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Implicit Language Aptitude

Granena, Gisela·2020

Abstract

It is a well-known fact that some adult second language learners learn more rapidly and/or to a higher level of proficiency than others. Some of these individual differences have been linked to differences in cognitive and perceptual abilities under the umbrella term of 'language aptitude'. The notion of language aptitude has undergone recent developments, one of which is the proposal that language aptitude includes cognitive abilities that involve implicit processes and that are advantageous in learning a language without awareness. This Element defines implicit language aptitude, examines tasks that can be used to measure implicit language aptitude, and provides an overview of relevant research in this area.

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  • In general, reliability of above 0.4 is deemed acceptable for measures of implicit processes.

    “In general, reliability of above 0.4 is deemed acceptable for measures of implicit processes (Grañena, 2020).”

    From The role of individual learner differences in explicit language instruction (2024) · cites this paper as Grañena, 2020

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Research works printed but not linked: 153

  1. 10.1207/S15326985EP3802_4 · DOI · Paper page
  2. Kalra, P . (2015). Implicit learning: Development, individual differences, and educational implications. Unpublished doctoral dissertation. Harvard University.
  3. Siegelman, 2016, Measuring individual differences in statistical learning: Current pitfalls and possible solutions, Behavior Research Methods, 49, 1
  4. 10.1126/science.7146909 · DOI
  5. Squire, 1987, Memory and brain
  6. 10.1111/j.1467-7687.2012.01150.x · DOI
  7. Skehan, 1989, Individual differences in second language learning
  8. 10.1017/S0140525X99002186 · DOI · Paper page
  9. 10.1017/S0142716415000120 · DOI · Paper page
  10. 10.3758/MC.37.2.210 · DOI
  11. 10.1037/0033-295X.99.2.195 · DOI · Paper page
  12. Epstein, 1990, Handbook of personality theory and research, 165
  13. 10.1007/s00221-006-0534-3 · DOI
  14. 10.1037/0033-295X.109.2.401 · DOI
  15. Gebauer, G. F. (2003). Implicit learning and intelligence. Unpublished doctoral dissertation. University of Cambridge.
  16. 10.1016/0010-0285(87)90002-8 · DOI
  17. 10.1111/lang.12138 · DOI · Paper page
  18. 10.1037/0022-3514.76.6.972 · DOI
  19. 10.3758/BF03195310 · DOI
  20. 10.1002/(SICI)1099-0984(200003/04)14:2<157::AID-PER366>3.0.CO;2-L · DOI
  21. 10.1017/S0272263100004022 · DOI · Paper page
  22. Bley-Vroman, 1990, The logical problem of foreign language learning, Linguistic Analysis, 20, 3
  23. 10.1016/S0010-0277(02)00004-5 · DOI · Paper page
  24. Jimenez, 2002, Attention and implicit learning, 43
  25. Cronbach, 1977, Aptitudes and instructional methods: A handbook for research on interactions
  26. 10.1016/0191-8869(92)90236-I · DOI
  27. Fried, 1984, Induction of category distributions: A framework for classification learning, Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 234
  28. 10.1558/isla.33314 · DOI · Paper page
  29. Rebuschat, P . (2008). Implicit learning of natural language syntax. Unpublished doctoral dissertation. University of Cambridge.
  30. Willingham, 1989, On the development of procedural and declarative knowledge, Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 1047
  31. Doughty, 2010, Selected proceedings of the 2008 Second Language Research Forum, 10
  32. 10.1146/annurev.ps.44.020193.002321 · DOI
  33. 10.1126/science.273.5280.1399 · DOI · Paper page
  34. Winter, 1994, Implicit and explicit learning of languages, 115
  35. 10.3758/s13423-012-0298-7 · DOI
  36. Pimsleur, 1966, Pimsleur Language Aptitude Battery (PLAB)
