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Motivation and Social Processes

Promises and Pitfalls of Adapting Utility Value Interventions for Online Math Courses

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References

  • Al-Ubaydli, O., & List, J. A. (2013). On the generalizability of experimental results in economics (No. w19666). Cambridge, MA, USA: National Bureau of Economic Research.
  • Bernard, R. M., Abrami, P. C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., … & Huang, B. (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature. Review of Educational Research, 74(3), 379–439. doi: 10.3102/00346543074003379
  • Canning, E. A., Harackiewicz, J. M., Priniski, S. J., Hecht, C. A., Tibbetts, Y., & Hyde, J. S. (2018). Improving performance and retention in introductory biology with a utility-value intervention. Journal of Educational Psychology 110(6), 834–849. doi:10.1037/edu0000244.
  • Cavanaugh, C. S., Gillan, K. J., Kromrey, J., Hess, M., & Blomeyer, R. (2004). The effects of distance education on K-12 student outcomes: A meta-analysis. Naperville, IL: Learning Point Associates. Retrieved from http://eric.ed.gov/?id=ED489533
  • Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. Journal of the Learning Sciences, 13(1), 15–42. doi: 10.1207/s15327809jls1301_2
  • Dee, T. S. (2015). Social identity and achievement gaps: Evidence from an affirmation intervention. Journal of Research on Educational Effectiveness, 8(2), 149–168. doi: 10.1080/19345747.2014.906009
  • Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. doi: 10.1177/1529100612453266
  • Eccles-Parsons, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motivation (pp. 75–146). San Francisco, CA: W. H. Freeman.
  • Eccles, J., Wigfield, A., Harold, R. D., & Blumenfeld, P. (1993). Age and gender differences in children's self- and task perceptions during elementary school. Child Development, 64(3), 830–847.
  • Gaspard, H., Dicke, A., Flunger, B., Brisson, B., Hafner, I., Nagengast, B., & Trautwein, U. (2015). Fostering adolescents’ value beliefs for mathematics with a relevance intervention in the classroom. Developmental Psychology, 51(9), 1226–1240. doi: 10.1037/dev0000028
  • Gaspard, H., Häfner, I., Parrisius, C., Trautwein, U., & Nagengast, B. (2017). Assessing task values in five subjects during secondary school: Measurement structure and mean level differences across grade level, gender, and academic subject. Contemporary Educational Psychology, 48, 67–84.
  • Harackiewicz, J. M., Canning, E. A., Tibbetts, Y., Priniski, S. J., & Hyde, J. S. (2016). Closing achievement gaps with a utility-value intervention: Disentangling race and social class. Journal of Personality and Social Psychology, 111, 745–765. doi: 10.1037/pspp0000075
  • Harackiewicz, J. M., & Priniski, S. J. (2018). Improving student outcomes in higher education: The science of targeted intervention. Annual Review of Psychology, 69.
  • Hulleman, C. S. (2007). The role of utility value in the development of interest and achievement. Madison: University of Wisconsin-Madison. Retrieved from ERIC database (ED498264)
  • Hulleman, C. S., & Barron, K. E. (2016). Motivation interventions in education: Bridging theory, research, and practice. In L. Corno & E. M. Anderman (Eds.), Handbook of educational psychology (3rd ed., pp. 160–171). New York, NY: Routledge.
  • Hulleman, C. S., & Cordray, D. S. (2009). Moving from the lab to the field: The role of fidelity and achieved relative intervention strength. Journal of Research on Educational Effectiveness, 2(1), 88–110. doi: 10.1080/19345740802539325
  • Hulleman, C. S., Godes, O., Hendricks, B. L., & Harackiewicz, J. M. (2010). Enhancing interest and performance with a utility value intervention. Journal of Educational Psychology, 102, 880–895. doi: 10.1037/a0019506
  • Hulleman, C. S., & Harackiewicz, J. M. (2009). Promoting interest and performance in high school science classes. Science, 326(5958), 1410–1412. doi: 10.1126/science.1177067
  • Hulleman, C. S., Kosovich, J. J., Barron, K. E., & Daniel, D. B. (2017). Making connections: Replicating and extending the utility value intervention in the classroom. Journal of Educational Psychology, 109(3), 387–404. doi: 10.1037/edu0000146
  • Jacobs, J., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Ontogeny of children’s self-beliefs: Gender and domain differences across grades one through 12. Child Development, 73, 509–527. doi: 10.1111/1467-8624.00421
  • Kaplan, A., Katz, I., & Flum, H. (2012). Motivation theory in educational practice: Knowledge claims, challenges, and future directions. In K. R. Harris, S. Graham, & T. Urdan (Eds.), Educational psychology handbook: Vol. 2. Individual differences in cultural and contextual factors (pp. 165–194). Washington, DC: American Psychological Association.
