    Country/TerritoryChina
    CityWuhan
    Period28/06/171/07/17
    Internet address

    Keywords

    • Automated essay scoring
    • textual complexity assessment
    • academic performance
    • Readerbench framework
    • Dutch semantic models
    • Games
    • Learning

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