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Motivation for math in rural schools: student and teacher perspectives

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Abstract

Rural schools, students, teachers, administrators, families and community leaders face unique challenges from those of their urban and suburban counterparts. This paper investigates motivation in rural secondary schools, with a particular focus on mathematics, from teacher and student perspectives. It integrates recent research on math learning and motivation from the fields of educational psychology, human neuroscience and rural education, to present an integrated systemic view of motivation for learning math in rural schools.

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References

  • Adams, J. (Ed.). (2003). Fighting for the farm: Rural America transformed. Philadelphia: University of Pennsylvania Press.

    Google Scholar 

  • Alexander, P. (2004). A model of domain learning: Reinterpreting expertise as a multidimensional, multistage process. In D. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 273–298). Mahwah: Erlbaum.

    Google Scholar 

  • Anderman, E. M., & Midgley, C. (1997). Changes in achievement goal orientations and perceived classroom goal structures across the transition to middle level schools. Contemporary Educational Psychology, 22, 269–298.

    Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.

    Google Scholar 

  • Barley, Z. A., & Beesley, A. D. (2007). Rural school success: what can we learn? Journal of Research in Rural Education, 22(1). Retrieved from http://www.jrre.psu.edu/articles/22-1.pdf; January 10.

  • Battistich, B., Solomon, D., Watson, M., & Schaps, E. (1997). Caring school communities. Educational Psychologist, 32(3), 137–151.

    Google Scholar 

  • Bleeker, M., & Jacobs, J. E. (2004). Achievement in math and science: do mothers’ beliefs matter 12 years later? Journal of Educational Psychology, 96, 97–109.

    Article  Google Scholar 

  • Bransford, J., Brown, A. L., & Cocking, R. R. (Eds.). (1999). How people learn: Brain, mind, experience and school. Washington: National Academy Press.

    Google Scholar 

  • Bush, W. S. (2005). Improving research on mathematics learning and teaching in rural contexts. Journal of Research in Rural Education, 20(8). Retrieved from http://jrre.psu.edu/articles/20-8pdf; July 11.

  • Chouinard, R., & Roy, N. (2008). Changes in high school students’ competence beliefs, utility value and achievement goals in mathematics. British Journal of Educational Psychology, 78, 31–50.

    Article  Google Scholar 

  • Church, M. A., Elliot, A. J., & Gable, S. L. (2001). Perceptions of classroom environment, achievement goals, and achievement outcomes. Journal of Educational Psychology, 93, 43–54.

    Article  Google Scholar 

  • Clark, C. M., & Peterson, P. L. (1986). Teachers’ thought processes. In M. Wittrock (Ed.), Handbook of research on teaching (3rd ed.), (pp. 255–296). New York: MacMillan.

  • Cohen, B. H., & Lea, R. B. (2004). Essentials of statistics for the social and behavioral sciences. Hoboken: Wiley.

    Google Scholar 

  • Colangelo, N., Assouline, S. G., & New, J. K. (1999). Gifted education in rural schools: A national assessment. Iowa City: University of Iowa Press.

    Google Scholar 

  • Covington, M. V. (2000). Goal theory, motivation, and school achievement: An integrative review. Annual Review of Psychology, 51, 171–200.

    Google Scholar 

  • Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks, CA: Sage.

  • Creswell, J. W., & Plano Clark, V. L. (2007). Designing and conducting mixed methods research. Thousand Oaks: Sage.

    Google Scholar 

  • Dai, D., & Sternberg, R. J. (2004). Beyond cognition. In D. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 3–40). Mahwah: Erlbaum.

    Google Scholar 

  • Davies, R., & Dart, J. (2005). The most significant change (MSC) technique: a guide to its use. Paper sponsored by Care International and OXFAM International. Accessed 10 May 2011: http://www.mande.co.uk/docs/MSCGuide.pdf

  • Deci, E. L., & Ryan, R. M. (2002). The paradox of achievement: The harder you push, the worse it gets. In J. Aronson (Ed.), Improving academic achievement: Contributions of Social Psychology (pp.59–85). New York: Academic Press.

  • Devlin, K. (2010). The mathematical brain. In D. A. Sousa (Ed.), Mind, brain and education: Neuroscience implications for the classroom (pp. 163–178). Bloomington: Solution Tree Press.

    Google Scholar 

  • Dowdy, S., Wearden, S., & Chilko, D. (2004). Statistics for research (3rd ed.). New York: Wiley.

  • Dweck, C. S., Mangels, J. A., & Good, C. (2004). Motivational effects on attention, cognition and performance. In D. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 41–56). Mahwah: Erlbaum.

    Google Scholar 

  • Faircloth, S. C. (2009). Re-visioning the future of education for native youth in rural schools and communities. Journal of Research in Rural Education, 19(1). Retrieved from http://jrre.psu.edu/articles/24-9.pdf

  • Flora, C. B., Flora, J. L., & Fey, S. (2003). Rural communities: Legacy and change (2nd ed.). Boulder: Westview.

