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Articles

Exploring the effects of project-based learning in secondary mathematics education

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Pages 449-463 | Received 03 Jun 2014, Accepted 09 Oct 2014, Published online: 11 May 2016

References

  • Abbeduto, L. (2010). Taking sides: Clashing views in educational psychology. New York, NY: McGraw-Hill.
  • Anderson, J. R., Reder, L. M., & Simon, H. A. (2000). Applications and misapplications of cognitive psychology to mathematics education. Texas Educational Review, 1(2), 29–49.
  • Artino, A. (2005). Review of the motivated strategies for learning questionnaire. University of Connecticut. Retrieved from http://files.eric.ed.gov/fulltext/ED499083.pdf.
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84, 191–215.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
  • Beilock, S., & Carr, T. (2005). When high-powered people fail working memory and “choking under pressure” in math. Psychological Science, 16, 101–105.
  • Boaler, J. (2002). Learning from teaching: Exploring the relationship between reform curriculum and equity. Journal of Research in Mathematics Education, 33, 239–258.
  • Bong, M. (2001). Between- and within-domain relations of academic motivation among middle and high school students: Self-efficacy, task value, and achievement goals. Journal of Educational Psychology, 93(1), 23–34.
  • Borkowski, J. G. (1992). Metacognitive theory: A framework for teaching literacy, writing, and math skills. Journal of Learning Disabilities, 25, 253–257.
  • Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis, Review of Educational Research, 65, 245–281.
  • Cho, M. H., & Summers, J. (2012). Factor validity of the Motivated Strategies for Learning Questionnaire (MSLQ) in Asynchronous Online Learning Environments (AOLE). Journal of Interactive Learning Research, 23, 5–28.
  • Crede, M., & Phillips, L. (2011). A meta-analytic review of the motivated strategies for learning questionnaire. Learning and Individual Differences, 21, 337–346.
  • Delpit, L. (1988). The silenced dialogue: Power and pedagogy in educating other people's children. Harvard Educational Review, 58, 280–298.
  • Dochy, F., Segers, M., Vanden Bossche, P., & Gijbels, D. (2003). Effects of problem-based learning: A meta-analysis. Learning and Instruction, 13, 533–568.
  • Doll, B., Zucker, S., & Brehm, K. (2004). Resilient classrooms: Creating healthy environments for learning. New York, NY: Guilford.
  • Dunlap, J. (2005). Changes in students’ use of life long learning skills during problem based learning project. Performance Improvement Quarterly, 18, 5–33.
  • Dunlosky, J., & Metcalfe, J. (2009). Metacognition: A textbook for cognitive, educational, life span & applied psychology (1st ed.). Thousand Oaks, CA: Sage.
  • Dweck, C. S. (2009). Mindset, the new psychology of success. New York, NY: Ballantine Books.
  • Feiz, P., Hooman, H. A., & Kooshki, S. (2013). Assessing the Motivated Strategies for Learning Questionnaire (MSLQ) in Iranian students: Construct validity and reliability. Social and Behavioral Sciences, 84, 1820–1825.
  • Gijbels, D., Dochy, F., Vanden Bossche, P., & Segers, N. (2005). Effect of problem based learning: A meta-analysis from the angle of assessment. Review of Educational Research, 75, 27–61.
  • Goldstein, E. B. (2008). Cognitive psychology: Connecting mind, research, and everyday experience. Belmont, CA: Wadsworth.
  • Innabi, H., & Sheik, O. (2006). The change in mathematics teachers' perceptions of critical thinking after 15 years of educational reform in Jordan. Educational Studies in Mathematics, 64, 45–68.
  • Karadeniz, S., Büyüköztürk, S., Akgün, O. E., Çakmak, E. K., & Demirel, F. (2008). The Turkish adaptation study of Motivated Strategies for Learning Questionnaire (MSLQ) for 12–18 year old children: Results of confirmatory factor analysis 1. The Turkish Online Journal of Educational Technology, 7(4). Retrieved from www.tojet.net/articles/v7i4/7412.pdf
