Don’t Take It Personally? The Role of Personal Relevance in Conceptual Change

References

• Alvermann, D. E., & Hague, S. A. (1989). Comprehension of counterintuitive science text: Effects of prior knowledge and text structure. The Journal of Educational Research, 82(4), 197–202. doi:https://doi.org/10.1080/00220671.1989.10885893
   Web of Science ®Google Scholar
• Alvermann, D. E., & Hynd, C. R. (1989). Effects of prior knowledge activation modes and text structure on nonscience majors’ comprehension of physics. The Journal of Educational Research, 83(2), 97–102. doi:https://doi.org/10.1080/00220671.1989.10885937
   Web of Science ®Google Scholar
• Ariasi, N., Hyönä, J., Kaakinen, J. K., & Mason, L. (2017). An eye‐ movement analysis of the refutation effect in reading science text. Journal of Computer Assisted Learning, 33(3), 202–221. doi:https://doi.org/10.1111/jcal.12151
   Web of Science ®Google Scholar
• Association of Mathematics Teacher Educators. (n.d.). Frequently asked questions about the Common Core State Standards for Mathematics (CCSSM). https://www.amte.net/resources/ccssm/faq#faq3.
   Google Scholar
• Braasch, J. L. G., Goldman, S. R., & Wiley, J. (2013). The influences of text and reader characteristics on learning from refutations in science texts. Journal of Educational Psychology, 105(3), 561–578. doi:https://doi.org/10.1037/a0032627
   Web of Science ®Google Scholar
• Buehl, M. M., & Beck, J. S. (2015). The relationship between teachers’ beliefs and teachers’ practices. In H. Fives & M. G. Gill (Eds.), International handbook of research on teachers’ beliefs (pp. 66–84). Routledge.
   Google Scholar
• Buehl, M., & Fives, H. (2016). The role of epistemic cognition in teacher learning and praxis. In J. A. Greene, W. A. Sandoval, & I. Bråten (Eds.). Handbook of epistemic cognition (pp. 247–264). Routledge.
   Google Scholar
• Cacioppo, J. T., & Petty, R. E. (1981). Social psychological procedures for cognitive response assessment: The thought-listing technique. In T. V. Merluzzi, C. R. Glass, & M. Genest (Eds.), Cognitive assessment (pp. 309–342). Guilford Press.
   Google Scholar
• Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212–252). Guilford Press.
   Google Scholar
• Chinn, C. A., & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for Sscience instruction. Review of Educational Research, 63(1), 1–49. doi:https://doi.org/10.3102/00346543063001001
   Web of Science ®Google Scholar
• Chi, M. T. H. (2013). Two kinds and four sub-types of misconceived knowledge, ways to change it, and the learning outcomes. In S. Vosniadou (Ed.), International handbook of research on conceptual change (2nd ed., pp. 49-70). New York, NY: Routledge Press.
   Google Scholar
• Chi, M.T.H. (2008). Three types of conceptual change: Belief revision, mental model transformation, and categorical shift. In S. Vosniadou (Ed.), Handbook of research on conceptual change (pp. 61-82). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Christopher, R. R., Jeffrey, C. V., Maggie, B. M., & Robert, N. R. (2010). Methods of instructional improvement in algebra: A systematic review and meta-analysis. Review of Educational Research, 80(3), 372–400.
   Web of Science ®Google Scholar
• Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6(4), 284–290. doi:https://doi.org/10.1037/1040-3590.6.4.284
   Google Scholar
• Cook, J., & Lewandowsky, S. (2016). Rational irrationality: Modeling climate change belief polarization using bayesian networks. Topics in Cognitive Science, 8(1), 160–179. doi:https://doi.org/10.1111/tops.12186
   PubMed Web of Science ®Google Scholar
• Crum, A. J., Corbin, W. R., Brownell, K. D., & Salovey, P. (2011). Mind over milkshakes: Mindsets, not just nutrients, determine ghrelin response. Health Psychology, 30(4), 424–429. doi:https://doi.org/10.1037/a0023467
   PubMed Web of Science ®Google Scholar
• Derricks, V., & Earl, A. (2019). Information targeting increases the weight of stigma: Leveraging relevance backfires when people feel judged. Journal of Experimental Social Psychology, 82, 277–293. doi:https://doi.org/10.1016/j.jesp.2018.12.003
   Web of Science ®Google Scholar
• Depaepe, F., De Corte, E., & Verschaffel, L. (2016). Mathematical epistemic cognition: A review of the research literature. In J. A. Greene, W. A. Sandoval, & I. Bråten (Eds.). Handbook of epistemic cognition (pp. 147-164). New York: Routledge.
