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Metacognition and Learning

, Volume 7, Issue 2, pp 91–111 | Cite as

What makes a word difficult? Insights into the mental representation of technical terms

  • Regina JucksEmail author
  • Elisabeth Paus
Article

Abstract

Learning from texts requires reflection on how far one has mastered the material. Learners use such metacognitive processes to decide whether to engage in deeper learning activities or not. This article examines how the lexical surface of specialist concepts influences their mental representation. Lexical encodings that are the concise wordings of a concept (e.g., tension headache or migraine for specific types of headache) provide immediate access to the underlying content. To understand learning contents appropriately, learners have to work on such lexical covers to gain insight into the underlying semantic meaning. It was assumed that a technical term’s origin (either German or classical Latin/Greek) is used systematically as a hint for further elaboration. 41 college students rated the difficulty, familiarity, competence, accessibility, and their knowledge of 17 German-language (GL) terms and their classical language (CL) synonyms. The influence of word frequency was controlled. As expected, results showed that GL terms were perceived to be less difficult than CL terms. Consequently, comprehension of these terms was rated more highly. Analyses of how lexical encoding influenced accuracy of participants’ comprehension judgments showed that participants’ comprehension ratings were less accurate for GL terms. Theoretical and practical implications for learning from written information are discussed.

Keywords

Technical terms Perceived difficulty Feeling of knowing Conceptual understanding Metacognition Word comprehension 

Notes

Acknowledgments

The authors thank Lena Opitz, Stefanie Diener, Katharina Seiler and Franziska Thon for support with data collection and analysis and Jonathan Harrow for English language editing. This research was funded by a grant awarded to the first author within Special Priority Program SPP 1409 of the German Research Foundation (DFG; JU 471-2/1).

