Evaluating the long-term impact of digital skills training on researchers’ workflows and outputs
Dr Anastasios Papaioannou1, Mr Aidan Wilson1,2, Dr Ghulam Murtaza1, Mrs Marium Afzal Khan1,3, Mr Shaun Grady1, Dr Weisi Chen1,4
1Intersect Australia, Sydney, Australia
2Australian Catholic University, Sydney, Australia
3University of Adelaide, Adelaide, Australia
4University of Technology Sydney, Sydney, Australia
Since 2013, we have trained more than 23,000 researchers in digital tools/technologies. Universities have had a growing demand to showcase high research quality and impact nationally and internationally. In turn, there is a need to demonstrate the impact of digital skills training on researchers. While short-term assessment of our training program is successfully captured and reported, determining long-term behavioural change and impact on Higher Degree Research students, researchers, and staff is more challenging.
To this end, we developed a survey to assess the long-term impact of our digital skills training on researchers. We furthermore took the opportunity to gain insights into three other key areas of interest: 1) the relationship between training and support structures at universities; 2) the link between training and research outputs and grants; and 3) the comparison between live workshops and self-paced learning. This survey is now embedded in our ongoing processes, and sent biannually to our member university researchers and staff who attended our training a year prior.
In the first distribution (June 2021), the survey was sent to those who attended a course between January 2019 and June 2020. We received 740 responses out of approximately 4,800 invitations, a response rate of more than 15%.
In this presentation, we discuss the survey design and interpret what the results mean for the delivery of digital skills training, the long term impact of that training, and investigate the relationship between training and key value indicators such as research outputs and grants.
Dr Anastasios Papaioannou is the eResearch Training Manager & Lead Research Data Scientist at Intersect. Anastasios holds a Ph.D. in Computational Biophysics with his research focus being on Data Science, Machine Learning and computational methods in applied medicine and biology. With over 8+ years of experience as an Academic Tutor and eResearch Instructor and 10+ years of research experience, Anastasios works collaboratively with universities to help researchers enhance their skills and find solutions to their research challenges and problems.