Trialling Second Life machinima to promote discussion and support learning in the Australian sugar...
-
Upload
helen-farley -
Category
Education
-
view
594 -
download
3
description
Transcript of Trialling Second Life machinima to promote discussion and support learning in the Australian sugar...
Trialling Second Life machinima to promote discussion and support learning in the Australian sugar industry: Stakeholder responses are encouraging…
CreateWorld 2014, Brisbane
Ms Joanne Doyle
Today’s session…
Australian climate Highest level of year-to-year rainfall variability
globally
Decision-making under uncertainty
Increasing demands on science to provide information for complex decision making to manage climate and related risk
How can science best support complex decision making?
Collaborative Research Network (USQ Project 3)
Investigating the impact of a web-based, ‘discussion-support’, agricultural-climate information system on Australian farmers’ operational decision making to enhance farm management decision-
making around climate risk to support sustainable (resilient)
agricultural systems and rural communities Collaboration: USQ ACSC & ADFI, ANU, UniSA,
CANEGROWERS, Top Dingo
Better support for on-farmdecision-making
Farming systems science
Seasonal forecast modelling
Informed decision making and improved climate risk management
Project objective
Discussion Forum
Targeted climate
information
Interactive predictive models
Virtual scenarios
OUTCOMES
IMPACTImproved climate
knowledgeImproved
decision-makingImproved
climate risk management
SocialEconomic
Environmental
Research impact is…
…the demonstrable contribution that research makes to the economy, society, culture, national security, public policy or services, health, the environment, or quality of life, beyond contributions to academia.
Source: ARC, 2012
Second Life
A virtual world User-created content and virtual marketplace Avatars can be customised and manipulated Machinima can be created
screen capture software (eg FRAPS) to create machinima
recorded soundtracks
Real World Virtual World
Machinima
Avatars
Courtesy: Neil Cliffe
Sweet success in 2013
Evaluation process
Workshop
Evaluations from 13
workshops
(207 participants)
17 semi-structured
Interviews to evaluate
prototype machinima
Deliver 6 workshops with
machinima exposure.
Pre and post workshop surveys
Workshop group output
Semi-structured interviews
2012
2014
2013
Early results
Courtesy: Mr Neil Cliffe, Australian Centre for Sustainable Catchments, University of Southern Queensland
Mean rating of value (1 = low value; 10 = high value): Farmers: 6.9 (N = 7); Extension Officers: 7.2 (N = 6); Canegrowers Org: 6.4 (N = 4)
Quotes: Farmers, Extension Officers &
Industry Organisation
Characters: very accurate; good cross
section; too clean, shiny and young Setting:
looked like a cane farm;standard shed meeting; appropriate for audience
Appeal in conveying messages: good for prompting and helping discussion; good medium to get message across; useful
for other topics; very innovative
Key messages:planning; too basic;
discussion of decisions; seasonal forecasting
and probabilities
First impressions: typical farmer conversation; realistic scenario; choppy graphics; well put
together; starts people thinking about risk; prefer real actors
Key outcomes to date
Machinima: a useful tool to support discussions around climate risk
Audio: scripts appropriately targeted to discussion topics
Visual: avatar ‘look’ was extremely important Technical challenge: seamless link between
climate forecasts and discussions
Looking ahead…Creation of further machinima:Irrigation, Fertiliser, Verandah
Acknowledgement
This project is supported through the Australian Government’s Collaborative Research Networks (CRN) program.
’Digital Futures’ is the CRN research theme for the University of Southern Queensland
Team members: PhD candidate: Neil Cliffe (ACSC, USQ)
Research Fellow: Kate Reardon-Smith (ACSC, USQ)
ACSC (USQ) researchers: Roger Stone, Shahbaz Mushtaq, Torben Marcussen, Tek Maraseni
ADFI (USQ) researchers: Helen Farley, Joanne Doyle, Neil Martin
Research collaborators:Janette Lindesay (ANU), Adam Loch (UniSA), Jeff Coutts (USQ Adjunct)
Research partners:Noel Jacobson and Amanda Hassett (Top Dingo),
Matt Kealley (CANEGROWERS)
Acknowledgement
Thank you