  • Kazelskis, R., Reeves, C., Kersh, M. E., Bailey, G., Cole, K., Larmon, M., … Halliday, D. C. (2000). Mathematics anxiety and test anxiety: Separate construct. The Journal of Experimental Education, 68, 137–146.
  • Larmer, J., Ross, D., & Mergendoller, J. (2009). PBL starter kit: To-the-point advice, tools, and tips for your first project in middle or high school. San Rafael, CA: Unicorn Printing Specialists.
  • Lyons, I. M., & Beilock, S. L. I. (2012). When math hurts: Math anxiety predicts pain network activation in anticipation of doing math. PLoS One, 7(10), e48076. doi:10.1371/journal.pone.0048076.
  • Lubienski, S. (2000). Problem solving as a means towards mathematics for all: An exploratory look through the class lens. Journal for Research in Mathematics Education, 31, 454–482.
  • Ma, X. (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for Research in Mathematics Education, 30, 520–540.
  • Meece, J. L., Wigfield, A., & Eccles, J. S. (1990). Predictors of math anxiety and its influence on young acolescents' course enrollment and intention and performance in mathematics. Journal of Educational Psychology, 82, 60–70.
  • Meyer, D. K., Turner, J. C., & Spencer, C A. (1997). Challenge in a mathematics classroom: Students' motivation and strategies in project based learning. The Elementary School Journal, 97, 501–521.
  • Michigan Department of Education. (2009). Retrieved from http://www.michigan.gov/mde/0,4615,7-140-6530_6598_36168-188305--,00.html
  • Michigan Department of Education. (2010). Retrieved from http://www.michigan.gov/documents/mde/b1014_13final_454424_7.pdf
  • Michigan Department of Education. (2012). Retrieved from http://www.michigan.gov/documents/mde/b1014_13final_454424_7.pdf
  • Milner, A. R. (2011). The effects of constructivist classroom contextual factors in a life science laboratory and a traditional science classroom on elementary students' motivation and learning strategies. Ann Arbor, MI: ProQuest.
  • National Center for Education Statistics. (2009). The Nation's Report Card: Mathematics 2009: National Assessment of Educational Progress Grade 8 National ( NCES 2010-451). Retrieved from http://nces.ed.gov/nationsreportcard/pdf/main2009/2010451.pdf
  • National Center for Education Statistics. (2010). Retrieved from https://nces.ed.gov/fastfacts/display.asp?id=514.
  • National Center for Education Statistics. (2011). Nation's Report Card: Mathematics 2011: National Assessment of Educational Progress Grade 8 National ( NCES 2012-458). Retrieved from http://nationsreportcard.gov/math_2011/gr8_national.asp
  • No Child Left Behind Act of 2001, Public Law No. 107–110, 115 Stat. 1425, 2002.
  • Ormrod, J. E. (2008). Educational psychology, developing learners (7th ed.). Boston, MA: Pearson Education.
  • Ormrod, J. E. (2009). Essentials of educational psychology (2nd ed.). Upper Saddle River, NJ: Merrill/Prentice Hall.
  • Pajares, F. (2005). Gender differences in mathematics self-efficacy beliefs. In A. M. Gallagher & J. C. Kaufman (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 294–315). New York, NY: Cambridge University Press.
  • Petrosino, A. (2004). Integrating curriculum instruction and assessment in project based instruction: A case study of an experienced teacher. Journal of Science Education and Technology, 13, 447–460.
  • Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). San Diego, CA: Academic Press.
  • Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (mslq). Educational and Psychological Measurement, 53, 811–813.
  • PLAN Test. (2012). Retrieved from http://www.studypoint.com/ed/plan-test/
  • Robinson, D. H., & Kiewra, K. A. (1995). Visual argument: Graphic organizers are superior to outlines in improving learning from text. Journal of Educational Psychology, 87, 455–467.
  • 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.
  • Slavin, R. E. (1996). Neverstreaming: Preventing learning disabilities. Educational Leadership, 53(5), 4–7.
  • Stipek, D. (2001). Classroom context effects on young children's motivation. In F. Salili, C. Y. Chiu, & Y. Y. Hong (Eds.), Student motivation: The culture and context of learning (pp. 273–292). New York, NY: Springer.
