Abstract
Recent research in a text-based educational context has demonstrated a seemingly paradoxical disfluency effect in reading, namely that learning with hard-to-read (disfluent) materials helps learners recall more details than learning with easy-to-read (fluent) materials. Many follow-up studies using a variety of participants, learning materials, and experimental designs have been conducted to verify the effects of disfluency manipulation on recall, transfer, judgments of learning, and learning time. However, a number of them have failed to replicate this effect and the mixed findings bring into question the generality of the disfluency effect with respect to learning. In this meta-analysis, we tested the overall effect of perceptual disfluency on learning with texts, as well as moderators of this effect, based on 25 empirical articles involving 3135 participants. Results showed that overall, there was no effect of perceptual disfluency on recall (d = − 0.01) or transfer (d = 0.03), but perceptual disfluency did reduce participants’ judgments of learning (d = − 0.43) and increase learning time (d = 0.52). Tests of moderation focused on the most commonly studied dependent measure, namely recall. There was no evidence that characteristics of the participants, learning material, or experimental design moderated the effect of perceptual disfluency on recall. In general, though perceptual disfluency can be used as an effective metacognitive cue to reduce judgments of learning and increase learning time, there is not enough evidence to show that it either stimulates analytic processing or increases extraneous cognitive load.
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References
Alter, A. L., & Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219–235.
Alter, A. L., Oppenheimer, D. M., Epley, N., & Eyre, R. N. (2007). Overcoming intuition: metacognitive difficulty activates analytic reasoning. Journal of Experimental Psychology: General, 136(4), 569–576.
Atkinson, R. K., Renkl, A., & Merrill, M. M. (2003). Transitioning from studying examples to solving problems: effects of self-explanation prompts and fading worked-out steps. Journal of Educational Psychology, 95(4), 774–783.
Baddeley, A. (1992). Working memory. Science, 255(5044), 556–559.
Ball, B. H., Klein, K. N., & Brewer, G. A. (2014). Processing fluency mediates the influence of perceptual information on monitoring learning of educationally relevant materials. Journal of Experimental Psychology: Applied, 20(4), 336–348 This study is included in the meta-analysis.
Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4), 1088–1101.
Besken, M., & Mulligan, N. W. (2013). Easily perceived, easily remembered? Perceptual interference produces a double dissociation between metamemory and memory performance. Memory & Cognition, 41(6), 897–903.
Bjork, R. A. (1994). Memory and metamemory considerations in the training of human beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: knowing about knowing (pp. 185–205). Cambridge: MIT Press.
Bjork, R. A. (2013). Desirable difficulties perspective on learning. In H. Pashler (Ed.), Encyclopedia of the mind (Vol. 4, pp. 134–146). Thousand Oaks: Sage Publication.
Bjork, R. A., & Yue, C. L. (2016). Commentary: is disfluency desirable? Metacognition and Learning, 11(1), 133–137.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester: Wiley.
Carpenter, S. K., Wilford, M. M., Kornell, N., & Mullaney, K. M. (2013). Appearances can be deceiving: instructor fluency increases perceptions of learning without increasing actual learning. Psychonomic Bulletin & Review, 20(6), 1350–1356 This study is included in the meta-analysis.
Carpenter, S. K., Mickes, L., Rahman, S., & Fernandez, C. (2016). The effect of instructor fluency on students’ perceptions of instructors, confidence in learning, and actual learning. Journal of Experimental Psychology: Applied, 22(2), 161–172 This study is included in the meta-analysis.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Lawrence Erlbaum Associates.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
De Bruin, A. B., & Van Gog, T. (2012). Improving self-monitoring and self-regulation: from cognitive psychology to the classroom. Learning and Instruction, 22(4), 245–252.
Diemand-Yauman, C., Oppenheimer, D. M., & Vaughan, E. B. (2011). Fortune favors the bold (and the italicized): effects of disfulency on educational outcomes. Cognition, 118(1), 111–115 This study is included in the meta-analysis.
Dunlosky, J., & Ariel, R. (2011). Self-regulated learning and the allocation of study time. In B. Ross (Ed.), The psychology of learning and motivation: advances in research and theory (pp. 103–140). San Diego: Academic Press.
Dunlosky, J., & Metcalfe, J. (2009). Metacognition. Los Angeles: SAGE.
Dunlosky, J., & Mueller, M. L. (2016). Recommendations for exploring the disfluency hypothesis for establishing whether perceptually degrading materials impacts performance. Metacognition and Learning, 11(1), 123–131.
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315(7109), 629–634.
Eitel, A., & Kühl, T. (2016). Effects of disfluency and test expectancy on learning with text. Metacognition and Learning, 11(1), 107–121 This study is included in the meta-analysis.
Eitel, A., Kühl, T., Scheiter, K., & Gerjets, P. (2014). Disfluency meets cognitive load in multimedia learning: does harder-to-read mean better-to-understand? Applied Cognitive Psychology, 28(4), 488–501 This study is included in the meta-analysis.
