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Research Article

Convincing Students? Quantitative Junkies, Avoiders and Converts on a Cross-Disciplinary Course Using Quantitative Narratives

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References

  • Advisory Committee on Mathematics Education (2011) Mathematical needs in the workplace and in higher education. London: ACME.
  • Arco-Tirado, J., Fernandez-Martin, F. and Fernandez-Balboa, J-M. (2011) The impact of a peer-tutoring program on quality standards in higher education. Higher Education 62, 773–788.
  • Best, J. (2012) Damned lies and statistics: untangling numbers from the media, politicians, and activists (updated edition). Ewing, NJ: University of California Press.
  • Bradbeer, J. (1999) Barriers to interdisciplinarity: disciplinary discourses and student learning. Journal of Geography in Higher Education 23 (3), 381–396.
  • Bridges, G., Gillmore, G., Pershing, J. and Bates, K. (1998) Teaching quantitative research methods: a quasi-experimental analysis. Teaching Sociology 26 (1), 14–28.
  • Dancer, D., Morrison, K. and Tarr, G. (2014) Measuring the effects of peer learning on students’ academic achievement in first year business statistics. Studies in Higher Education, on-line first.
  • De Backer, L., Van Keer, H. and Valcke, M. (2012) Exploring the potential impact of reciprocal peer tutoring on higher education students’ metacognitive knowledge and regulation. Instructional Science 40 (3), 559–588.
  • Dilnot, A. and Blastland, M. (2008) The tiger that isn’t: seeing through a world of numbers (expanded edition). London: Profile Books.
  • Eisen, A., Hall, A., Soon Lee, T. and Zupko, J. (2009) Teaching water: connecting across disciplines and into daily life to address complex societal issues. College Teaching 57 (2), 99–104.
  • ESRC, HEFCE and HEFCW (2010) National strategy for building a world class social science research base in quantitative methods. Swindon: ESRC.
  • Frankfort-Nachmias, C. and Leon-Guerrero, A. (2011) Social statistics for a diverse society (6th edition). London: Sage.
  • Garfield, J. and Ben-Zvi, D. (2007) How students learn statistics revisited: a current review of research on teaching and learning statistics. International Statistical Review 75 (3), 372–396.
  • Gelman, A. and Cortina, J. (2009) A quantitative tour of the social sciences. Cambridge: CUP.
  • Gelman, A. and Nolan, D. (2002) Teaching statistics: a bag of tricks. Oxford: OUP.
  • Hannover, B. and Kessels, U. (2004) Self-to-prototype matching as a strategy for making academic choices. Why high school students do not like math and science. Learning and Instruction 14 (1), 51–67.
  • Hodgen, J., Pepper, D., Sturman, L. and Ruddock, G. (2010) Is the UK an outlier? An international comparison of upper secondary mathematics education. London: Nuffield Foundation.
  • Jackson, D. and Johnson, E. (2013) A hybrid model of mathematics support for science students emphasizing basic skills and discipline relevance. International Journal of Mathematical Education in Science and Technology 44 (6), 846–864.
  • Keebaugh, A., Darrow, L., Ran, D. and Jamerson, H. (2009) Scaffolding the science: problem based strategies for teaching interdisciplinary undergraduate research methods. International Journal of Teaching and Learning in Higher Education 21 (1), 118–126.
  • MacInnes, J. (2010) Proposals to support and improve the teaching of quantitative research methods at undergraduate level in the UK. Final Report to ESRC.
  • Marsh, C. and Elliott, J. (2008) Exploring data (2nd edition). Cambridge: Polity Press.
  • Murtonen, M., Olkinuora, E., Tynjälä, P. and Lehtinen, E. (2008) “Do I need research skills in working life?” University students’ motivation and difficulties in quantitative methods courses. Higher Education 56, 599–612.
  • Nikitina, S. (2005) Pathways of interdisciplinary cognition. Cognition and Instruction 23 (3), 389–425.
  • Ramos, M. and Carvalho, H. (2011) Perceptions of quantitative methods in higher education: mapping student profiles. Higher Education 61, 629–647.
  • Rylands, L., Simbag, V., Matthews, K., Coady, C. and Belward, S. (2013) Scientists and mathematicians collaborating to build quantitative skills in undergraduate science. International Journal of Mathematical Education in Science and Technology 44 (6), 834–845.
  • Spelt, E., Biemans, H., Tobi, H., Luning, P. and Mulder, M. (2009) Teaching and learning in interdisciplinary higher education: a systematic review. Educational Psychology Review 21, 365–378.
  • University of Bristol (2012) Convincing stories unit description. University of Bristol.
  • Woods, C. (2007) Researching and developing interdisciplinary teaching: towards a conceptual framework for classroom communication. Higher Education 54 (6), 853–866.

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