   Google Scholar
• Dole, J. A., & Sinatra, G. M. (1998). Reconceptualizing change in the cognitive construction of knowledge. Educational Psychologist, 33(2–3), 109–128.
   Web of Science ®Google Scholar
• Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich.
   Google Scholar
• Ebert, E. K., & Crippen, K. J. (2010). Applying a cognitive-affective model of conceptual change to professional development. Journal of Science Teacher Education, 21(3), 371–388. doi:https://doi.org/10.1007/s10972-009-9183-2
   Google Scholar
• Ernest, P. (1989). The impact of beliefs on the teaching of mathematics. In P. Ernest (Ed.), Mathematics teaching: The state of the art (pp. 249–254). Falmer Press.
   Google Scholar
• Fennema, E., Carpenter, T. P., Franke, M. L., Levi, L., Jacobs, V. R., & Empson, S. (1996). A longitudinal study of learning to use children’s thinking in mathematics instruction. Journal for Research in Mathematics Education, 27(4), 403–434. doi:https://doi.org/10.2307/749875
   Web of Science ®Google Scholar
• Fennema, E., Carpenter, T., & Loef, M. (1990). Mathematics beliefs scales. Unpublished questionnaire. doi:https://doi.org/10.1207/s1532690xci0601_1
   Google Scholar
• Forgas, J. P. (2000). Feeling is believing? The role of processing strategies in mediating affective influences on beliefs. In N. H. Frijda, A. S. R. Manstead, & S. Bem (Eds.), Emotions and beliefs: How feelings influence thoughts (pp. 108–143). Cambridge University Press.
   Google Scholar
• Gill, M. G., Ashton, P. T., & Algina, J. (2004). Changing preservice teachers’ epistemological beliefs about teaching and learning in mathematics: An intervention study. Contemporary Educational Psychology, 29(2), 164–185. doi:https://doi.org/10.1016/j.cedpsych.2004.01.003
   Web of Science ®Google Scholar
• Givvin, K. B., Hiebert, J., Jacobs, J. K., Hollingsworth, H., & Gallimore, R. (2005). Are there national patterns of teaching? Evidence from the TIMSS 1999 video study. Comparative Education Review, 49(3), 311–343. doi:https://doi.org/10.1086/430260
   Web of Science ®Google Scholar
• Gollust, S. E., Barry, C. L., & Niederdeppe, J. (2017). Partisan responses to public health messages: Motivated reasoning and sugary drink taxes. Journal of Health Politics, Policy and Law, 42(6), 1005–1037. doi:https://doi.org/10.1215/03616878-4193606
   PubMed Web of Science ®Google Scholar
• Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60(1), 549–576. doi:https://doi.org/10.1146/annurev.psych.58.110405.085530
   PubMed Web of Science ®Google Scholar
• Greene, J. A. (2015). Serious challenges require serious scholarship: Integrating implementation science into the scholarly discourse. Contemporary Educational Psychology, 40, 112–120. doi:https://doi.org/10.1016/j.cedpsych.2014.10.007
   Web of Science ®Google Scholar
• Greene, J. A., Sandoval, W. A., & Bråten, I. (2016). Introduction to epistemic cognition. In J. A. Greene, W. A. Sandoval, & I. Bråten (Eds.). Handbook of epistemic cognition (pp. 495–510). Routledge.
   Google Scholar
• Gregoire, M. (2003). Is it a challenge or a threat? A dual-process model of teachers’ cognition and appraisal processes during conceptual change. Educational Psychology Review, 15(2), 147–179.
   Web of Science ®Google Scholar
• Guzzetti, B. J. (2000). Learning counter-intuitive science concepts: What have we learned from over a decade of research? Reading & Writing Quarterly, 16(2), 89–98. doi:https://doi.org/10.1080/105735600277971
   Google Scholar
• Guzzetti, B. J., Snyder, T. E., Glass, G. V., & Gamas, W. S. (1993). Promoting conceptual change in science: A comparative meta-analysis of instructional interventions from reading education and science education. Reading Research Quarterly, 28(2), 116–155. doi:https://doi.org/10.2307/747886
   Web of Science ®Google Scholar
• Hickey, D. T., Moore, A. L., & Pellegrino, J. W. (2001). The motivational and academic consequences of elementary mathematics environments: Do constructivist innovations and reforms make a difference? American Educational Research Journal, 38(3), 611–652. doi:https://doi.org/10.3102/00028312038003611
   Web of Science ®Google Scholar
• Hiebert, J. (1999). Relationships between research and the NCTM Standards. Journal for Research in Mathematics Education, 30(1), 3–19. doi:https://doi.org/10.2307/749627
   Web of Science ®Google Scholar
• Hiebert, J., & Grouws, D. A. (2007). The effects of classroom mathematics teaching on students’ learning. In F. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 371–404). Information Age.