    Google Scholar 

  • Fredricks, J. A., & Eccles, J. S. (2002). Children’s competence and value beliefs from childhood through adolescence. Developmental Psychology, 38(4), 519–533.

    Article  Google Scholar 

  • Freeman, T. M., & Anderman, L. H. (2005). Changes in mastery goals in urban and rural middle school students. Journal of Research in Rural Education, 20(1). Retrieved from http://jrre.psu.edu/articles/20-1pdf; January 12

  • Gándara, P., Gutiérrez, D., & O’Hara, S. (2001). Planning for the future in rural and urban high schools. Journal of Education for Students Placed At-Risk, 6(1), 73–93.

    Article  Google Scholar 

  • Green, J., Martin, A. J., & Marsh, H. W. (2007). Motivation and engagement in English, mathematics and science school subjects: toward an understanding of multidimensional domain specificity. Learning and Individual Differences, 17(2007), 269–279.

    Article  Google Scholar 

  • Greene, B. A., & Miller, R. B. (1996). Influences on course performance: Goals, perceived ability, and self-regulation. Contemporary Educational Psychology, 21, 181–192.

    Google Scholar 

  • Greene, B. A., Miller, R. B., Crowson, H. M., Duke, B., & Akey, K. L. (2004). Predicting high school students’ cognitive engagement and achievement: Contributions of classroom perceptions and motivation. Contemporary Educational Psychology, 29, 462–482

    Google Scholar 

  • Greenwood, D. A. (2009). Place, survivance, and White remembrance: A decolonizing challenge to rural education in mobile modernity. Journal of Research in Rural Education, 24(10). Retrieved from http://jrre.psu.edu/articles/24-10.pdf

  • Hardré, P. L. (2007). Preventing motivational dropout: a systemic analysis in four rural high schools. Leadership and Policy in Schools, 6(3), 231–265.

    Article  Google Scholar 

  • Hardré, P. L. (2008). Taking on the motivating challenge: rural high school teachers’ perceptions and practice. Teacher Education and Practice, 21, 72–88.

    Google Scholar 

  • Hardré, P. L. (2010). Examining high school teacher characteristics and motivating strategies. Teacher Education and Practice, 23(2), 226–253.

    Google Scholar 

  • Hardré, P. L., & Hennessey, M. (2010). Two rural worlds: differences of rural high school students’ motivational profiles in Indiana and Colorado. Journal of Research in Rural Education, 25(8), 1–32.

    Google Scholar 

  • Hardré, P. L., & Licuanen, B. (2010). Motivational characteristics of native and non-native students in rural, public high schools. Journal of American Indian Education, 49(3), 41–64.

    Google Scholar 

  • Hardré, P. L., & Reeve, J. (2003). A motivational model of rural students’ intentions to persist in, versus drop out of, high school. Journal of Educational Psychology, 95, 347–356.

    Article  Google Scholar 

  • Hardré, P. L., & Sullivan, D. (2008). Classroom environments and student differences: how they contribute to student motivation in rural high schools. Learning and Individual Differences, 18, 471–485.

    Article  Google Scholar 

  • Hardré, P. L., & Sullivan, D. W. (2009). Motivating adolescents: teachers’ beliefs, perceptions and classroom practices. Teacher Development, 13, 1–16.

    Article  Google Scholar 

  • Hardré, P. L., Crowson, H. M., DeBacker, T., & White, D. (2007). Predicting the academic motivation of rural high school students. Journal of Experimental Education, 75(4), 247–269.

    Article  Google Scholar 

  • Hardré, P. L., Davis, K. A., & Sullivan, D. W. (2008). Measuring teacher perceptions of the “how” and “why” of student motivation. Educational Research and Evaluation, 14(2), 155–179.

    Google Scholar 

  • Hardré, P. L., Ge, X., & Thomas, M. (2007). An investigation of the development of instructional design expertise. Performance Improvement Quarterly, 19(4), 55–82.

    Google Scholar 

  • Hardré, P. L., Sullivan, D., & Crowson, H. M. (2009). Student characteristics and motivation in rural high schools. Journal of Research in Rural Education, 24(16), 1–19.

    Google Scholar 

  • Hidi, S., Reninger, K. A., & Krapp, A. (2004). Interest, a motivational variable that combines affective and cognitive functioning. In D. Dai & R. J. Sternberg (Eds.), Motivation, emotion and cognition: Integrative perspectives on intellectual functioning and development (pp. 89–118). Mahwah: Erlbaum.

    Google Scholar 

  • Howell, D. W. (2002). Fundamental Statistics for the Behavioral Sciences. New York: Thomson Wadsworth.

  • Huetinck, L., & Munshin, S. N. (2004). Teaching mathematics for the 21st century. Upper Saddle River: Merrill.

    Google Scholar 

  • Imordino-Yang, M. H., & Faeth, M. (2010). The role of emotion and skilled intuition in learning. In D. A. Sousa (Ed.), Mind, brain and education: Neuroscience implications for the classroom (pp. 69–84). Bloomington: Solution Tree Press.

    Google Scholar 

  • Ley, J., Nelson, S., & Beltyukova, S. (1996). Congruence of aspirations of rural youth with expectations held by parents and school staff. Journal of Research in Rural Education, 12(3), 133–141.

