‘Enhancing Fieldwork Learning’ aims to promote ways to enhance student learning during fieldwork through the use of technology. Pedagogy rather than technology drives its objectives. Funding for the project itself ended in 2013, but the BES joined the team in 2014 to continue building the project.
Enhancing Fieldwork Learning Showcase Event 2016
12-13th September 2016, University of Reading
You are invited to attend and contribute to the 6th Annual Showcase event run by the Enhancing Fieldwork Learning project in collaboration with the British Ecological Society. Building on the previous Showcases, the event aims to share ideas and practice with regards to innovative field and laboratory Teaching and Learning, with a particular emphasis on the use of technology. The 2016 programme will have a focus on Imagery in the Field (including practical demonstrations of aerial drones and underwater robots).
The event will be of interest to practitioners from a range of disciplines including Physical and Human Geography, Earth and Environmental Sciences, Ecology and the wider Biosciences. It will be suitable for both experienced practitioners and those new to fieldwork teaching.
The event will be held at the University’s Whiteknights campus and will include presentations, hands-on workshops and practical challenges, both indoors and outdoors. We are currently accepting submissions for both thematic presentations and longer workshops.
This year we are particularly interested in receiving submissions related to the following themes:
- Imagery in the field
- Interdisciplinary working
- Fieldwork in urban environments
- Participatory approaches to fieldwork learning
The EFL project has run five previous showcase events which led to active discussions, sharing of good practice and networking opportunities amongst the demonstrators and participants.
This event costs £45, including food. Delegates will need to book accommodation separately (please contact us for suggestions of hotels). Registration is limited to 60 places which will be allocated on a first come, first served basis.
Please submit abstracts no later than May 12th.
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