Experiential and Outdoor Learning in the Transition to University Courses—The Mathematics Case

REFERENCES

• Beard, C. and P. Wilson. 2013. Experiential Learning: A Handbook for Education, Training and Coaching. Third Edition. London: Kogan Page.
   Google Scholar
• Belbin, M. 1981. Management Teams. London: Heinemann.
   Google Scholar
• BLS - US Bureau of Labor Statistics. 2019. Mathematicians and Statisticians. https://www.bls.gov/ooh/math/mathematicians-and-statisticians.htm Accessed 11 May 2020.
   Google Scholar
• Boaler, J. 2013. Ability and mathematics: the mindset revolution that is reshaping education. FORUM. 55(1): 143–152.
   Google Scholar
• Body, K. M., L. Bonnal, and J. Giret. 2014. Does student employment really impact academic achievement? The case of France. Applied Economics. 46(25): 3061–3073.
   Web of Science ®Google Scholar
• Boud, D. 1988. Developing Student Autonomy in Learning. London: Taylor and Francis.
   Google Scholar
• Day, C. 2019. An empirical case study of young adult carers’ engagement and success in higher education. International Journal of Inclusive Education. 25(14): 1597–1615.
   Web of Science ®Google Scholar
• Dewey, J. 1915. The School and Society. Chicago, IL: The University of Chicago Press.
   Google Scholar
• Dewey, J. 1938. Experience & Education. New York: Kappa Delta Pi.
   Google Scholar
• Dweck, C. S. 2006. Mindset: The New Psychology of Success. New York: Ballantine Books.
   Google Scholar
• Fitzmaurice, O., R. Walsh, and K. Burke. 2021. The ‘Mathematics Problem’ and preservice post primary mathematics teachers – analysing 17 years of diagnostic test data. International Journal of Mathematical Education in Science and Technology. 52(2): 259–281.
   Web of Science ®Google Scholar
• Fung, F., Y. T. Cheng, and C. Gaowei. 2018. Student engagement and mathematics achievement: unraveling main and interactive effects. Psychology in the Schools. 55: 815–831.
   Web of Science ®Google Scholar
• Gill, O., J. O’Donoghue, F. Faulkner, and A. Hannigan. 2010. Trends in performance of science and technology students (1997–2008) in Ireland. International Journal of Mathematical Education in Science and Technology. 41(3): 323–339.
   Google Scholar
• Greenaway, R. 1993. Reviewing adventure activities. Journal of Adventure Education and Outdoor Leadership. 10(1): 11–13.
   Google Scholar
• Groen, L., M. Coupland, T. Langtry, J. Memar, B. Moore, and J. Stanley. 2015. The mathematics problem and mastery learning for first-year, undergraduate STEM students. International Journal of Learning, Teaching and Educational Research. 11: 141–160.
   Google Scholar
• Hawkes, T., and M. Savage. 2000. Measuring the mathematics problem. Engineering Council.
   Google Scholar
• Heron, J. 1999. The Complete Facilitator’s Handbook. London: Kogan Page Limited.
   Google Scholar
• Hockings, C., L. Thomas, J. Ottaway, and R. Jones. 2018. Independent learning – what we do when you’re not there. Teaching in Higher Education. 23(2): 145–161.
   Web of Science ®Google Scholar
• Hovelynck, J. 2000. Recognising and exploring action-theories: a reflection-in-action approach to facilitating experiential learning. Journal of Adventure Education & Outdoor Learning. 1: 7–20.
   Google Scholar
• HWB. 2020. Curriculum for Wales, Llywodraeth Cymru, Welsh Government. https://hwb.gov.wales/curriculum-for-wales. Accessed 1 June 2021.
   Google Scholar
• Johnston-Wilder, S., C. Lee, E. Garton, S. Goodlad, and J. Brindley. 2013. Developing Coaches for Mathematical Resilience. Presented at the International Conference of Education, Research and Innovation.
   Google Scholar
• Johnston-Wilder, S., S. Pardoe, J. Marsh, H. Almehrz, B. Evans, and S. Richards. 2017. Developing Teaching for Mathematical Resilience in Further Education: Development and Evaluation of a 4-Day Course. Presented at the International Conference of Education, Research and Innovation, Seville, Spain.
