References
- Anaya, G. (1999). College impact on student learning: Comparing the use of self-reported gains, standardized test scores, and college grades. Research in Higher Education, 40(5), 499–526. doi: 10.1023/A:1018744326915
- Atweh, B., & Brady, K. (2009). Socially response-able mathematics education: Implications of an ethical approach. Eurasia Journal of mathematics, science & technology education, 5(3), 267–276.
- Australian Learning and Teaching Council. (2010). Learning and teaching academic standards (LTAS) project.
- Barrie, S. C. (2007). A conceptual framework for the teaching and learning of generic graduate attributes. Studies in Higher Education, 32, 439–458. doi: 10.1080/03075070701476100
- Berlin, D. F., & Hyonyong, L. (2005). Integrating science and mathematics education: Historical analysis. School Science and Mathematics, 105, 15–24. doi: 10.1111/j.1949-8594.2005.tb18032.x
- Boyd, W. B. E., Healey, R. L., Hardwick, S. W., Haigh, M., Klein, P., Doran, B., Trafford, J., & Bradbeer, J. (2008). ‘None of us sets out to hurt people’: The ethical geographer and geography curricula in higher education. Journal of Geography in Higher Education, 32(1), 37–50. doi: 10.1080/03098260701731462
- Brown, G. (2009). Review of education in mathematics, data science and quantitative disciplines: Report to the Group of Eight Universities, Canberra: Group of Eight.
- Brownell, S. E., & Tanner, K. D. (2012). Barriers to faculty pedagogical change: Lack of training, time, incentives, and … Tensions with professional identity?. Life Sciences Education, 11(4), 339–346. doi: 10.1187/cbe.12-09-0163
- Coates, H. (2009). What is the difference? A model measuring the value added by higher education in Australia. Higher Education Management and Policy, 21(1), 77–96. Retrieved from http://www.oecd.org/edu/imhe/50309916.pdf doi: 10.1787/hemp-v21-art5-en
- Coates, H., & Richardson, S. (2011). An international assessment of bachelor degree graduates’ learning outcomes. Higher Education Management and Policy, 23(3), 51–70.
- Cox, P. J., Leder, G. C., & Forgasz, H. J. (2004). Victorian certificate of education: Mathematics, science and gender. Australian Journal of Education, 48(1), 27–46. doi: 10.1177/000494410404800103
- Curran, V. R., Sharpe, D., Forristall, J., & Flynn, K. (2008). Attitudes of health sciences students towards inter professional teamwork and education. Learning in Health and Social Care, 7(3), 146–156. doi: 10.1111/j.1473-6861.2008.00184.x
- Denson, N., Loveday, T., & Dalton, H. (2010). Student evaluation of courses: What predicts satisfaction?. Higher Education Research and Development, 29, 339–356. doi: 10.1080/07294360903394466
- Douglass, J. A., Thomson, G., & Zhao, C. M. (2012). The learning outcomes race: The value of self-reported gains in large research universities. Higher Education, 64(3), 317–335. doi: 10.1007/s10734-011-9496-x
- Ewell, P. T. (2013). The lumina degree qualifications profile (DQP): Implications for assessment. Occasional Paper# 16. National Institute for Learning Outcomes Assessment.
- Gupta, M. L. (2004). Enhancing student performance through cooperative learning in physical sciences. Assessment & Evaluation in Higher Education, 29(1), 63–73. doi: 10.1080/0260293032000158162
- de la Harpe, B., & David, C. (2012). Major influences on the teaching and assessment of graduate attributes. Higher Education Research & Development, 31, 493–510. doi: 10.1080/07294360.2011.629361
- Harris, L., Driscoll, P., Lewis, M., Matthews, L., Russell, C., & Cumming, S. (2010). Implementing curriculum evaluation: Case study of a generic undergraduate degree in health sciences. Assessment & Evaluation in Higher Education, 35(4), 477–490. doi: 10.1080/02602930902862883
- Henderson, C., Beach, A., & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature. Journal of Research in Science Teaching, 48(8), 952–984. doi: 10.1002/tea.20439
- Klein, S., Benjamin, R., Shavelson, R., & Bolus, R. (2007). The collegiate learning assessment: Facts and fantasies. Evaluation Review, 31, 415–439. doi: 10.1177/0193841X07303318
- Koenig, J. (2011). A survey of the mathematics landscape within bioscience undergraduate and postgraduate UK higher education, Leeds: UK Centre for Bioscience, Higher Education Academy.
- Kuh, G. (2001). Assessing what really matters to student learning: Inside the national survey of student engagement. Change, 33(3), 10–17. doi: 10.1080/00091380109601795
- Kuh, G., & Ewell, P. (2010). The state of learning outcomes assessment in the United States. Higher Education Management and Policy, 22(1), 1–20. doi: 10.1787/hemp-22-5ks5dlhqbfr1
- Leggett, M., Kinnear, A., Boyce, M., & Bennett, I. (2004). Student and staff perceptions of the importance of generic skills in science. Higher Education Research & Development, 23, 295–312. doi: 10.1080/0729436042000235418
- Luthar, H. K., DiBattista, R. A., & Gautschi, T. (1997). Perception of what the ethical climate is and what it should be: The role of gender, academic status, and ethical education. Journal of Business Ethics, 16(2), 205–217. doi: 10.1023/A:1017980520924
- Matthews, K., & Hodgson, Y. (2012). The science students skills inventory: Capturing graduate perceptions of their learning outcomes. International Journal of Innovation in Science and Mathematics Education, 20(1), 24–43.
