Kimberley Beasley, Murdoch University, School of Education Australia
Joanna Kacprzyk, University College Dublin, School of Biology and Environmental Science, Ireland
Dawn Sanders, University of Gothenburg, Faculty of Education, Sweden
Download the description here.
© Peter Pany
Join remote
You can join the session on Semptember 1st, 4-5:30 p.m. remote via this link: univienna.zoom.us/j/67533342709
Meeting-ID: 675 3334 2709
Code: 950239
Description
Around the globe, research is being undertaken on the plant knowledge of people across a wide
range of demographics. Qualitative and arts-based research methods are increasingly being used for
these studies. This workshop will share research methods from three projects in Australia, Ireland
and Sweden which researched plant awareness with different groups of research participants. The
common methodological strand across the projects is an arts-based approach. In this workshop
postcards, layered mapping, drawing and photographs, art installations, impression sheets and
conversations over time will be examined in relation to the following questions:
- Which research methods could enable the study of plant awareness across diverse demographics?
- How can the arts support researchers to collect data on plant awareness?
- By looking through an artistic lens is it possible to appreciate/identify/ acknowledge plants in new ways?
References
Beasley, K., Hesterman, S., & Lee-Hammond, L. (2022). Reviving botany in the curriculum: The botanical journey of two Western Australian early childhood teachers. Australian Journal of Environmental Education. https://doi.org/10.1017/aee.2022.42
Beasley, K., Lee-Hammond, L., & Hesterman, S. (2021). A framework for supporting the development of botanical literacies in early childhood education. International Journal of Early Childhood, 1-19. https://doi.org/10.1007/s13158-021-00291-x
Snæbjörnsdóttir, B., Wilson, M. & Sanders, D. (2020) Beyond Plant Blindness: Seeing the importance of plants for a sustainable world. Green Box Publications: Berlin