Faber, M., Mills, C., Kopp, K., & D'Mello, S. (2017). The effect of disfluency on mind wandering during text comprehension. Psychonomic Bulletin & Review, 24(3), 914–919 This study is included in the meta-analysis.
Franco, A., Malhotra, N., & Simonovits, G. (2014). Publication bias in the social sciences: unlocking the file drawer. Science, 345(6203), 1502–1505.
Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25–42.
French, M. M. J. (n.d.). Changing fonts in education: the time dependence of the benefits. Retrieved from http://matthewfrench.net/pubs/Changing%20Fonts%20in%20Education%20Time%20Dependence.pdf. This study is included in the meta-analysis.
French, M. M. J., Blood, A., Bright, N. D., Futak, D., Grohmann, M. J., Hasthorpe, A., Heritage, J., Poland, R. L., Reece, S., & Tabor, J. (2013). Changing fonts in education: how the benefits vary with ability and dyslexia. The Journal of Educational Research, 106(4), 301–304 This study is included in the meta-analysis.
Guenther, R. K. (2012). Does the processing fluency of a syllabus affect the forecasted grade and course difficulty? Psychological Reports, 110(3), 946–954 This study is included in the meta-analysis.
Haysom, H. J. (2012). Could Comic Sans make you smarter? An exploration of the effects of disfluency on learning outcomes (Honours thesis). Brisbane: University of Queensland This study is included in the meta-analysis.
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327(7414), 557–560.
Hirshman, E. L., & Bjork, R. A. (1988). The generation effect: support for a two-factor theory. Journal of Experimental Psychology: Learning, Memory, & Cognition, 14(3), 484–494.
James, W. (1950). The principles of psychology. New York: Dover (Original work published 1890).
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19(4), 509–539.
Kalyuga, S. (2012). Instructional benefits of spoken words: a review of cognitive load factors. Educational Research Review, 7(2), 145–159.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38(1), 23–31.
Katzir, T., Hershko, S., & Halamish, V. (2013). The effect of font size on reading comprehension on second and fifth grade children: bigger is not always better. PLoS One, 8(9), e74061 This study is included in the meta-analysis.
Koriat, A. (1997). Monitoring one’s own knowledge during study: a cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General, 126(4), 349–370.
Koriat, A. (2012). The relationships between monitoring, regulation and performance. Learning and Instruction, 22(4), 296–298.
Koriat, A., Ma’ayan, H., & Nussinson, R. (2006). The intricate relationships between monitoring and control in metacognition: lessons for the cause-and-effect relation between subjective experience and behavior. Journal of Experimental Psychology: General, 135(1), 36–69.
Kühl, T., & Eitel, A. (2016). Effects of disfluency on cognitive and metacognitive processes and outcomes. Metacognition and Learning, 11(1), 1–13.
Kühl, T., Eitel, A., Damnik, G., & Körndle, H. (2014a). The impact of disfluency, pacing, and students’ need for cognition on learning with multimedia. Computers in Human Behavior, 35, 189–198 This study is included in the meta-analysis.
Kühl, T., Eitel, A., Scheiter, K., & Gerjets, P. (2014b). A call for an unbiased search for moderators in disfluency research: reply to Oppenheimer and Alter (2014). Applied Cognitive Psychology, 28(5), 805–806.
Lee, M., H. (2013). Effects of disfluent Kanji fonts on reading retention with e-book. Paper presented at the 2013 IEEE 13th International Conference on Advanced Learning Technologies (pp. 481–482). Beijing, China: IEEE. This study is included in the meta-analysis.
Lehmann, J., Goussios, C., & Seufert, T. (2016). Working memory capacity and disfluency effect: an aptitude-treatment-interaction study. Metacognition and Learning, 11(1), 89–105 This study is included in the meta-analysis.
Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage Publications.
Magreehan, D. A., Serra, M. J., Schwartz, N. H., & Narciss, S. (2016). Further boundary conditions for the effects of perceptual disfluency on judgments of learning. Metacognition and Learning, 11(1), 35–56.
Mayer, R. E. (1984). Aids to text comprehension. Educational Psychologist, 19(1), 30–42.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York: Cambridge University Press.
McNamara, D. S., Kintsch, E., Songer, N. B., & Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cognition and Instruction, 14(1), 1–43.
Metcalfe, J., & Finn, B. (2008). Evidence that judgments of learning are causally related to study choice. Psychonomic Bulletin & Review, 15(1), 174–179.
Meyer, A., Frederick, S., Burnham, T. C., Guevara Pinto, J. D., Boyer, T. W., Ball, L. J., et al. (2015). Disfluent fonts don't help people solve math problems. Journal of Experimental Psychology: General, 144(2), e16–e30.
Miele, D. B., & Molden, D. C. (2010). Naive theories of intelligence and the role of processing fluency in perceived comprehension. Journal of Experimental Psychology: General, 139(3), 535–557 This study is included in the meta-analysis.
Mueller, M. L., Dunlosky, J., Tauber, S. K., & Rhodes, M. G. (2014). The font-size effect on judgments of learning: does it exemplify fluency effects or reflect people’s beliefs about memory? Journal of Memory and Language, 70, 1–12.