   Google Scholar
• Kolb, D. A. 1984. Experiential Learning. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Lawson, D. 2015. Mathematics support at the transition university. In M. Grove, T. Croft, J. Kyle, and D. Lawson (Eds), Transitions in Undergraduate Mathematics Education. Birmingham, UK. Higher Education Academy.
   Google Scholar
• Llamas, A., F. Vila, and A. Sanz. 2012. Mathematical skills in undergraduate students. A ten-year survey of a plant physiology course. Bioscience Education. 19(1): 1–10.
   Google Scholar
• LMS, IMA, and RSS. 1995. Tackling the Mathematics Problem. London, UK: The London Mathematical Society.
   Google Scholar
• Markie, P. 2017. Rationalism vs. Empiricism. (E. N. Zalta, Ed.). The Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/archives/fall2017/entries/rationalism-empiricism/.
   Google Scholar
• McCray, R. A., R. L. DeHaan, and J. A. Schuck. 2003. Improving Undergraduate Instruction in Science, Technology, Engineering, and Mathematics: Report of a Workshop.
   Google Scholar
• McLeod, S. 2018. Lev Vygotsky. Simply Psychology. https://www.simplypsychology.org/vygotsky.html.
   Google Scholar
• National Committee. 1996. Shaping the Future: Strategies for Revitalizing Undergraduate Education. Proceedings from the National Working Conference, I. Washington, D.C.
   Google Scholar
• ONS. 2020. Unemployment, UK unemployment figures. Information on the labour market, young people and workless households. https://www.ons.gov.uk/employmentandlabourmarket/peoplenotinwork/unemployment. Accessed 24 March 2020.
   Google Scholar
• Park, D., E. A. Gunderson, E. Tsukayama, S. C. Levine, and S. L. Beilock. 2016. Young children’s motivational frameworks and math achievement: relation to teacher-reported instructional practices, but not teacher theory of intelligence. Journal of Educational Psychology. 108(3): 300–313.
   Web of Science ®Google Scholar
• Petkus Jr, E. 2000. A theoretical and practical framework for service-learning in marketing: Kolb's experiential learning cycle. Journal of Marketing Education. 22(1): 64–70.
   Google Scholar
• Piaget, J. and M. T. Cook. 1952. The Origins of Intelligence in Children. New York: International University Press.
   Google Scholar
• QAA. 2019. Subject Benchmark Statement Mathematics, Statistics and Operational Research. QAA. https://www.qaa.ac.uk/docs/qaa/subject-benchmark-statements/subject-benchmark-statement-mathematics-statistics-and-operational-research.pdf. Accessed 1 June 2020.
   Google Scholar
• Rüegg, W. 2004. A History of the University in Europe: Volume 3, Universities in the Nineteenth and Early Twentieth Centuries (1800–1945). Cambridge, UK: Cambridge University Press.
   Google Scholar
• SEFI. 2002. Mathematics For the European Engineer, A Curriculum for the Twenty-First Century. (L. Mustoe and D. Lawson, Eds). Brussels, Belgium: SEFI HQ.
   Google Scholar
• Schunk, D. H. 2012. Learning Theories, An Educational Perspective. Sixth Edition. Boston, MA: Pearson Education.
   Google Scholar
• Skinner, B. F. 1968. The Technology of Teaching. Acton, MA: B F Skinner Foundation.
   Google Scholar
• Sprietsma, M. 2015. Student Employment: Advantage or Handicap for Academic Achievement? ZEW - Centre for European Economic Research Discussion Paper No. 15-085.
   Google Scholar
• UKCES. 2017. UKCES Employer Skills Survey 2017: UK Report. Department for Education. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/746493/ESS_2017_UK_Report_Controlled_v06.00.pdf. Accessed 1 June 2021.
   Google Scholar
• Whitmire, E. 2003. Epistemological beliefs and the information-seeking behavior of undergraduates. Library & Information Science Research. 25: 127–142.
   Web of Science ®Google Scholar