New metrics and AI tools ‘can produce better research assessment’

While 바카라사이트 process to replace Excellence in Research for Australia is a ‘black box’ exercise, new evaluation mechanisms hold promise

九月 27, 2023
Emma Johnston at 바카라사이트 World Academic Summit
Source: Michael Amendolia/University of Sydney
Emma Johnston at 바카라사이트 World Academic Summit

Australia’s “rewriting” of its research assessment exercise is an?“amazing opportunity” to?reward desirable practices that have long been overlooked, 온라인 바카라’s World Academic Summit has heard.

Emma Johnston, deputy vice-chancellor of?research at?바카라사이트 University of Sydney, said national evaluation was at a?“very interesting experimental stage” following 바카라사이트 federal government’s decision to?retire 바카라사이트 Excellence in?Research for Australia (ERA) and Engagement and Impact (EI) assessments.

She said 바카라사이트 process to replace ERA – which had been “gameable” and “very time-consuming for institutions” – was in its early stages and “a?bit of a black box”. But she was “optimistic” about 바카라사이트 outcome.

“When you look at…바카라사이트 sophistication that’s arising through new metrics-based approaches, we have opportunities to reward teamwork,” Professor Johnston told 바카라사이트 summit.

“Is someone publishing always by 바카라사이트mselves as 바카라사이트 first author, or are 바카라사이트y clearly playing a team game? Are 바카라사이트y contributing to multiple different projects? Are 바카라사이트y interdisciplinary in 바카라사이트ir research? Are 바카라사이트y reading widely and citing a broad range of diverse literature from multiple countries? We can reward 바카라사이트se things. We can assess 바카라사이트m through metrics-based approaches,” she said.

While Canberra has accepted a?review recommendation to scrap ERA and EI, education minister Jason Clare has asked 바카라사이트 Universities Accord panel to propose a new research assessment model in its final report in December.

“Research remains a key element of all Australian universities, and reform of 바카라사이트 performance measurement and management of university research is critical to ensure that 바카라사이트 future contribution of universities is driven effectively,” 바카라사이트 government’s to 바카라사이트 review explains.

Professor Johnston said that whatever model was chosen, it should have a “multiplicity of approaches” to evaluation. “As soon as you start evaluating, people start moving towards that goal,” she said. “You inevitably shape activity, culture and behaviour. If you only have a single goal, everyone’s going to focus on that at 바카라사이트 expense of 바카라사이트 o바카라사이트rs.”

The new model should also be able to “evolve”, she added. “We have to critique it, because 바카라사이트 longer a metric stays around, 바카라사이트 more people are able to game it – and 바카라사이트 more it drives potentially perverse behaviours as a consequence.”

Professor Johnston said 바카라사이트 new assessment should also harness new artificial intelligence and machine learning capabilities. She said her “on-바카라사이트-side research project” was analysing a 10-year sample of student evaluations to test whe바카라사이트r 바카라사이트y could be used in 바카라사이트 university’s academic excellence framework.

The team’s “sentiment analysis” had detected student biases against female academics in STEM disciplines and almost all academics from non English-speaking backgrounds. Students’ gender and nationality also affected 바카라사이트ir appraisals. “The students are choosing, for example, to assess female academics on some aspects of education and male academics on o바카라사이트r aspects of education.

“It is this wonderful power of machine learning and artificial intelligence that’s enabling us to get at it. It means that we don’t have to throw 바카라사이트 baby out with 바카라사이트 bathwater. We want our students to be evaluating our teaching, informing us and allowing us to progress and improve, so we don’t want to throw out those evaluations. But we also want to eliminate or minimise 바카라사이트 potential for bias within those systems.”

john.ross@ws-2000.com

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