Oppenheimer, D. M., & Alter, A. L. (2014). The search for moderators in disfluency research. Applied Cognitive Psychology, 28(4), 502–504.
Paas, F., & Van Gog, T. (2006). Optimising worked example instruction: different ways to increase germane cognitive load. Learning and Instruction, 16(2), 87–91.
Pieger, E., Mengelkamp, C., & Bannert, M. (2016). Metacognitive judgments and disfluency—does disfluency lead to more accurate judgments, better control, and better performance? Learning and Instruction, 44, 31–40 This study is included in the meta-analysis.
Pieger, E., Mengelkamp, C., & Bannert, M. (2017). Fostering analytic metacognitive processes and reducing overconfidence by disfluency: the role of contrast effects. Applied Cognitive Psychology, 31(3), 291–301 This study is included in the meta-analysis.
Reber, R., & Greifeneder, R. (2017). Processing fluency in education: how metacognitive feelings shape learning, belief formation, and affect. Educational Psychologist, 52(2), 84–103.
Reber, R., Wurtz, P., & Zimmermann, T. D. (2004). Exploring “fringe” consciousness: the subjective experience of perceptual fluency and its objective bases. Consciousness and Cognition, 13(1), 47–60.
Reinwein, J. (2012). Does the modality effect exist? And if so, which modality effect? Journal of Psycholinguistic Research, 41(1), 1–32.
Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638–641.
Rummer, R., Schweppe, J., & Schwede, A. (2016). Fortune is fickle: null-effects of disfluency on learning outcomes. Metacognition and Learning, 11(1), 57–70 This study is included in the meta-analysis.
Sanchez, C. A., & Khan, S. (2016). Instructor accents in online education and their effect on learning and attitudes. Journal of Computer Assisted Learning, 32(5), 494–502 This study is included in the meta-analysis.
Seufert, T., Wagner, F., & Westphal, J. (2017). The effects of different levels of disfluency on learning outcomes and cognitive load. Instructional Science, 45(2), 221–238 This study is included in the meta-analysis.
Sidi, Y., Ophir, Y., & Ackerman, R. (2016). Generalizing screen inferiority-does the medium, screen versus paper, affect performance even with brief tasks? Metacognition and Learning, 11(1), 15–33.
Son, L. K., & Metcalfe, J. (2000). Metacognitive and control strategies in study-time allocation. Journal of Experimental Psychology: Learning Memory, and Cognition, 26(1), 204–221.
Strukelj, A., Scheiter, K., Nyström, M., & Holmqvist, K. (2016). Exploring the lack of a disfluency effect: evidence from eye movements. Metacognition and Learning, 11(1), 71–88 This study is included in the meta-analysis.
Sweller, J., Van Merriënboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–296.
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.
Thompson, V. A., Prowse Turner, J. A., Pennycook, G., Ball, L. J., Brack, H., Ophir, Y., et al. (2013). The role of answer fluency and perceptual fluency as metacognitive cues for initiating analytic thinking. Cognition, 128(2), 237–251.
Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: can it facilitate? International Journal of Human-Computer Studies, 57(4), 247–262.
Weissgerber, S. C., & Reinhard, M. A. (2017). Is disfluency desirable for learning? Learning and Instruction, 49, 199–217 This study is included in the meta-analysis.
Weltman, D., & Eakin, M. (2014). Incorporating unusual fonts and planned mistakes in study materials to increase business student focus and retention. INFORMS Transactions on Education, 15(1), 156–165 This study is included in the meta-analysis.
Whitehouse, E. (2011). An investigation into disfluency effects: depth of learning and affective outcomes (Honours thesis). Brisbane: University of Queensland. This study is included in the meta-analysis.
deWinstanley, P. A., & Bjork, E. L. (2004). Processing strategies and the generation effect: implications for making a better reader. Memory & Cognition, 32(6), 945–955.
Xie, H., Wang, F., Wang, Y., & An, J. (2016). Does harder-to-read mean better-to-learn? Effects of disfluency on learning outcomes. Advances in Psychological Science, 24(7), 1077–1090.
Yue, C. L., Castel, A. D., & Bjork, R. A. (2013). When disfluency is—and is not—a desirable difficulty: the influence of typeface clarity on metacognitive judgments and memory. Memory & Cognition, 41(2), 229–241.
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The authors would like to thank the researchers who provided details of their unpublished work.
Funding
This study was funded by the Major Program of National Social Science Foundation of China (grant number 11&ZD151) and Fundamental Research Funds of Central China Normal University (grant number CCNU14Z02004).
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Xie, H., Zhou, Z. & Liu, Q. Null Effects of Perceptual Disfluency on Learning Outcomes in a Text-Based Educational Context: a Meta-analysis. Educ Psychol Rev 30, 745–771 (2018). https://doi.org/10.1007/s10648-018-9442-x
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DOI: https://doi.org/10.1007/s10648-018-9442-x