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Cognitive Aptitudes for Implicit and Explicit
Learning
Gisela Granena
Universitat Oberta Catalunya
Yucel Yilmaz
Indiana University
1
Conceptualizing language aptitude: Past and Present
Applying aptitude to explain variation in: Ultimate attainment (i.e., ceiling)
Outcomes under different instructional interventions (i.e., rate)
Future research and applications
2
How do individuals differ in learning languages?
Affective (e.g., motivation, personality)
Experiential (e.g., language experience)
Biological (e.g., age)
Cognitive (e.g., language aptitude)
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“Special talent” for language; “language flair”; “knack” for languages
No unitary construct of aptitude: Not one indivisible ‘thing’ but many ‘things’ (componential)
We should speak of cognitive aptitudeS for language learning: Cognitive and perceptual abilities that predispose individuals to learn well or rapidly
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J. B. Carroll as the dominating figure (50’s and 60’s)
Carroll’s assumptions about aptitude: Componential
Independent of intelligence True for some aptitudes (Woltz, 1990, 1999)
Not true for other aptitudes
Intelligence Working Memory (Engle et al., 1999; Kyllonen, 1996; Kyllonen & Christal, 1990)
Intelligence LLAMA tests B, E, F (Granena, 2012)
Innate and stable Some aptitudes are trainable (Jaeggi et al., 2010, 2011) or impacted by
experience (Papagno & Vallar, 1995; Grigorenko et al., 2000)
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Carroll’s model and the MLAT (Carroll & Sapon, 1959) ◦ Phonetic Coding: Ability to form associations between
sounds-symbols = Auditory ability
◦ Rote Learning: Conscious storage of information in LTM by repetition = Memory ability
◦ Grammatical Sensitivity: Ability to
recognize grammatical functions
◦ Inductive Learning: Ability to infer
(notice and identify) patterns or rules
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= Language
analytic ability (Skehan, 1989)
• Weighted in favor of explicit cognitive processes
Conscious reflection on language forms, time to think and analyze, and memorize Designed to predict rate under intensive conditions
(audiolingualism)
• Advances in understanding how languages are learned and in teaching methodology (Long & Doughty, 2009) Study of language as object vs. experiential approaches
• Advances in the understanding of human memory systems (e.g., Baddeley & Hitch’s WM model in 1974)
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• New aptitude constructs
Implicit learning and memory processes as abilities (Woltz, 2003) (e.g., primability, SRT anticipations)
Learning “in the absence of
1) conscious intention to learn
2) conscious awareness of the fact that we are learning
3) conscious attribution of any noticed change to the effects of learning” (Jiménez, 2002: 62)
Meaningful individual differences do exist (Kaufman et al., 2010; Reber & Allen, 2000) vs. Reber (1989)
Carroll and Maxwell’s (1979) “budding but fitful and hesitant courtship between psychometrics and experimental cognitive psychology” (p. 604)
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• Doughty et al.’s (2010) Hi-LAB (High Level Language Aptitude Battery) Active Memory and Processing (WM, STM, Task Switching,
Processing Speed)
Foreign Sounds (Learning/Distinguishing foreign sounds)
Implicit Learning (Priming, SRT Anticipations)
Explicit Learning (Explicit Induction, Rote Memory)
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• Granena (2012; 2013a) Explicit Language Aptitude: Relevant for explicit language
learning and processing (intentionally) through reasoning and deliberate hypothesis testing LLAMA B, E and F in the LLAMA aptitude test
GAMA (intelligence)
Implicit Language Aptitude: Relevant to acquire patterns in input without awareness of the rules (implicit induction) LLAMA D
Probabilistic Serial Reaction Time Task
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Include study time (offline measures) Involve working out relations (problem-solving)
Allow strategy use
No study phase
Involve online processing Minimal demands on executive functions
• GAMA (explicit aptitude): Matching, Analogies, Sequences, Construction
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• Probabilistic SRT Task (implicit aptitude)
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______
______
______
______ * * * *
Learning success ◦ Speed of language acquisition (rate)
◦ Variation in ultimate attainment (ceiling)
The nature of the learning process ◦ In different learner populations (e.g., child vs. adult learners;
DeKeyser, 2000)
◦ Under different instructed conditions (e.g., Feedback types, task
conditions, types of instruction): ATI research (Erlam, 2005; Sheen, 2007)
Example: Language analytical ability will play a role in a teaching method that makes learners figure out rules by themselves
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Cognitive aptitudes and ultimate
attainment in informal contexts
Explicit Aptitudes
Granena (2012)
Implicit Aptitudes
Granena (2012)
Cognitive aptitudes and rate in formal
contexts
Explicit Aptitudes
Yilmaz & Granena (submitted)
Implicit Aptitudes
?
