Complexity in Education for Sustainable Consumption—An Educational Data Mining Approach using Mysteries

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Jens Christian Benninghaus
  • Andreas Mühling
  • Kerstin Kremer
  • Sandra Sprenger

Externe Organisationen

  • IPN - Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik
  • Universität Hamburg
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer722
FachzeitschriftSustainability
Jahrgang11
Ausgabenummer3
Frühes Online-Datum30 Jan. 2019
PublikationsstatusVeröffentlicht - 1 Feb. 2019
Extern publiziertJa

Abstract

Systems thinking is one of the skills necessary for sustainable behavior, especially regarding sustainable consumption. Students are faced with complexity and uncertainty while taking part in it and other daily life aspects. There is a need to foster their competence in this field. From a classroom point of view, the mystery method is an example for implementing education for sustainable consumption and working with complex and uncertain content. With the mystery method students construct an influence diagram, which consists of concepts and requires several skills, especially in decision-making. Using these diagrams as a form of assessment is desirable but also very difficult, because of the mentioned complexity and uncertainty that is part of the task itself. The study presented here tackles this problem by creating an expert based reference diagram that has been constructed with the help of educational data mining. The result shows that it is possible to derive such a reference even if parts remain ambiguous due to the inherent complexity. The reference may now be used to assess students' systems thinking abilities, which will be undertaken in future research. Beside this, the reference can be used as a reflective tool in lessons, so students can compare their own content knowledge and discuss differences to the experts' reference.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

Complexity in Education for Sustainable Consumption—An Educational Data Mining Approach using Mysteries. / Benninghaus, Jens Christian; Mühling, Andreas; Kremer, Kerstin et al.
in: Sustainability, Jahrgang 11, Nr. 3, 722, 01.02.2019.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Benninghaus JC, Mühling A, Kremer K, Sprenger S. Complexity in Education for Sustainable Consumption—An Educational Data Mining Approach using Mysteries. Sustainability. 2019 Feb 1;11(3):722. Epub 2019 Jan 30. doi: 10.3390/su11030722
Benninghaus, Jens Christian ; Mühling, Andreas ; Kremer, Kerstin et al. / Complexity in Education for Sustainable Consumption—An Educational Data Mining Approach using Mysteries. in: Sustainability. 2019 ; Jahrgang 11, Nr. 3.
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