Towards grading automation of open questions using machine learning

A.I. Aldea, S.M. Haller, M.G. Luttikhuis

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

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Abstract

Assessing the academic capabilities of students should play a key role in both
stimulating their learning process (formative assessment) and in the accurate
evaluation of their knowledge and capabilities in relation to a topic (summative
assessment). Therefore, according to the principle of constructive alignment, any
form of assessment needs to be carefully designed to match the learning outcomes of a course and needs to be delivered in an appropriate format (paper-based vs. computer-based) and graded in a suitable manner. However, this is a challenging task, due to the substantial amount of time teachers need to spend on grading open questions. From our experience, this results in using less appropriate assessment methods (e.g.: Multiple Choice questions) or in less time spent by teachers on innovating their courses (e.g.: implementation of formative assessment). Inspired by recent developments in academia and practice, we propose to investigate the application of machine learning technology for supporting grading of open questions, with a focus on summative assessment and exploring possibilities for formative assessment. Our expected results include the design of a method for supporting grading of open questions with machine learning, an investigation into the most suitable machine learning algorithms for small samples of tests.
Original languageEnglish
Title of host publicationEngaging, Engineering, Education
Subtitle of host publicationBook of Abstracts, SEFI 48th Annual Conference University of Twente (online), 20-24 September, 2020
EditorsJan van der Veen, Natascha van Hattum-Janssen, Hannu-Matti Järvinen, Tinne de Laet, Ineke ten Dam
Place of PublicationEnschede
PublisherUniversity of Twente
Pages584-593
Number of pages10
ISBN (Electronic)978-2-87352-020-5
Publication statusPublished - 2020
Event48th SEFI Annual Conference on Engineering Education, SEFI 2020 - Online, Enschede, Netherlands
Duration: 20 Sep 202024 Sep 2020
Conference number: 48
https://www.sefi2020.eu

Conference

Conference48th SEFI Annual Conference on Engineering Education, SEFI 2020
Abbreviated titleSEFI 2020
CountryNetherlands
CityEnschede
Period20/09/2024/09/20
Internet address

Keywords

  • Automated grading
  • Machine learning
  • Natural language processing
  • Open questions

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