Mathematical literacy in Plant Physiology undergraduates: results of interventions aimed at improving students' performance

References

• Sadler PM, Tai RH. The two high-school pillars supporting college science. Science. 2007;317:457–458.
   PubMed Web of Science ®Google Scholar
• Gross LJ. Education for a biocomplex future. Science. 2000;288:807.
   PubMed Web of Science ®Google Scholar
• Koenig J. A survey of the mathematics landscape within bioscience undergraduate and postgraduate UK higher education. Leeds: UK Centre for Bioscience; 2011.
   Google Scholar
• Tariq VN. A decline in numeracy skills among bioscience undergraduates. J Biol Educ. 2002;36:76–83.
   Web of Science ®Google Scholar
• Malcolm RK, McCoy CP. Evaluation of numeracy skills in first year pharmacy undergraduates 1999–2005. Pharm Educ. 2007;7:53–59.
   Google Scholar
• LeBard R, Thompson R, Micolich A, Quinnell R. Identifying common thresholds in learning for students working in the “hard” discipline of science. Hugman A, editor. Motivating science undergraduates: ideas and interventions. UniServe Science Proceedings; 2009 Oct 1–2; The University of Sydney, Sydney. Sydney, Australia: Uniserve Science, 2009, p. 72–77.
   Google Scholar
• Llamas A, Vila F, Sanz A. Mathematical skills in undergraduate students. A ten-year survey of a Plant Physiology course. Biosci Educ. 2012;19(5). Available from http://www.bioscience.heacademy.ac.uk/journal/vol19/beej-19-5.aspx.
   Google Scholar
• Mulhern G, Wylie J. Mathematical prerequisites for learning statistics in psychology: assessing core skills of numeracy and mathematical reasoning among undergraduates. Psychol Learn Teach. 2005;5:119–132.
   Google Scholar
• Zarch MK, Kadivar P. The role of mathematics self-efficacy and mathematics ability in the structural model of mathematics performance. In: Demiralp M, Akan A, Mastorakis N, editors. Proceedings of the 9th WSEAS International Conference on Applied Mathematics; 2006 May; Istanbul. World Scientific and Engineering Academy and Society (WSEAS), p. 242–249. Available from: http://wseas.us/e-library/conferences/2006istanbul/papers/522-220.pdf
   Google Scholar
• Stevens T, Olivarez AJ, Hamman D. The role of cognition, motivation and emotion in explaining the mathematics achievement gap between Hispanic and white students. Hisp J Behav Sci. 2006;28:161–186.
   Web of Science ®Google Scholar
• Kiamanesh AR, Hejazi E, Esfahani ZN. The role of math self-efficacy, math self-concept, perceived usefulness of mathematics and math anxiety in math achievement. In: Marsh HW, Baumert J, Richards GE, Trautwein U, editors. Self-concept, motivation and identity: where to from here? Proceedings of the 3rd International Biennial SELF Research Conference; 2004 Jul; Berlin. NSW, Australia: University of Western Sydney, SELF Research Centre; 2004.
   Google Scholar
• Quinell R, Wong E. Using intervention strategies to engage tertiary biology students in their development of numeric skills. In: Hugman A, editor. Science teaching and learning research including threshold concepts. Proceedings of UniServe Science Teaching and Learning Research; 2007 Sep 27–28; Sydney. Sydney, Australia: Uniserve Science; 2007, p. 70–74.
   Google Scholar
• Tarrant M, Ware J. Impact of item-writing flaws in multiple-choice questions on students achievement in high-stakes nursing assessments. Med Educ. 2008;42:198–206.
   PubMed Web of Science ®Google Scholar
• Madsen HS, Murray N. Retrospective evaluation of testing in ESL content and skills courses. Paper presented at: 18th Annual Meeting of the Teachers of English to Speakers of Other Languages. Annual Meeting of the Teachers of English to Speakers of Other Languages; 1984 Mar 6–11; Houston, TX.
   Google Scholar
• Downing SM. Validity: on the meaningful interpretation of assessment data. Med Educ. 2003;37:830–837.
   PubMed Web of Science ®Google Scholar
• Anderson TR, Rogan JM. Bridging the educational research-teaching practice gap: tools for evaluating the quality of assessment instruments. Biochem Mol Biol Educ. 2010;38:51–57.
   PubMed Web of Science ®Google Scholar
• Martínez-Tomás MC, Utrillas Esteban MP, Pons Martí A, García Lopera R, Ponsoda Martí X, Cruz JL, Ferrer Ch, Martínez D, Muñoz V, Roldán C, Coll C, Martínez JA, Pedrós R, Tena F, Valor E, Barreiro J, Martínez M, Cerverá ML, Capaccioni R, González F, Sanz A. La evaluación y seguimiento del estudiante de forma telemática: El proyecto Cuestionarios. @tic rev d’innov educ. 2011;6:91–95. Available from http://ojs.uv.es/index.php/attic/article/view/241/394.
   Google Scholar
• Tariq V, Durrani N. Every student counts: promoting numeracy and enhancing employability. MSOR Connections. 2009;9:7–11.
   Google Scholar
• Cameron R. Numeracy skills and employability. Learn Teach Action. 2010;8:8–10.
   Google Scholar
• Durrani N, Tariq VN. The role of numeracy skills in graduate employability. Educ Train. 2012;54:419–434.
   Google Scholar
• Speth EB, Momsen JL, Moyerbrailean GA, Ebert-May D, Long TM, Wyse S, Linton D. 1, 2, 3, 4: infusing quantitative literacy into introductory biology. CBE—Life Sci Educ. 2010;9:323–332.
   Google Scholar
• García Garrido JL, Buj Gimeno A, González Anleo J, Ibáñez-Martín JA, de la Orden Hoz A, Pérez Iriarte JL, Rodríguez Diéguez JL. Elements for a diagnosis of the Spanish educational system. Global Report. Instituto Nacional de Calidad y Evaluación. Madrid: Ministerio de Educación y Cultura; 1997; p. 173.
   Google Scholar
• INCE. Evaluación de la Educación Secundaria Obligatoria 2000. Datos básicos. Instituto Nacional de Calidad y Evaluación. Madrid: Ministerio de Educación y Cultura; 2001; p. 109.
   Google Scholar
• Durrani N, Tariq VN. Relationship between undergraduates’ mathematics anxiety and their attitudes towards developing numeracy skills and perceptions of numerical competence. In: Gómez Chova L, Martí Belenguer D, Candel Torres I, editors. Proceedings of ICERI 2009 Conference; 2009 Nov 16–18; Madrid. International Association of Technology, Education and Development (IATED); 2009, p. 787–794.
   Google Scholar
• Brye KR, Savin MC, Gbur EE. Graduate-level science classes: how important are extra time, open notes and book when evaluating students with calculation-oriented exams? NACTA J. 2005; 49:2–9.
   Google Scholar
• Trifoni A, Shanini M. How does exam anxiety affect the performance of university students?. Medit J Soc Sci. 2011;2:93–100.
   Google Scholar
• Cassady JC, Griedly BE. The effects of online formative and summative assessment on test anxiety and performance. J Technol Learn Assess. 2005;4:29.
   Google Scholar
• Siegle D, McCoach DB. Increasing student mathematics self-efficacy through teacher training. J Adv Acad. 1997;18:278–312.
   Google Scholar