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Knowledge of Student Teachers on Sustainable Land Use Issues–Knowledge Types Relevant for Teacher Education

Author

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  • Lisa Richter-Beuschel

    (Department of Biology Education, University of Göttingen, 37073 Göttingen, Germany)

  • Susanne Bögeholz

    (Department of Biology Education, University of Göttingen, 37073 Göttingen, Germany
    Centre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen, 37073 Göttingen, Germany)

Abstract

For restructuring educational processes and institutions toward Sustainable Development, teachers’ knowledge and competences are crucial. Due to the high relevance of teachers’ content knowledge, this study aimed to (i) assess Sustainable Development-relevant knowledge by differentiating between situational, conceptual and procedural knowledge, (ii) find out via item response theory modelling how these theoretically distinguished knowledge types can be empirically supported, and (iii) link the knowledge dimension(s) to related constructs. We developed a paper-and-pencil test to assess these three knowledge types ( N = 314). A two-dimensional structure that combines situational and conceptual knowledge and that distinguishes situational/conceptual knowledge from procedural knowledge, fits the data best (EAP/PV situational/conceptual: 0.63; EAP/PV procedural: 0.67). Student teachers at master level outperformed bachelor level students in situational/conceptual knowledge but master level students did not differ from students at bachelor level regarding procedural knowledge. We observed only slight correlations between the two knowledge dimensions and the content-related motivational orientations of professional action competence. Student teachers’ deficits in procedural knowledge can be attributed to the small number of Education for Sustainable Development-relevant courses attended. Systematically fostering procedural knowledge in teacher education could promote achieving cognitive learning objectives associated with Sustainable Development Goals in the long term.

Suggested Citation

  • Lisa Richter-Beuschel & Susanne Bögeholz, 2020. "Knowledge of Student Teachers on Sustainable Land Use Issues–Knowledge Types Relevant for Teacher Education," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8332-:d:425730
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    References listed on IDEAS

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    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Janna Niens & Lisa Richter-Beuschel & Susanne Bögeholz, 2020. "Land-Use and Health Issues in Malagasy Primary Education—A Delphi Study," Sustainability, MDPI, vol. 12(15), pages 1-31, August.
    3. Sebastian Koch & Jan Barkmann & Micha Strack & Leti Sundawati & Susanne Bögeholz, 2013. "Knowledge of Indonesian University Students on the Sustainable Management of Natural Resources," Sustainability, MDPI, vol. 5(4), pages 1-18, March.
    4. Francisco Zamora-Polo & Jesús Sánchez-Martín & Mario Corrales-Serrano & Luis Espejo-Antúnez, 2019. "What Do University Students Know about Sustainable Development Goals? A Realistic Approach to the Reception of this UN Program Amongst the Youth Population," Sustainability, MDPI, vol. 11(13), pages 1-19, June.
    5. Mandy Singer-Brodowski & Nadine Etzkorn & Janne Von Seggern, 2019. "One Transformation Path Does Not Fit All—Insights into the Diffusion Processes of Education for Sustainable Development in Different Educational Areas in Germany," Sustainability, MDPI, vol. 11(1), pages 1-17, January.
    6. Franziska Bertschy & Christine Künzli & Meret Lehmann, 2013. "Teachers’ Competencies for the Implementation of Educational Offers in the Field of Education for Sustainable Development," Sustainability, MDPI, vol. 5(12), pages 1-14, November.
    7. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    8. Marko Böhm & Jan Barkmann & Sabina Eggert & Claus H. Carstensen & Susanne Bögeholz, 2020. "Quantitative Modelling and Perspective Taking: Two Competencies of Decision Making for Sustainable Development," Sustainability, MDPI, vol. 12(17), pages 1-32, August.
    9. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
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    1. Janna Niens & Lisa Richter-Beuschel & Tobias C. Stubbe & Susanne Bögeholz, 2021. "Procedural Knowledge of Primary School Teachers in Madagascar for Teaching and Learning towards Land-Use- and Health-Related Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-36, August.
    2. Rubén Ladrera & Beatriz Robredo & Unai Ortega-Lasuen & José Ramón Díez & Aritz Ruiz-González, 2020. "Unprepared to Deal with Invasion: Pre-Service Teachers’ Perception, Knowledge and Attitudes toward Invasive Species," Sustainability, MDPI, vol. 12(24), pages 1-17, December.
    3. Kevin Handtke & Lisa Richter-Beuschel & Susanne Bögeholz, 2022. "Self-Efficacy Beliefs of Teaching ESD: A Theory-Driven Instrument and the Effectiveness of ESD in German Teacher Education," Sustainability, MDPI, vol. 14(11), pages 1-32, May.

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