References
- Brown G. Review of education in mathematics, data science and quantitative disciplines. Turner: The Group of Eight; 2009.
- Goos M. Numeracy across the curriculum. Aust Math Teach. 2012;68(1):3–7.
- Wilson R, Mack J. Declines in high school mathematics and science participation: evidence of students’ and future teachers’ disengagement with maths. Int J Innov Sci Math Educ. 2014;22(7):35–48.
- Boyd WE, Cullen M, Bass D, et al. A response to apparently low levels of numeracy and literacy amongst first year university environmental science students: a numeracy and literacy skills survey. Int Res Geogr Environ Educ. 1998;7(2):106–121.
- Jackson DC, Johnson ED. A hybrid model of mathematics support for science students emphasizing basic skills and discipline relevance. Int J Math Educ Sci Technol. 2013;44(6):846–864.
- McNaught K, Hoyne G. Testing program reveals deficient mathematics for health science students commencing university. Issues Educ Res. 2013;23(2):180–195.
- Australian Academy of Science. Mathematics and statistics: critical skills for Australia's future. Melbourne: University of Melbourne; 2006; p. 58.
- Quinnell R, Thompson R, LeBard RJ. It's not maths; it's science: exploring thinking dispositions, learning thresholds and mindfulness in science learning. Int J Math Educ Sci Technol. 2013;44(6):808–816.
- Wilson TM. Exercising QS: quantitative skills in an exercise science course. Int J Math Educ Sci Technol. 2013;44(6):796–807.
- Bengmark S, Thunberg H, Winberg TM. Success-factor in transition to university mathematics. Int J Math Educ Sci Technol. 2017;48(7):988–1001.
- Matthews KE, Adams P, Goos M. The influence of undergraduate science curriculum reform on students’ perceptions of their quantitative skills. Int J Sci Educ. 2015;37(16):2619–2636.
- Ni Fhloinn E, Fitzmaurice O, Ma an Bhaird C, et al. Student perception of the impact of mathematics support in higher education. Int J Math Educ Sci Technol. 2014;45(7):953–967.
- Rylands LJ, Coady C. Performance of students with weak mathematics in first-year mathematics and science. Int J Math Educ Sci Technol. 2009;40(6):741–753.
- Nicholas J, Poladian L, Mack J, et al. Mathematics preparation for university: entry, pathways and impact on performance in first year science and mathematics subjects. Int J Innov Sci Math Educ. 2015;23(1):37–51.
- ACARA. F-10 Curriculum/General Capabilities/Numeracy. 2017. Available from: https://www.australiancurriculum.edu.au/f-10-curriculum/general-capabilities/numeracy/
- Hoyles C, Noss R, Pozzi S. Proportional reasoning in nursing practice. J Res Math Educ. 2001;32(1):4–27.
- Lawton CA. Contextual factors affecting errors in proportional reasoning. J Res Math Educ. 1993;24(5):460–466.
- Barrington F. Participation in Year 12 mathematics across Australia 1995–2004. Melbourne: International Centre of Excellence for Education in Mathematics and the Australian Mathematical Sciences Institute; 2006.
- Tariq VN, Durrani N. Factors influencing undergraduates’ self-evaluation of numerical competence. Int J Math Educ Sci Technol. 2012;43(3):337–356.
- MacGillivray H, Croft T. Understanding evaluation of learning support in mathematics and statistics. Int J Math Educ Sci Technol. 2011;42(2):189–212.
- Jackson DC, Johnson ED, Blanksby TM. A practitioner's guide to implementing cross-disciplinary links in a mathematics support program. Int J Innov Sci Math Educ. 2014;22(1):67–80.