Evaluating students' self-assessment in large classes

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


This study is part of an ongoing larger project concerning student self-assessment skills in university courses. We have developed a method enabling large cohorts of students to assess their own learning outcomes and to give their own course grades with the help of an automatic verification system. This paper explores the question of accuracy, namely, whether the self-assessed grades correspond to the students’ actual skills, and how well the automatic system can pick up issues in the self-assessment. Based on an expert’s evaluation of the skills of two students, we conclude that although for large part the model works as intended, there are some cases where neither the self-assessment nor the computer verification seem to be accurate.
Translated title of the contributionOpiskelijoiden itsearvioinnin laaduntarkastelua suuren kurssin kontekstissa
Original languageEnglish
Title of host publicationProceedings of the Eleventh Congress of the European Society for Research in Mathematics Education
EditorsUffe Jankvist, Marja van den Heuvel-Panhuizen, Michiel Veldhuis
Number of pages8
Place of PublicationUtrecht
PublisherFreudenthal Group & Freudenthal Institute, Utrecht University
Publication dateFeb 2019
ISBN (Print)978-90-73346-75-8
Publication statusPublished - Feb 2019
MoE publication typeA4 Article in conference proceedings
EventCERME 11 - Utrecht, Netherlands
Duration: 6 Feb 2019 → …

Fields of Science

  • 111 Mathematics
  • 516 Educational sciences

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