References

  1. Alderson, J. C. (2007). Judging the frequency of English words. Applied Linguistics, 28(3), 383–409. doi: 10.1093/applin/amm024.CrossRefGoogle Scholar
  2. Algarabel, S., Pitarque, A., Tomás, J. M., & Mazón, J. F. (2010). Explorations of familiarity produced by words with specific combinations of letters. European Journal of Cognitive Psychology, 22(2), 265–285. doi: 10.1080/09541440902767818.CrossRefGoogle Scholar
  3. Backman, J. (1976). Some common word attributes and their relations to objective frequency counts. Scandinavian Journal of Educational Research, 20, 175–186. doi: 10.1080/0031383760200112.CrossRefGoogle Scholar
  4. Bromme, R. (1996). Fachbegriffe [Specialist terms]. In G. Strube (Ed.), Wörterbuch der Kognitionswissenschaft (p. 184). Stuttgart: Klett-Cotta.Google Scholar
  5. Bromme, R., Rambow, R., & Nückles, M. (2001). Expertise and estimating what other people know: the influence of professional experience and type of knowledge. Journal of Experimental Psychology. Applied, 7(4), 317–330. doi: 10.1037//1076-898X.7.4.317-330.CrossRefGoogle Scholar
  6. Bromme, R., Jucks, R., & Runde, A. (2005). Barriers and biases in computer-mediated expert-layperson-communication: An overview and insights into the field of medical advice. In R. Bromme, F. W. Hesse, & H. Spada (Eds.), Barriers and biases in computer-mediated knowledge communication—and how they may be overcome (pp. 89–118). New York: Springer.CrossRefGoogle Scholar
  7. Brown, A. S. (1991). A review of the tip-of-the-tongue experience. Psychological Bulletin, 109, 204–223. doi: 10.1037/0033-2909.109.2.204.CrossRefGoogle Scholar
  8. Chen, N.-S., Wei, C.-W., Wu, K.-T., & Udden, L. (2009). Effect of high level prompts and peer assessment on online learners’ reflection levels. Computers in Education, 52, 283–291. doi: 10.1016/j.compedu.2008.08.07.CrossRefGoogle Scholar
  9. Clark, H. H. (1973). The language-as-a-fixed-effect fallacy: a critique of language statistics in psychological research. Journal of Verbal Learning and Verbal Behavior, 12, 335–359. doi: 10.1016/S0022-5371(73)80014-3.CrossRefGoogle Scholar
  10. Davis, E. A. (2003). Prompting middle school science students for productive reflection: generic and directed prompts. The Journal of the Learning Sciences, 12(1), 91–142. doi: 10.1207/S15327809JLS1201_4.CrossRefGoogle Scholar
  11. Glenberg, A. M., & Epstein, W. (1985). Calibration of comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11(1–4), 702–718. doi: 10.1037/0278-7393.11.1-4.702.CrossRefGoogle Scholar
  12. Glenberg, A. M., Wilkinson, A. C., & Epstein, W. (1982). The illusion of knowing: failure in the self-assessment of comprehension. Memory and Cognition, 10(6), 597–602. doi: 10.3758/BF03202442.CrossRefGoogle Scholar
  13. Goldberg, A., Russell, M., & Cook, A. (2003). The effect of computers on student writing: A meta-analysis of studies from 1992 to 2002. Journal of Technology, Learning, and Assessment, 2(1). Available from http://www.jtla.org.
  14. Häcker, H., & Stapf, K. H. (2004). Dorsch Psychologisches Wörterbuch [Dorsch psychological dictionary]. Göttingen: Hans Huber.Google Scholar
  15. Häkkinen, P., & Järvelä, S. (2006). Sharing and constructing perspectives in web-based conferencing. Computers in Education, 47, 433–447. doi: 10.1016/j.compedu.2004.10.015.CrossRefGoogle Scholar
  16. Hayes, J. R., & Bajzek, D. (2008). Understanding and reducing the knowledge effect: implications for writers. Written Communication, 25(1), 104–118. doi: 10.1177/0741088307311209.CrossRefGoogle Scholar
  17. Hildebrandt, H. (2004). Pschyrembel—Klinisches Wörterbuch [Pschyrembel clinical dictionary]. Berlin: Walter de Gruyter.Google Scholar
  18. Hogenraad, R. L., & Garagozov, R. R. (2010). Words of swords in the Caucasus: about a leading indicator of conflicts. Peace and Conflict: Journal of Peace Psychology, 16(1), 11–28. doi: 10.1080/10781910903479594.CrossRefGoogle Scholar
  19. Hulstijn, J. H. (2001). Intentional and incidental second-language vocabulary learning: A reappraisal of elaboration, rehearsal and automaticity. In P. Robinson (Ed.), Cognition and second language instruction (pp. 258–286). Cambridge: Cambridge University Press.Google Scholar
  20. Ittzés, I. (1991). Lexical guessing in isolation and context. Journal of Reading, 34, 360–366. Retrieved from http://www.jstor.org/stable/40032076.
  21. Jensen, J. D. (2008). Scientific uncertainty in news coverage of cancer research: effects of hedging on scientists’ and journalists’ credibility. Human Communication Research, 34, 347–369. doi: 10.1111/j.1468-2958.2008.00324.x.CrossRefGoogle Scholar