    Google Scholar 

  • Lichter, D. T., Roscigno, V. J., & Condron, D. J. (2003). Rural children and youth at risk. In D. L. Brown & L. E. Swanson (Eds.), Challenges for rural America in the twenty-first century (pp. 97–108). University Park: Pennsylvania State University Press.

    Google Scholar 

  • Linnenbrink, E. A., & Pintrich, P. R. (2002a). Motivation as an enabler for academic success. School Psychology Review, 31, 313–327.

    Google Scholar 

  • Linnenbrink, E. A., & Pintrich, P. R. (2002b). Achievement goal theory and affect: an asymmetrical bidirectional model. Educational Psychologist, 37(2), 69–78.

    Article  Google Scholar 

  • Linnenbrink, E. A., & Pintrich, P. R. (2004). Role of affect in cognitive processing in academic contexts. In D. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 57–88). Mahwah: Erlbaum.

    Google Scholar 

  • Marsh, H. W., Martin, A. J., & Debus, R. (2002). Individual differences in verbal and math self-perceptions: One factor, two factor, or does it depend on the construct? In R. Riding & S. Rayner (Eds.), International perspectives on individual differences. London: Greenwood.

    Google Scholar 

  • Martin, A. J., & Dowson, M. (2009). Interpersonal relationships, motivation, engagement and achievement: yields for theory, current issues and educational practice. Review of Educational Research, 79(1), 327–365.

    Article  Google Scholar 

  • Mayer, R. E. (1999). The promise of educational psychology: Learning in the content areas. Upper Saddle River, New Jersey: Prentice Hall.

  • National Center for Educational Statistics. (2009). What’s rural? Retrieved 12 August 2010 from http://nces.ed.gov/surveys/ruraled/definitions.asp

  • Nitko, A. J. (1996). Educational Assessment of Students. New York: Merrill.

  • Office of Management and Budget (OMB) (2000). Standards for defining metropolitan and micropolitan statistical areas; notice (OMB doc # 0032997). Federal Register, 65, 249, 27 December 2000.

  • Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95, 667–686.

    Article  Google Scholar 

  • Radel, R., Sarrazin, P., Legrain, P., & Wild, T. (2010). Social contagion of motivation between teacher and student: analyzing underlying processes. Journal of Educational Psychology, 102i(3), 577–587.

    Article  Google Scholar 

  • Reeve, J. M. (1996). Motivating others: Nurturing inner motivational resources. New York: Allyn & Bacon.

    Google Scholar 

  • Reeve, J., Jang, H., Hardré, P., & Omura, M. (2002). Providing a rationale in an autonomy-supportive way as a strategy to motivate others during an uninteresting activity. Motivation and Emotion, 26, 183–207.

    Article  Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78.

    Article  Google Scholar 

  • Ryan, K. E., Ryan, A. M., Arbuthnot, K., & Samuels, M. (2007). Students’ motivation for standardized math exams. Educational Researcher, 36(1), 5–13.

    Article  Google Scholar 

  • Schunk, D., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: Theory, research and applications (3rd ed.). Upper Saddle River: Pearson.

    Google Scholar 

  • Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: reciprocal effects of teacher behaviour and student engagement across the school year. Journal of Educational Psychology, 85(4), 571–581.

    Article  Google Scholar 

  • Smith, E. R., & Conrey, F. R. (2009). The social context of cognition. In P. Robbins & M. Aydede (Eds.), The Cambridge handbook of situated cognition (pp. 454–466). New York: Cambridge University Press.

    Google Scholar 

  • Sternberg, R. J., & Wagner, R. K. (1994). Mind in context: Interactionist perspectives on human intelligence. New York: Cambridge University Press.

  • Teddlie, C., & Tashakkori, A. (2009). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. Thousand Oaks: Sage.

    Google Scholar 

  • Vallerand, R. J., Fortier, M. S., & Guay, F. (1997). Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout. Journal of Personality and Social Psychology, 72, 1161–1176.

    Google Scholar 

  • Vygotsky, L. S. (1978). Mind in society. Cambridge, MA: Harvard University Press.

  • Watt, H. M. G. (2004). Development of adolescents’ self-perceptions, values, and task perceptions according to gender and domain in 7th through 11th grade Australian students. Child Development, 75(5), 1556–1574.

    Google Scholar 

  • Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25, 68–81.

    Article  Google Scholar 

  • Willis, J. (2010). The current impact of neuroscience on teaching and learning. In D. A. Sousa (Ed.), Mind, brain and education: Neuroscience implications for the classroom (pp. 45–68). Bloomington: Solution Tree Press.

    Google Scholar 

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  1. University of Oklahoma, Norman, OK, USA

    Patricia L. Hardré

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  1. Patricia L. Hardré
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Correspondence to Patricia L. Hardré.

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Hardré, P.L. Motivation for math in rural schools: student and teacher perspectives. Math Ed Res J 23, 213–233 (2011). https://doi.org/10.1007/s13394-011-0012-5

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