Abrahamsson & Hyltenstam (2008), DeKeyser (2000), DeKeyser et al. (2010) Aptitude measures were weighted heavily in favor of
explicit cognitive processes (i.e., language analysis)
L2 attainment measures allowed time to reflect on language correctness (untimed GJTs)
15
Some positive association between the two sets of scores is to be expected because they are tapping into the same metalinguistic abilities (Long 2007:73)
Evidence from aptitude and L2 measures that are less similar would be more robust!!
Chinese L1-Spanish L2 learners in a naturalistic learning context (long-term residents in Spain) 50 child L2 learners (AOs 3-6)
50 adult L2 learners (AOs > 16)
20 NS controls
Explicit language aptitude (LLAMA B, E, F, and intelligence) and implicit language aptitude (LLAMA D and SRT task)
Agreement structures and non-agreement structures
L2 measures requiring more or less automatic use of language knowledge
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Results for both early and late learners, not NSs
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+ controlled + automatic
Metalinguistic Knowledge
Test
Untimed GJTs Timed GJTs Word
Monitoring Task
Explicit Language Aptitude Implicit Language Aptitude
(agreement structures)
Summary Differences in cognitive aptitudes explain variation in
ultimate attainment in both early and late learners
However, the effects of aptitude differ depending on: 1) Type of L2 measure
Explicit aptitude: L2 measures that focus on language correctness + controlled use of knowledge (also in Granena, 2013b)
Implicit aptitude: Meaning-based measures + automatic use of knowledge
2) Target structure (salient vs. non-salient)
No relationship in NSs (typically at ceiling or highly homogenous)
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Differences in cognitive aptitudes may moderate the effectiveness of different types of instruction
ATI research ◦ Types
A. Intentionally matching learners to treatment condition (aptitude is measured prior to the experiment)
1. Collect aptitude data on participants
2. Identify aptitude subgroups (e.g., analytic vs. memory)
3. Randomly assign from each subgroup into treatment groups
4. Assess effectiveness of treatments
B. Including aptitude as a moderator variable (aptitude is measured at the time of the experiment) (e.g., Erlam, 2005; Sheen, 2007)
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Pretest/Posttest/Delayed Posttest design (N = 80) Explicit language aptitude (LLAMA subtests B/E/F) Different feedback groups that were comparable in
aptitude: 1) Explicit Feedback (n =16): Direct correction
2) Implicit Feedback (n = 16): Recasts
3) Mixed Feedback (n = 16): Explicit feedback in first two obligatory contexts and implicit feedback in the rest
4) Reduced Explicit Feedback (n = 16): Explicit feedback in first two obligatory contexts
5) No Feedback (n = 16)
Oral production as outcome measure Use of the indefinite article by Turkish EFL learners
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Results
In terms of the effectiveness of feedback… In the immediate posttest All the feedback groups > No Feedback group
Explicit and Mixed > Implicit and Reduced Explicit
Explicit = Mixed
Implicit = Reduced Explicit
In the delayed posttest (2 months) All the feedback groups > No Feedback group
No differences among feedback groups
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Results
In terms of the effects of explicit language aptitude… The impact of aptitude on learning outcomes
depended on feedback group (significant interaction)
Aptitude explained 43% of the variance in immediate posttest scores in the Explicit Feedback group (r = .66*) (and between 0% and 8% in the other groups)
No significant relationship between aptitude and delayed posttest scores
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Conclusions Certain types of instruction do match L2 learners’ cognitive
abilities better
Explicit feedback seems to require a mental process that is facilitated/hampered by the value of aptitude for explicit learning It may have put pressure on the learners to focus attention on
language structure, search for rules and formulate/test hypotheses
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Pedagogical implications Vatz, Tare, Jackson, & Doughty (To appear)
An instructional treatment may level the playing field and yield superior results regardless of aptitude