  37. 10.1016/j.brainres.2015.12.008 · DOI
  38. Carroll, 1959, Modern Language Aptitude Test: Form A
  39. 10.1037/0022-3514.93.5.880 · DOI · Paper page
  40. Conway, 2005, Modality-constrained statistical learning of tactile, visual, and auditory sequences, Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 24
  41. 10.1111/j.1467-9922.2012.00712.x · DOI · Paper page
  42. Meara, 2005, LLAMA language aptitude tests
  43. Long, 2014, Second language acquisition and task-based language teaching
  44. Epstein, 2008, Intuition in judgment and decision making, 23
  45. 10.1207/s15516709cog1601_2 · DOI
  46. Stansfield, 2008, Encyclopedia of language and education: Language testing and assessment, 81
  47. Chomsky, 1965, Aspects of the theory of syntax
  48. Gebauer, 2007, Psychometric intelligence dissociates implicit and explicit learning, Journal of Experimental Psychology, 33, 34
  49. Cronbach, 1970, Essentials of psychological testing
  50. 10.1016/j.cognition.2010.05.011 · DOI · Paper page
  51. 10.1037/0022-006X.59.2.205 · DOI
  52. 10.1002/9781444315783 · DOI
  53. 10.1111/lang.12241 · DOI
  54. 10.1017/S0272263105050126 · DOI
  55. 10.1093/arclin/17.5.445 · DOI
  56. Dienes, 1995, Unconscious knowledge of artificial grammars is applied strategically, Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 1322
  57. 10.1177/001316447603600216 · DOI
  58. 10.1017/S0272263115000455 · DOI
  59. Evans, 1996, Rationality and reasoning
  60. 10.1037/0096-3445.113.4.541 · DOI
  61. 10.1016/j.jml.2006.07.008 · DOI
  62. 10.1006/jmla.2002.2864 · DOI · Paper page
  63. Schacter, 1986, Effects of elaborative processing on implicit and explicit memory for new associations, Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 432
  64. Reber, 1993, Implicit learning and tacit knowledge: An essay on the cognitive unconscious
  65. Reber, 1991, Implicit and explicit learning: Individual differences and IQ, Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 888
  66. 10.1037/0003-066X.49.8.709 · DOI · Paper page
  67. 10.3758/BF03343216 · DOI
  68. 10.1017/S0272263105050084 · DOI
  69. 10.1017/S0140525X00003435 · DOI
  70. Shallice, 1982, Specific impairments of planning, Philosophical Transactions of the Royal Society of London, 298, 199
  71. Myers, 1998, Manual: A guide to the development and use of the Myers–Briggs Type Indicator
  72. Chan, C . (1992). Implicit cognitive processes: Theoretical issues and applications in computer systems design. Unpublished doctoral dissertation. University of Oxford.
  73. Schacter, 1987, Implicit memory: History and current status, Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 501
  74. 10.1075/lllt.35.04gra · DOI
  75. 10.1016/j.cognition.2018.04.011 · DOI
  76. 10.1016/j.lindif.2015.10.003 · DOI · Paper page
  77. 10.1111/lang.12018 · DOI
  78. 10.1080/17470218.2010.538972 · DOI
  79. 10.1080/741944066 · DOI
  80. 10.3758/BF03196127 · DOI
  81. 10.1075/aicr.20.11reb · DOI
  82. 10.1073/pnas.0602659103 · DOI
  83. McGeorge, 1997, The relationships between psychometric intelligence and learning in an explicit and an implicit task, Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 239
  84. 10.3758/s13423-013-0458-4 · DOI
  85. 10.1016/S0165-0173(03)00204-2 · DOI
  86. 10.1016/j.jml.2015.02.001 · DOI
  87. 10.1017/S0272263199001011 · DOI
  88. 10.1037/h0025760 · DOI
  89. 10.1162/089892903321662958 · DOI
  90. 10.1016/j.jml.2015.04.004 · DOI
  91. 10.1016/j.cognition.2009.10.009 · DOI
  92. 10.1017/S0272263115000108 · DOI
  93. Woltz, 1990, Repetition of semantic comparisons: Temporary and persistent priming effects, Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 392
  94. 10.1017/S0272263105050138 · DOI
  95. 10.1037/a0013327 · DOI