  • Kelley, T., & Kelley, D. (2013). Creative confidence: Unleashing the creative potential within us all. New York, NY: Crown Business.
  • Kosovich, J., Hulleman, C. S., Barron, K. E., & Getty, S. (2015). A practical measure of student motivation: Establishing validity for the expectancy-value-cost scale in middle school. Journal of Early Adolescence, 35(5–6), 790–816. doi: 10.1177/0272431614556890
  • Kosovich, J. J. (2017). Pragmatic measurement for education science: A method-substance synergy of validation and motivation (Unpublished doctoral dissertation). Charlottesville, VA: University of Virginia.
  • Kosovich, J. J., Hulleman, C. S., & Barron, K. E. (2017). Measuring motivation in educational settings: A case for pragmatic measurement. To appear in K. A. Renninger & S. E. Hidi (Eds.), The Cambridge handbook on motivation and learning (pp. 39–60). New York, NY: Routledge.
  • Kosovich, J. J., Hulleman, C. S., Phelps, J., & Lee, M. (2016, April 9). Improving student success in developmental math: A utility value intervention. Poster presented at the meeting of the American Educational Research Association Annual Conference, Washington, DC
  • Krumm, A. E., Beattie, R., Takahashi, S., D'Angelo, C., Feng, M., & Cheng, B. (2016). Practical measurement and productive persistence: Strategies for using digital learning system data to drive improvement. Journal of Learning Analytics, 3(2), 116–138. doi: 10.18608/jla.2016.32.6
  • Musu-Gillette, L. E., Wigfield, A., Harring, J., & Eccles, J. S. (2015). Trajectories of change in student’s self-concepts of ability and values in math and college major choice. Educational Research and Evaluation, 21(4), 343. doi: 10.1080/13803611.2015.1057161
  • O’Dwyer, L. M., Carey, R., & Kleiman, G. (2007). A study of the effectiveness of the Louisiana Algebra I online course. Journal of Research on Technology in Education, 39(3), 289–306. doi: 10.1080/15391523.2007.10782484
  • Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. Austin: University of Texas at Austin. Retrieved from https://utexas-ir.tdl.org
  • Picciano, A. G., & Seaman, J. (2009). K-12 online learning: A 2008 follow-up of the survey of US school district administrators. Newburyport, MA: The Sloan Consortium.
  • Rice, K. L. (2006). A comprehensive look at distance education in the K–12 context. Journal of Research on Technology in Education, 38(4), 425–448. doi: 10.1080/15391523.2006.10782468
  • Rosenzweig, E. Q., & Wigfield, A. (2016). STEM motivation interventions for adolescents: A promising start, but further to go. Educational Psychologist, 51(2), 146–163. doi: 10.1080/00461520.2016.1154792
  • Shadish, W. R., & Cook, T. D. (2009). The renaissance of field experimentation in evaluating interventions. Annual Review of Psychology, 60, 607–629. doi: 10.1146/annurev.psych.60.110707.163544
  • Sheehy, K. (2012). States, districts require online ed for high school graduation. US News and World Report.
  • Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006). Math and science motivation: A longitudinal examination of the links between choice and beliefs. Developmental Psychology, 42, 70–83. doi: 10.1037/0012-1649.42.1.70
  • Spielhagen, F. R. (2006). Closing the achievement gap in math: The long-term effects of eighth-grade algebra. Journal of Advanced Academics, 18(1), 34–59. doi: 10.4219/jaa-2006-344
  • Stone, C. (1998). Leveling the playing field: An urban school system examines equity in access to mathematics curriculum. Urban Review, 30(4), 295–307. doi: 10.1023/A:1023246618407
  • Tibbetts, Y., Harackiewicz, J. M., Priniski, S. J., & Canning, E. A. (2016). Broadening participation in the life sciences with social-psychological interventions. CBE Life Sciences Education, 15(3), 1–10. doi: 10.1187/cbe.16-01-0001
  • Watson, J., Pape, L., Murin, A. L., Gemin, B., & Vashaw, L. (2014). Keeping pace with K-12 digital learning: An annual review of policy and practice. Evergreen, CO: Evergreen Education Group. Retrieved from www.kpk12.com
  • Watt, H. M. (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. doi: 10.1111/j.1467-8624.2004.00757.x
  • Wigfield, A., Tonks, S. M., & Klauda, S. L. (2016). Expectancy-value theory. In K. R. Wentzel & D. B. Miele (Eds.), Handbook of motivation of school (2nd ed., pp. 55–74). New York, NY: Routledge.
  • Yeager, D. S., & Walton, G. M. (2011). Social-psychological interventions in education: They’re not magic. Review of Educational Research, 81, 267–301. doi: 10.3102/0034654311405999
  • Yeager, D. S., Romero, C., Paunesku, D., Hulleman, C. S., Schneider, B., Hinojosa, C., … Trott, J. (2016). Using design thinking to improve psychological interventions: The case of the growth mindset during the transition to high school. Journal of Educational Psychology, 108(3), 374–391. doi: 10.1037/edu0000098

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