   Google Scholar
• Hiebert, J., Stigler, J. W., Jacobs, J. K., Givvin, K. B., Garnier, H., Smith, M., Hollingsworth, H., Manaster, A., Wearne, D., & Gallimore, R. (2005). Mathematics teaching in the United States today (and tomorrow): Results from the TIMSS 1999 video study. Educational Evaluation and Policy Analysis, 27(2), 111–132. doi:https://doi.org/10.3102/01623737027002111
   Web of Science ®Google Scholar
• Hynd, C. R. (2001). Refutational texts and the change process. International Journal of Educational Research, 35(7–8), 699–714. doi:https://doi.org/10.1016/S0883-0355(02)00010-1
   Google Scholar
• Hynd, C. R. (2003). Conceptual change in response to persuasive messages. In G. M. Sinatra & P. R. Pintrich (Eds.), Intentional conceptual change (pp. 291–315). Erlbaum.
   Google Scholar
• Jacobs, J. K., Hiebert, J., Givvin, K. B., Hollingsworth, H., Garnier, H., & Wearne, D. (2006). Does eighth-grade mathematics teaching in the United States align with the NCTM Standards? Results from the TIMSS 1995 and 1999 video studies. JSTOR, 37(1), 5–32.
   Google Scholar
• Jones, S. H., Johnson, M. L., & Campbell, B. D. (2015). Hot factors for a cold topic: Examining the role of task-value, attention allocation, and engagement on conceptual change. Contemporary Educational Psychology, 42, 62–70. doi:https://doi.org/10.1016/j.cedpsych.2015.04.004
   Web of Science ®Google Scholar
• Kane, R., Sandretto, S., & Heath, C. (2002). Telling half the story: A critical review of research on the teaching beliefs and practices of university academics. Review of Educational Research, 72(2), 177–228. doi:https://doi.org/10.3102/00346543072002177
   Web of Science ®Google Scholar
• Kardash, C. M., & Scholes, R. J. (1995). Effects of preexisting beliefs and repeated readings on belief change, comprehension, and recall of persuasive text. Contemporary Educational Psychology, 20(2), 201–221. doi:https://doi.org/10.1006/ceps.1995.1013
   Web of Science ®Google Scholar
• Kendeou, P., & O’Brien, E. J. (2014). The Knowledge Revision Components (KReC) framework: Processes and mechanisms. In D. N. Rapp, & J. Braasch (Eds.), Processing inaccurate information: Theoretical and applied perspectives from cognitive science and the educational sciences (pp. 353–377). MIT Press.
   Google Scholar
• Kendeou, P., Walsh, E. K., Smith, E. R., & O’Brien, E. J. (2014). Knowledge revision processes in refutation texts. Discourse Processes, 51(5–6), 374–397. doi:https://doi.org/10.1080/0163853X.2014.913961
   Web of Science ®Google Scholar
• Kendeou, P., & Van Den Broek, P. (2007). The effects of prior knowledge and text structure on comprehension processes during reading of scientific texts. Memory & Cognition, 35(7), 1567–1577. doi:https://doi.org/10.3758/BF03193491
   PubMed Web of Science ®Google Scholar
• Kendeou, P., Smith, E. R., & O’Brien, E. J. (2013). Updating during reading comprehension: Why causality matters. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(3), 854–865. doi:https://doi.org/10.1037/a0029468
   PubMed Web of Science ®Google Scholar
• Kinchin, I. M. (2002). Why professional development should challenge teachers’ core beliefs. School Science Review, 84(306), 77–82.
   Google Scholar
• Kintsch, W., & van Dijk, T. A. (1978). Toward a model of text comprehension and production. Psychological Review, 85(5), 363–394. doi:https://doi.org/10.1037/0033-295X.85.5.363
   Web of Science ®Google Scholar
• Kroeze, W., Werkman, A., & Brug, J. (2006). A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Annals of Behavioral Medicine, 31(3), 205–223.
   Google Scholar
• Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd Ed.). New York: Guilford Press.
   Google Scholar
• Lortie, D. C. (2002). School teacher (2nd ed.). University of Chicago Press.