  22. Jucks, R., & Bromme, R. (2007). Choice of words in doctor—patient communication: an analysis of health-related internet sites. Health Communication, 21(3), 267–277. doi: 10.1080/10410230701307865.CrossRefGoogle Scholar
  23. Jucks, R., Schulte-Löbbert, P., & Bromme, R. (2007). Supporting experts’ written knowledge communication though reflective prompts on the use of specialist concepts. Zeitschrift für Psychologie/Journal of Psychology, 215, 237–247. doi: 10.1027/0044-3409.215.4.237.CrossRefGoogle Scholar
  24. Jucks, R., Becker, B.-M., & Bromme, R. (2008). Lexical entrainment in written discourse: is expert’s word use adapted to the addressee? Discourse Processes, 45, 497–518. doi: 10.1080/0163830802356547.CrossRefGoogle Scholar
  25. Just, M. A., & Carpenter, P. A. (1992). A capacity theory of comprehension: individual differences in working memory. Psychological Review, 99, 122–149. doi: 10.1037/0033-295X.99.1.122.CrossRefGoogle Scholar
  26. King, A. (1992). Comparison of self-questioning, summarizing, and note-taking-review as strategies for learning from lectures. American Educational Research Journal, 29, 303–323. doi: 10.3102/00028312029002303.Google Scholar
  27. Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge: Cambridge University Press.Google Scholar
  28. Koriat, A. (1993). How do we know that we know? The accessibility model of the feeling of knowing. Psychological Review, 100(4), 609–639. doi: 10.1037/0033295X.100.4.609.CrossRefGoogle Scholar
  29. Koriat, A. (1994). Memory’s Knowledge of its own knowledge: The accessibility account of the feeling of knowing. In J. Metcalfe & A. P. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 115–135). Cambridge: MIT Press.Google Scholar
  30. Koriat, A. (2000). The feeling of knowing: some metatheoretical implications for consciousness and control. Special issue of Consciousness and Cognition, 9, 149–171. doi: 10.1006/ccog.2000.0433.CrossRefGoogle Scholar
  31. Koriat, A., & Goldsmith, M. (1996). Memory metaphors and the real-life/laboratory controversy: correspondence versus storehouse conceptions of memory. The Behavioral and Brain Sciences, 19, 167–228. doi: 10.1017/S0140525X00042114.CrossRefGoogle Scholar
  32. Koriat, A., & Levi-Sadot, R. (2001). The combined contributions of the cue-familiarity and accessibility heuristics to feeling of knowing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(1), 34–53. doi: 10.1037//0278-7393.27.1.34.CrossRefGoogle Scholar
  33. Krippendorf, K. (2004). Reliability in content analysis. Some common misconceptions and recommendations. Human Communication Research, 30(3), 411–433. doi: 10.1093/hcr/30.3.411.Google Scholar
  34. MacArthur, C. A. (2006). The effects of new technologies on writing and writing processes. In C. A. MacArthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 248–274). New York: Guilford Press.Google Scholar
  35. Mäkitalo, K., Weinberger, A., Häkkinen, P., Järvelä, S., & Fischer, F. (2005). Epistemic cooperation scripts in online learning environments: fostering learning by reducing uncertainty in discourse? Computers in Human Behavior, 21, 603–622. doi: 10.1016/j.chb.2004.10.033.CrossRefGoogle Scholar
  36. McClelland, D. C. (1975). Power: The inner experience. New York: Halstead.Google Scholar
  37. Mills, C. M., & Keil, F. C. (2004). Knowing the limits of one’s understanding: the development of an awareness of an illusion of explanatory depth. Journal of Experimental Child Psychology, 87(1), 1–32. doi: 10.1016/j.jecp.2003.09.003.CrossRefGoogle Scholar
  38. Mondria, J. A., & Wit-de Boer, M. (1991). The effects of contextual richness on the guessability and the retention of words in a foreign language. Applied Psycholinguistics, 12(3), 249–267. Available from http://ezproxy.uno.edu.Google Scholar
  39. Nagy, W. (1997). On the role of context in first-and second-language vocabulary learning. In N. Schmitt & M. McCarthy (Eds.), Vocabulary: Description, acquisition and pedagogy (pp. 64–83). Cambridge: Cambridge University Press.Google Scholar
  40. Nussinson, R., & Koriat, A. (2008). Correcting experience-based judgments: the perseverance of subjective experience in the face of the correction of judgment. Metacognition and Learning, 3, 159–174. doi: 10.1007/s11409-008-9024-2.CrossRefGoogle Scholar
  41. Paus, E. & Jucks, R. (2008). Do we really mean the same? The relationship between word choices and computer mediated cooperative learning. In Kirschner, P. A., Prins, F., Jonker, V., & Kanselaar, G. (Eds.). International Perspectives in the Learning Sciences: Cre8ing a learning world. Proceedings of the 8th International Conference for the Learning Sciences, (2), 172–180.Google Scholar
