Overview
Project status: In progress
As the creative industries grow in sheer size, revenue and diversity of products this computer-based holistic methodology will deliver a level of accountability and reliability not currently available.
- Research leader
- Organisational unit
- Lead unit Creative Industries Faculty Other units
- Start date
- 1st January 2010
- End date
- 1st January 2013
- Research area
- Innovation in the performing and digital arts
Details
Abstract
Higher education students now submit hybrid creative works that cross discipline boundaries. This situation poses major assessment issues for students, teachers and employers who all share an interest in the identification of exemplary creative works.The elusive qualities of creativity are difficult to identify, let alone measure, as many still believe it to be an objective, inherent trait, rather than acquired through education.
This project will develop a holistic methodology that assists students, teachers and industry agents to assess such works (visually, qualitatively & quantitatively) using a common language. This research will redefine assessment practices for creative arts in higher education.
The goal is to create a new methodology capable of assessing all manner of creative works based upon the patented "pairs engine" algorithm developed in the UK E-scape project.
Project Description
The analytic judgement of creative works using long lists of preset criteria has proved problematic for numerous reasons. This research activity instils holistic judgment approaches with proven scientific rigour (currently reporting 0.95 inter-judge reliability).
Partnerships
GoldSmith College University of London, UK.Publications and output
- E-scape authoring tools and the "pairs engine" ranking system used by across QUT's new Music & Sound courses
- Extend the new teaching, learning and assessment methodology across the whole Creative Arts cohort within the Creative Industries Faculty
- Create a new E-learning Centre that develops, invests and incorporates this methodology with my 3G Learner Support model, which received 3rd prize in the recent bluebox Ideas Competition.