   Google Scholar
• Maheswaran, D., & Chaiken, S. (1991). Promoting systematic processing in low-motivation settings: Effect of incongruent information on processing and judgment. Journal of Personality and Social Psychology, 61(1), 13–25. doi:https://doi.org/10.1037/0022-3514.61.1.13
   PubMed Web of Science ®Google Scholar
• Mansour, N., Wegerif, R., Skinner, N., Postlethwaite, K., & Hetherington, L. (2016). Investigating and promoting trainee science teachers’ conceptual change of the nature of science with digital dialogue games ‘InterLoc’. Research in Science Education, 46(5), 667–684. doi:https://doi.org/10.1007/s11165-015-9475-9
   Web of Science ®Google Scholar
• National Council of Teachers of Mathematics. (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA: Author.
   Google Scholar
• Muthén, L.K. and Muthén, B.O. (2015). Mplus User’s Guide. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• Nauroth, P., Gollwitzer, M., Bender, J., & Rothmund, T. (2015). Social identity threat motivates science-discrediting online comments. PLOS ONE, 10. doi:https://doi.org/10.1371/journal.pone.0117476
   Google Scholar
• Nauroth, P., Gollwitzer, M., Bender, J., & Rothmund, T. (2014). Gamers against science: The case of the violent video games debate. European Journal of Social Psychology, 44(2), 104–116. doi:https://doi.org/10.1002/ejsp.1998
   Web of Science ®Google Scholar
• Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014). Effective messages in vaccine promotion: A randomized trial. Pediatrics, 133, E835-E842. doi:https://doi.org/10.1542/peds.2013-2365
   Google Scholar
• O’Donnell, C. L. (2008). Defining, conceptualizing, and measuring fidelity of implementation and its relationship to outcomes in K-12 curriculum intervention research. Review of Educational Research, 78(1), 33–84. doi:https://doi.org/10.3102/0034654307313793
   Web of Science ®Google Scholar
• Pekrun, R. (2006). The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice. Educational Psychology Review, 18(4), 315–341. doi:https://doi.org/10.1007/s10648-006-9029-9
   Web of Science ®Google Scholar
• Peterson, P. L., Fennema, E., Carpenter, T., & Loef, M. (1989). Teachers’ pedagogical content beliefs in mathematics. Cognition and Instruction, 6(1), 1–40. doi:https://doi.org/10.1207/s1532690xci0601_1
   Web of Science ®Google Scholar
• Petty, R. E., Cacioppo, J. T., & Goldman, R. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41(5), 847–855. doi:https://doi.org/10.1037/0022-3514.41.5.847
   Web of Science ®Google Scholar
• Petty, R. E., & Wegener, D. T. (1999). The elaboration likelihood model: Current status and controversies. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 41–72). Guilford Press.
   Google Scholar
• Philipp, R. A. (2007). Mathematics teachers’ beliefs and affect. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning: A project of the National Council of Teachers of Mathematics (pp. 435–458). Information Age.
   Google Scholar
• Pluviano, S., Watt, C., & Della Sala, S. (2017). Misinformation lingers in memory: Failure of three pro-vaccination strategies. PLOS ONE, 12(7), e0181640. doi:https://doi.org/10.1371/journal.pone.0181640
   PubMed Web of Science ®Google Scholar
• Posner, G. J., Strike, K. A., Hewson, P. W., & Gertzog, W. (1982). Accommodation of scientific conception: Toward a theory of conceptual change. Science Education, 66(2), 211–227. doi:https://doi.org/10.1002/sce.3730660207
   Google Scholar
• Reavis, R. D., Ebbs, J. B., Onunkwo, A. K., & Sage, L. M. (2017). A self-affirmation exercise does not improve intentions to vaccinate among parents with negative vaccine attitudes (and may decrease intentions to vaccinate). PLOS ONE, 12(7), e0181368 . doi:https://doi.org/10.1371/journal.pone.0181368
   PubMed Web of Science ®Google Scholar
• Reys, R., Reys, B., Lapan, R., Holliday, G., & Wasman, D. (2003). Assessing the impact of ‘standards’-based middle grades mathematics curriculum materials on student achievement. Journal for Research in Mathematics Education, 34(1), 74–95. doi:https://doi.org/10.2307/30034700
   Web of Science ®Google Scholar
• Ross, J. A., McDougall, D., & Hogaboam-Gray, A. (2002). Research on reform in mathematics education, 1993–2000. The Alberta Journal of Educational Research, 48, 122–138.