  96. Shanks, 1999, Evaluating the relationship between explicit and implicit knowledge in a serial reaction time task, Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 1435
  97. 10.1016/1041-6080(90)90024-B · DOI
  98. 10.1016/S0022-5371(67)80149-X · DOI · Paper page
  99. 10.1037/0096-3445.118.3.219 · DOI · Paper page
  100. 10.1017/9781108641395 · DOI
  101. 10.1037/0096-3445.134.4.552 · DOI
  102. 10.3758/BF03202793 · DOI
  103. 10.1177/0956797612472207 · DOI
  104. 10.1037/0033-295X.94.2.192 · DOI
  105. Berry, 1993, Implicit learning: Theoretical and empirical issues
  106. 10.1111/lang.12011 · DOI
  107. 10.1093/brain/111.4.941 · DOI
  108. 10.1016/j.cognition.2019.05.007 · DOI
  109. 10.1037/0033-2909.115.2.163 · DOI
  110. 10.1016/0010-0285(75)90012-2 · DOI
  111. Kim, K ., & Godfroid, A . (2019). Individual differences in cognitive aptitudes and implicit-explicit knowledge: An SEM approach. Paper presented at the American Association of Applied Linguistics annual conference, Atlanta, GA.
  112. 10.1017/S1355617703930050 · DOI
  113. 10.1037/0096-3445.110.3.306 · DOI
  114. 10.4324/9781315165080-30 · DOI
  115. Knowlton, 1994, Probabilistic classification in amnesia, Learning and Memory, 1, 106, 10.1101/lm.1.2.106 · DOI
  116. 10.1016/0160-2896(95)90007-1 · DOI
  117. 10.1016/B978-0-12-809324-5.21085-7 · DOI
  118. Reed, 1994, Assessing implicit learning with indirect tests: Determining what is learned about sequence structure, Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 585
  119. 10.1075/arcl.7.05ell · DOI
  120. 10.4324/9781315628905 · DOI
  121. 10.1101/lm.45202 · DOI
  122. 10.3758/BF03196171 · DOI
  123. Rebuschat, 2006, Proceedings of the annual meeting of the Cognitive Science Society, 2594
  124. 10.1017/S0272263118000256 · DOI
  125. 10.1111/lang.12204 · DOI
  126. 10.1016/j.neuropsychologia.2013.06.001 · DOI
  127. Meisel, 2009, Second language acquisition in early childhood, Zeitschrift für Sprachwissenschaft, 28, 5, 10.1515/ZFSW.2009.002 · DOI
  128. Carroll, 1981, Individual differences and universals in language learning aptitude, 83
  129. 10.1017/CBO9780511497667.014 · DOI · Paper page
  130. 10.1016/S0010-0285(03)00128-2 · DOI
  131. 10.1016/j.lindif.2009.12.003 · DOI
  132. Rebuschat, 2009, Proceedings of the 31th annual conference of the Cognitive Science Society, 425
  133. Carroll, 1962, Training research and education, 87
  134. 10.1080/00221309.1958.9710168 · DOI
  135. Granena, Implicit Language Aptitude, 10.1017/9781108625616
  136. 10.1111/lang.12319 · DOI
  137. 10.3389/fpsyg.2018.00323 · DOI
  138. Maie, R . (2019). Demystifying the complexity of individual differences under incidental conditions: A conceptual replication and extension. Paper presented at the American Association of Applied Linguistics annual conference, Atlanta, GA.
  139. Bertels, 2012, How implicit is visual statistical learning?, Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 1425
  140. 10.1016/0010-0277(80)90015-3 · DOI
  141. 10.1016/S1364-6613(98)01232-7 · DOI
  142. 10.1017/S1366728912000715 · DOI
  143. 10.1037/h0027454 · DOI
  144. DeKeyser, 2007, Theories in second language acquisition: An introduction, 97
  145. DeKeyser, 2011, Handbook of research in second language teaching and learning, 395
  146. 10.1037/10315-006 · DOI
  147. 10.1037/0882-7974.12.4.634 · DOI · Paper page
  148. 10.1027/1618-3169/a000295 · DOI
  149. 10.1126/science.1896849 · DOI · Paper page
  150. 10.1111/0023-8333.21997002 · DOI
  151. 10.1027/1015-5759.25.1.39 · DOI
  152. Hoyer, 1998, Handbook of implicit learning, 445
  153. 10.1111/j.1467-9922.2010.00626.x · DOI

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Authors
Granena, G.
Published
2020-08-06
Cited by
27
References
8

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