Pages tagged with: outdoor-learning
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Researchers work with school to develop new guidelines on outdoor learning
A partnership between University academics and a local multi academy trust (MAT) is involving Plymouth schoolchildren in the latest research into outdoor learning.
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OelResNet news and events 2017
University of Plymouth: Outdoor & Experiential Learning Research Network news and events 2017 archive
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OelResNet news and events 2016
University of Plymouth: Outdoor & Experiential Learning Research Network news and events 2016 archive
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Good from Woods research toolkit
The toolkit is designed to help you do rigorous research into whether your woodland activity has an impact on the health and wellbeing of participants.
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Good from Woods case studies
Explore the projects to find out how these woodland activities affected the health and wellbeing of the people involved.
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Good from Woods
Good from Woods was a National Lottery funded research project led by the Silvanus Trust and University of Plymouth, in partnership with the Woodland Trust, Neroche scheme and Forest Research. It started in April 2010 and ran until December 2014.
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Toolkit - using your research findings
So you’ve done the research and written up or presented your findings. Don’t let your hard work be left in a dusty drawer, use your research to its full potential.
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Toolkit - wellbeing indicators
The Good from Woods wellbeing indicators draw on and were developed in association with the NHS/New Economics Foundation’s 5 steps to wellbeing: connect, be active, keep learning, give to others, take notice.
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Toolkit - research motivations
It’s important to establish early on in your project why you are undertaking the research, what you hope to find out and how you will use your findings.
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Toolkit - research skills
When starting a research project, think about existing skills and resources
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Toolkit - presenting your findings
Moving from the analysis to the reporting stage can be a challenging part of the research.
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Toolkit - analysing your data
In order to analyse the data you have collected you need to categorise or ‘test’ it against something.