   Google Scholar
• Schoenfeld, A. H. (1988). When good teaching leads to bad results: The disasters of “well-taught” mathematics courses. Educational Psychologist, 23(2), 145–166. doi:https://doi.org/10.1207/s15326985ep2302_5
   Web of Science ®Google Scholar
• Schwartz, M. S., Shapiro, I. I., & Gregory, B. (2013). Confronting the need for conceptual change in pre-service science education. Higher Education Studies, 3(5), 11–28. doi:https://doi.org/10.5539/hes.v3n5p11
   Google Scholar
• Sherman, D. K., & Cohen, G. L. (2002). Accepting Threatening Information: Self–Affirmation and the Reduction of Defensive Biases. Current Directions in Psychological Science, 11(4), 119–123. doi:https://doi.org/10.1111/1467-8721.00182
   Web of Science ®Google Scholar
• Sinatra, G. M. (2005). The “warming trend” in conceptual change research: The legacy of Paul R. Pintrich. Educational Psychologist, 40(2), 107–115. doi:https://doi.org/10.1207/s15326985ep4002_5
   Web of Science ®Google Scholar
• Skinner, C. S., Campbell, M. K., Rimer, B. K., Curry, S., & Prochaska, J. O. (1999). How effective is tailored print communication? Annals of Behavioral Medicine, 21(4), 290–298. doi:https://doi.org/10.1007/BF02895960
   PubMed Web of Science ®Google Scholar
• Slavich, G. M., & Zimbardo, P. G. (2012). Transformational teaching: Theoretical underpinnings, basic principles, and core methods. Educational Psychology Review, 24(4), 569–608. doi:https://doi.org/10.1007/s10648-012-9199-6
   PubMed Web of Science ®Google Scholar
• Smith, E. R., & DeCoster, J. (1999). Associative and rule-based processing: A connectionist interpretation of dual-process models. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 323–336). Guilford Press.
   Google Scholar
• Staub, F. C., & Stern, E. (2002). The nature of teachers’ pedagogical content beliefs matters for students’ achievement gains: Quasi-experimental evidence from elementary mathematics. Journal of Educational Psychology, 94(2), 344–355. doi:https://doi.org/10.1037/0022-0663.94.2.344
   Web of Science ®Google Scholar
• Stigler, J. W., & Hiebert, J. (2009). Closing the teaching gap. Phi Delta Kappan, 91(3), 32–37. doi:https://doi.org/10.1177/003172170909100307
   Web of Science ®Google Scholar
• Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50(3), 755–769. doi:https://doi.org/10.1111/j.1540-5907.2006.00214.x
   Web of Science ®Google Scholar
• Tippett, C. D. (2010). Refutation text in science education: A review of two decades of research. International Journal of Science and Mathematics Education, 8(6), 951–970. doi:https://doi.org/10.1007/s10763-010-9203-x
   Web of Science ®Google Scholar
• Trevors, G., Kendeou, P., Bråten, I., & Braasch, J. (2017). Adolescents’ epistemic profiles in the service of knowledge revision. Contemporary Educational Psychology, 49, 107–120. doi:https://doi.org/10.1016/j.cedpsych.2017.01.005
   Web of Science ®Google Scholar
• Trevors, G., Kendeou, P., & Butterfuss, R. (2017). Emotion processes in knowledge revision. Discourse Processes, 54(5–6), 406–426. doi:https://doi.org/10.1080/0163853X.2017.1312201
   Web of Science ®Google Scholar
• Trevors, G. J., Muis, K. R., Pekrun, R., Sinatra, G. M., & Winne, P. H. (2016). Identity and epistemic emotions during knowledge revision: A potential account for the backfire effect. Discourse Processes, 53(5–6), 339–370. doi:https://doi.org/10.1080/0163853X.2015.1136507
   Web of Science ®Google Scholar
• Van Den Broek, P., & Kendeou, P. (2008). Cognitive processes in comprehension of science texts: the role of co-activation in confronting misconceptions. Applied Cognitive Psychology, 22(3), 335–351. doi:https://doi.org/10.1002/acp.1418
   Web of Science ®Google Scholar
• Van den Broek, P. (2010). Using texts in science education: Cognitive processes and knowledge representation. Science, 328(5977), 453–456. doi:https://doi.org/10.1126/science.1182594
   PubMed Web of Science ®Google Scholar
• Wenglinsky, H. (2000). How teaching matters: Bringing the classroom back into discussions of teacher quality. Educational Testing Service. http://www.etc.org/research/pic.
   Google Scholar
• Yeager, D. S., Walton, G. M., Brady, S. T., Akcinar, E. N., Paunesku, D., Keane, L., Kamentz, D., Ritter, G., Duckworth, A. L., Urstein, R., Gomez, E. M., Markus, H. R., Cohen, G. L., & Dweck, C. S. (2016). Teaching a lay theory before college narrows achievement gaps at scale. Proceedings of the National Academy of Sciences, 113(24), E3341–E3348. doi:https://doi.org/10.1073/pnas.1524360113
   PubMed Web of Science ®Google Scholar