Research skills: quantitative (biostatistics, epidemiology, survey validation, Rasch item response models, and others), qualitative and mixed methods, corpus linguistics analysis, literature reviews, nationally accredited editor.
Health research: CALD, public health, nursing & midwifery, mental health, assistance dogs.
Linguistic research: language testing, language policy, medical terminology, health communication, educational apps.
Teaching: research methods and knowledge translation (nursing & midwifery), quantitative methods (health sciences), linguistics (speech pathology), Nursing English.
BA (Social Sciences) Hons: Psychology, English, Sociocultural Anthropology
PhD (English/Linguistics): Corpus Lingustics, Sociolinguistics
Grad Cert Public Health (Biostatistics, Epidemiology, Social Determinants)
Grad Cert TESOL
Grad Cert Education (Higher Ed)
Introduction to Classical and Rasch Measurement Theories (graded topic)
Dog Behaviour and Training (National Dog Trainers Federation Cert III)
Positions and Accreditations
Flinders University Council academic staff member (2018, 2019-20, 2021-22)
Australian Research Council (ARC) Assessor
TEQSA Register of Experts (one of approx 300 nationally)
Nationally Accredited Editor (IPEd) (one of approx 309 nationally)
Nationally Accredited Dog Behaviour and Training
HONOURS & AWARDS
2018 Australian Awards for University Teaching - Citation for Outstanding Contribution to Student Learning
2018 National Excellence Award for Best Practice in International Education (International Education Association of Australia)
2017 College of Nursing and Health Sciences Award - Outstanding Individual Prize (Innovation)
2017 Vice-Chancellor's Award for Excellence in Teaching
2015 Vice-Chancellor's Award for Early Career Researchers
2014 Faculty Executive Dean's Teaching Excellence Award
2014 Quality Labels for Valid Serious Games (Dutch Society for Simulation in Healthcare)
2012 HESTA 'Innovation in Nursing' category finalist (top 3)
2004 FUSA Service to International Students Award
2022 "Benchmark of English Language Requirements" TEQSA ($32,175)
2020 “Co-design and evaluation of resources and training strategies to support technology use in the hospital setting” CRG8: Collaborative Research ($46,891)
2020 "Error rates and types expected for IELTS half-band scores between 5.5-7.5, and the effect of this knowledge on stakeholders" IELTS Research Grants ($48,438)
2019 "Updating the ALL University Register of Teaching and Learning Centres/Units" AALL ($3901)
2017 “Development of an interactive online teaching tool to promote nursing students’ clinical decision making skills” FMNHS T&L Innovation ($5,000)
2017 “Evaluating the impact of a 3D cultural simulation experience” SoNM Start-up ($4,974)
2016 “A causal experimental study of the reciprocal relationship between vocabulary knowledge, IELTS, and academic grades.” Flinders Re-Entry Fellowship ($40,000)
2015 “Vocabulary size effects on the academic achievement of equity groups.” SoNM Start-up ($4,981)
2014 “Improving International Students’ Writing Skills.” SoNM Strategic Research Initiative ($5,000)
2014 “viRtual Nurse education” SoNM seed grant ($4,608)
2010 “CALL for Nursing English.” Flinders T&L Innovation ($10,000)
2010 “InSoNMia project.” SoNM Project ($50,477)
Clinical Communication, Nursing English, Linguistics, Educational Gaming, e-Learning, Quantitative Research Methods, Postgraduate Nursing, Epidemiology, Population Health.
Assistance Dog work
Welcome to the Paw Rights App which allows you to record assistance dog access refusals and have documentation of the event sent to your email, along with links of where to make a complaint. You can save a link to the site on your phone's home screen. This app is a part of a national study. With your help, enough data will be gathered to document the full national problem of assistance dog refusals, and we will be making the case for both an official single-point complaint system and more definitive action against those who break the law by refusing access. Please try Paw Rights and we welcome your feedback about improving it.
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