  • Stipek, D. (2002). Motivation to learn: Integrating theory and practice (4th ed.). Boston, MA: Allyn & Bacon.
  • Stoffa, R., Kush, J. C., & Heo, M. (2010). Using the motivated strategies for learning questionnaire and the strategy inventory for language learning in assessing motivation and learning strategies of generation 1.5 Korean immigrant students. Education Research International, 2011, Article ID 491276.
  • Strobel, J., & Barneveld, A. (2009). When is PBL more effective? A meta-synthesis of meta-analyses comparing PBL to conventional classrooms. The Interdisciplinary Journal of Problem Based Learning, 3, 44–58.
  • Tatum, B. (1997). “Why are all the Black kids sitting together in the cafeteria?”: And other conversations about race. New York, NY: Basic Books.
  • Thomas, J. W. (2000). A review of research on project-based learning. San Rafael, CA: Autodesk Foundation. Retrieved from http://www.k12reform.org/foundation/pbl/research/summary.pdf
  • Timpson, W. (2003). Teaching diversity: Challenges and complexities, identities and integrity. Madison, WI: Atwood Press.
  • Tintle, N., Chance, B., Cobb, G., Rossman, A., Roy, S., Swanson, T., & Vanderstoep, J. (2014). Introduction to statistical investigations, preliminary edition ( rev. ed.). Indianapolis, IN: Wiley.
  • University of Wisconsin Whitewater. (2005). Reluctance and conflict in the classroom. Retrieved from https://www.uww.edu/learn/improving/aboutdiversity/approachdiversity/reluctanceconflict.
  • VanderStoep, S., & Pintrich, R. (2008). Learning to learn: The skill and will of college success (2nd ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
  • Vernon, D. T., & Blake, R. L. (1993). Does problem-based learning work? A Meta-analysis of evaluative research. Academic Medicine, 68, 550–563.
  • Walker, A., & Leary, H. (2009). A problem based learning meta-analysis: Differences across problem types, implementation types, disciplines, and assessment levels. The Interdisciplinary Journal of Problem Based Learning, 3, 12–43.
  • Weiner, B. (2000). Intrapersonal and interpersonal theories of motivation from an attributional perspective. Educational Psychology Review, 12, 1–14.
  • Weiner, B. (2004). Attribution theory revisited: Transforming cultural plurality into theoretical unity. In D. M. McInerney & S. Van Etten (Eds.), Big theories revisited (pp. 13–29). Grenwich, Ct.: Information Age.
  • Weiner, B. (2005). Motivation from an attribution perspective and the social psychology of perceived competence. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 73–84). New York, NY: Guilford.
  • Weiner, B., & Kukla, A. (1970). An attributional analysis of achievement motivation. Journal of Personality and Social Psychology, 15, 1–20.
  • Wenzel, T. (2000). Cooperative student activities as learning devices. Analytical Chemistry, 72, 293–296.
  • White, J. W. (2011). Resistance to classroom participation: Minority students, academic discourse, cultural conflicts, and issues of representation in whole class discussions. Journal of Language, Identity, and Education, 10, 250–265.
  • Wigfield, A., & Meece, J. L. (1988). Math anxiety in elementary and secondary school students. Journal of Educational Psychology, 80, 210–216.
  • Williamson, V. M., & Rowe, M. W. (2002). Group problem-solving versus lecture in college level quantitative analysis: The good, the bad, and the ugly. Journal of Chemical Education, 79, 1131–1134.
  • Wilson-VanVoorhis, C., & Morgan, B. (2007). Understanding power and rules of thumb for determining sample sizes. Tutorials in Quantitative Methods for Psychology, 3, 43–50.
  • Wolters, C. (1998). Self-regulated learning and college students’ regulation of motivation. Journal of Educational Psychology, 90, 224–235.
  • Zimmerman, B. J. (2000). Attainment of self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). San Diego, CA: Academic Press.

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