  42. Paus, E., & Jucks, R. (2011). Depressive or just in a bad mood? Laypersons’ assumptions about their knowledge of medical vocabulary. Studies in Communication Sciences, 11(1), 51–71.Google Scholar
  43. Perfetti, C. A. (1999). Comprehending written language: A blueprint of the reader. In C. M. Brown & P. Hagoort (Eds.), The neurocognition of language processing (pp. 167–208). London: Oxford University Press.Google Scholar
  44. Perfetti, C. A. (2007). Reading ability: lexical quality to comprehension. Scientific Studies of Reading, 11(4), 357–383. doi: 10.1080/10888430701530730.CrossRefGoogle Scholar
  45. Perfetti, C. A., & Hart, L. (2002). The lexical quality hypothesis. In L. Vehoeven, C. Elbro, & P. Reitsma (Eds.), Precursors of functional literacy (pp. 189–213). Philadelphia: John Benjamins.Google Scholar
  46. Pickering, M. J., & Garrod, S. (2004). Toward a mechanistic psychology of dialogue. The Behavioral and Brain Sciences, 27, 169–225. doi: 10.1017/S0140525X0436005X.Google Scholar
  47. Pressley, M., & Gaskins, I. W. (2006). Metacognitively competent reading comprehension is constructively responsive reading: how can such reading be developed in students? Metacognition and Learning, 1, 99–113. doi: 10.1007/s11409-006-7263-7.CrossRefGoogle Scholar
  48. Raaijmakers, J. G. W. (2003). A further look at the “language-as-a-fixed-effect-fallacy”. Canadian Journal of Experimental Psychology, 57(3), 141–151. doi: 10.1037/h0087421.CrossRefGoogle Scholar
  49. Raaijmakers, J. G. W., Schrijnemakers, J. M. C., & Gremmen, F. (1999). How to deal with “The-language-as-a-fixed-effect-fallacy”: common misconceptions and alternative solutions. Journal of Memory and Language, 41, 416–426. doi: 10.1006/jmla.1999.2650.CrossRefGoogle Scholar
  50. Reder, L. M. (1987). Strategy selection in question answering. Cognitive Psychology, 19, 90–138. doi: 10.1016/0010-0285(87)90005-3.CrossRefGoogle Scholar
  51. Rozenblit, L., & Keil, F. (2002). The misunderstood limits of folk science: an illusion of explanatory depth. Cognitive Science, 26, 521–562. doi: 10.1016/S0364-0213(02)00078-2.CrossRefGoogle Scholar
  52. Schorling, J. B., & Saunders, J. T. (2000). Is “sugar” the same as diabetes? A community-based study among rural African-Americans. Diabetes Care, 23(3), 330–334.CrossRefGoogle Scholar
  53. Schwartz, B. L. (1998). Illusory tip of the tongue states. Memory, 6, 623–642. doi: 10.1080/741943371.CrossRefGoogle Scholar
  54. Schwartz, B. L. (2006). Tip-of-the-tongue states as metacognition. Metacognition and Learning, 1, 149–158. doi: 10.1007/s11409-006-9583-z.CrossRefGoogle Scholar
  55. Schwartz, B. L., & Metcalfe, J. (1992). Cue familiarity but not target retrievability enhances feeling-of-knowing judgements. Learning, Memory and Cognition, 18, 1074–1083. doi: 10.1037//0278-7393.18.5.1074.CrossRefGoogle Scholar
  56. Stadtler, M., & Bromme, R. (2008). Effects of the metacognitive tool met.a.ware on the web search of laypersons. Computers in Human Behavior, 24, 716–737. doi: 10.1016/j.chb.2007.01.023.
  57. Tryk, H. E. (1968). Subjective scaling of word frequency. The American Journal of Psychology, 81, 170–177. doi: 10.2307/1421261.CrossRefGoogle Scholar
  58. Verhoeven, L., & van Leeuwe, J. (2008). Prediction of the development of reading comprehension: a longitudinal study. Applied Cognitive Psychology, 22, 407–423. doi: 10.1002/acp.1414.CrossRefGoogle Scholar
  59. Verspoor, M., & Lowie, W. (2003). Making sense of polysemous words. Language Learning, 53(3), 547–586. doi: 10.1111/1467-9922.00234.CrossRefGoogle Scholar
  60. Wermke, M., Klosa, A., Kunkel-Razum, K., & Scholze-Stubenrecht, W. (2001). Duden—Das Fremdwörterbuch [Dictionary of foreign words]. Mannheim: Brockhaus.Google Scholar
  61. Wermke, M., Kunzel-Razum, K., & Scholze-Stubenrecht, W. (2004). Duden—Die deutsche Rechtschreibung [German-language spelling dictionary]. Mannheim: Brockhaus.Google Scholar
  62. Wilpert, G. (2001). Sachwörterbuch der Literatur [Dictionary of literary terms]. Stuttgart: Alfred Körner Verlag.Google Scholar
  63. Woll, A., Vogl, G., & Weigert, M. (2000). Wirtschaftslexikon [Dictionary of economics] (9th ed.). München: Oldenbourg.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.University of MuensterMuensterGermany
  2. 2.Institute of Psychology in EducationWestfälische Wilhelms-Universität MünsterMuensterGermany

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