- Matthews, K. E., Belward, S., Coady, C., Rylands, L., & Simbag, V. (2012). The state of quantitative skills in undergraduate science education: Findings from an Australian study, Australia: Office for Learning and Teaching (OLT).
- Miller, P. H., Slawinski Blessing, J., & Schwartz, S. (2006). Gender differences in high-school students’ views about science. International Journal of Science Education, 28(4), 363–381. doi: 10.1080/09500690500277664
- National Academy of Sciences (2006). Rising above the gathering storm: Energizing and employing America for a brighter economic future, Washington, DC: NAS Committee on Science, Engineering and Public Policy.
- Organisation for Economic Cooperation and Development (OECD) (2006). Evolution of student interest in science and technology studies: Policy report, Paris: OECD Global System Forum.
- Quality Assurance Agency (QAA). (2009). Subject benchmark statements. Retrieved from www.qaa.ac.uk
- Ramsden, P. (1991). A performance indicator of teaching quality in higher education: The course experience questionnaire. Studies in Higher Education, 16, 129–150. doi: 10.1080/03075079112331382944
- Reiss, M. J. (1999). Teaching ethics in science. Studies in Science Education, 34, 115–140. doi: 10.1080/03057269908560151
- Roberts, G. (2002). SET for success: The supply of people with science, engineering and mathematics skills. London: HM Treasury.
- Santiago, P., Tremblay, K., Basri, E., & Arnal, E. (2008). Tertiary education for the knowledge society, Vol 1, Paris: OECD.
- Saunders, V., & Zuzel, K. (2010). Evaluating employability skills: Employer and student perceptions. Bioscience Education, 15, 1–15. doi: 10.3108/beej.15.2
- Seymour, A. D., Wiese, D. A., Hunter, A., & Daffinrud, S. M. (2000). Creating a better mousetrap: On-line student assessment of their learning gains. Proceedings of National Meeting of the American Chemical Society, San Francisco, CA.
- Seymour, E., Hunter, A. B., Laursen, S. L., & DeAntoni, T. (2004). Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three-year study. Science Education, 88, 493–534. doi: 10.1002/sce.10131
- Spencer, D., Riddle, M., & Knewstubb, B. (2012). Curriculum mapping to embed graduate capabilities. Higher Education Research & Development, 31, 217–231. doi: 10.1080/07294360.2011.554387
- Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta-analysis. Review of educational research, 69(1), 21–51. doi: 10.3102/00346543069001021
- Surridge, P. (2008). The national student survey 2005–2007: Findings and trends. A report to the Higher Education Funding Council for England. Retrieved from http://www.hefce.ac.uk/pubs/rdreports/2008/rd12_08/rd12_08.pdf
- Tariq, V. N., Qualter, P., Roberts, S., Appleby, Y., & Barnes, L. (2012). Mathematical literacy: Role of gender and emotional intelligence. STEM Annual Conference, London. Retrieved from http://www.heacademy.ac.uk/assets/documents/stemconference/MSOR/Vicki_Tariq.pdf
- Tuning Association. (2011). Tuning educational structures in Europe. Retrieved from www.unideusto.org/tuningeu/home.html
- Wainer, J., Bryant, L., & Strasser, R. (2001). Sustainable rural practice for female general practitioners. Australian Journal of Rural Health, 9(Suppl), S43–S48.
- Walker, P. (2008). What do students think they (should) learn at college? Student perceptions of essential learning outcomes. Journal of the Scholarship of Teaching and Learning, 8(1), 45–60.
- Wieman, C. E. (2007). Why not try a scientific approach to science education?. Change, 39(5), 9–15. doi: 10.3200/CHNG.39.5.9-15
- Wieman, C. E., Perkins, K., & Gilbert, S. (2010). Transforming science education at large research intensive universities: A case study in progress. Change, 42(2), 6–14. doi: 10.1080/00091380903563035
- Wood, W. B. (2009). Revising the AP biology curriculum. Science, 325, 1627–1628. doi: 10.1126/science.1180821
- Wyer, M. (2003). Intending to stay: Images of scientists, attitudes toward women, and gender as influences on persistence among science and engineering majors. Journal of Women and Minorities in Science and Engineering, 9(1), 1–16. doi: 10.1615/JWomenMinorScienEng.v9.i1.10
- Yates, B., Jones, S., & Kelder, J. (2011). Learning and teaching academic standards project: Science. Final report. Retrieved from http://www.olt.gov.au/resource-learning-and-teaching-academic-standards-science-2011
- Yorke, M. (2006). Employability in higher education: What it is – What it is not, York: Higher Education Academy.