Aptitude may play a role within a treatment, but this treatment may be still as good, or better, than other options, even for the lower-aptitude learners
Two treatments may be equally effective but aptitude plays a role only in one of them Favor the type of instruction that produces similar outcomes without
benefitting subgroups (unless students can be matched to instruction)
Explicit Feedback = Mixed Feedback
[+ aptitude] [- aptitude]
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What are aptitude profiles? ◦ IDs are not simply continuous but “learner types”
(patterns of aptitude) can be identified (Skehan, 1986; 1989;
1991; Pimsleur et al., 1966)
Analytically vs. memory-oriented learners (Skehan, 1986)
◦ Aptitude components are relatively independent
◦ We can apply this idea to explicit and implicit aptitude, since they are not correlated (Granena, 2012):
High Explicit, Low Implicit
Low Explicit, High Implicit
High Explicit, High Implicit
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Research design: A proposal (Yilmaz & Granena, In preparation)
◦ ILA (Implicit Language Aptitude)
◦ ELA (Explicit Language Aptitude)
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High ELA – Low ILA
✗
Explicit Feedback
(Gender)
Recasts
(Number)
Low ELA – High ILA
✗
Explicit Feedback
(Gender)
Recasts
(Number)
High ELA – High ILA
Explicit Feedback
(Gender)
Recasts
(Number)
Other instructional interventions (triangulation) ◦ Methods of instruction –e.g., rule explanation vs. input flood
◦ Task design features –e.g., high vs. low cognitive demands of tasks
The role of aptitude in NSs (children and adults)
Aptitudes x target structures
Online learning and technology to investigate aptitude profiles
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National Science Foundation (NSF) ◦ Dissertation Award # 1124126
Age Differences and Cognitive Aptitudes in Ultimate Second Language Attainment
Language Learning Dissertation Grant
29
Carroll, J. B., & Maxwell, S. E. (1979). Individual differences in cognitive abilities. Annual Review of Psychology, 30, 603–640.
DeKeyser, R. M. (2000). The robustness of critical period effects in second language acquisition. Studies in Second Language Acquisition, 22, 499–533.
Granena, G. (2012). Age differences and cognitive aptitudes for implicit and explicit learning in ultimate L2 attainment. Unpublished doctoral dissertation. University of Maryland.
Jiménez, L. (2002). Attention in probabilistic sequence learning. In Jiménez, L. (ed.), Attention and implicit learning (pp. 43–67). Amsterdam: John Benjamins.
Kaufman, S. B., DeYoung, C. G., Gray, J. R., Jimenez, L., Brown, J., & Mackintosh, N. (2010). Implicit learning as an ability. Cognition, 116, 321–340.
Skehan, P. (1989). The relationship between native and foreign language learning ability: Educational and linguistic factors. In H. Dechert (Ed.), Current trends in European second language acquisition research (pp. 83–106). Clevedon: Multilingual Matters.
Skehan, P. (2002). Theorizing and updating aptitude. In P. Robinson (Ed.), Individual differences and instructed language learning (pp. 69–93). Amsterdam: Benjamins.
Vatz, K., Tare, M., Jackson, S. R., & Doughty, C. J. (in press). Aptitude-treatment interaction studies in second language acquisition: Findings and methodology. In Granena, G., & Long, M. H. (Eds.), Sensitive periods, language aptitude, and ultimate L2 attainment. Amsterdam: John Benjamins.
Yilmaz, Y., & Granena, G. (Submitted). The Role of Explicit Language Aptitude on The Relative Effects of Explicit, Implicit and Mixed Feedback.
30
THANK YOU!!
QUESTIONS, COMMENTS, SUGGESTIONS?
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Abrahamsson, N., & Hyltenstam, K. (2008). The robustness of aptitude effects in near-native second language acquisition. Studies in Second Language Acquisition, 30, 481–509.
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DeKeyser, R. M. (2000). The robustness of critical period effects in second language acquisition. Studies in Second Language Acquisition, 22, 499–533.
DeKeyser, R. M., Alfi-Shabtay, I., & Ravid, D. (2010). Cross-linguistic evidence for the nature of age-effects in second language acquisition. Applied Psycholinguistics, 31, 413–438.
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32
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