
Implicit and Explicit Learning of Languages
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- Implicit and Explicit Learning of Languages
- Editorial page
- Title page
- LCC data
- Table of contents
- Foreword
- List of contributors
- Introduction
- This volume: Three approaches, one phenomenon
- Acknowledgements
- References
- Implicit AND explicit language learning
- Introduction
- The units of language acquisition
- Implicit language learning
- The limits of implicit language learning
- Explicit language learning
- Implicit AND explicit language learning
- The neurobiology of language learning
- Synchronic language usage
- Diachronic language change
- Language as a complex dynamic system
- References
- Explaining phenomena of first and second language acquisition with the contructs of implicit and explicit learning
- Introduction
- Monitor theory
- What needs to be explained?
- Six matters to take into account
- The pitfalls of a two-system theory
- The interface issue in L2 acquisition
- Explaining some fundamental issues in L1 and L2 acquisition and use
- Conclusions
- Acknowledgements
- References
- Implicit learning in SLA
- Introduction
- Theoretical underpinnings of the learning process in SLA
- Defining implicit learning in SLA
- Cognitive psychology
- SLA/cognitive science
- Conflation of implicit learning and incidental learning
- Operationalizing (un)awareness in SLA
- Measuring learning in SLA
- Empirical studies investigating the construct (un)awareness in SLA
- Support for Learning without Awareness
- No support for learning without awareness
- Summary of empirical studies investigating the construct (un)awareness in SLA
- Methodological criteria for operationalizing and measuring unawareness
- Conclusion
- References
- Semantic implicit learning
- Semantic implicit learning in non-language learning domains
- Abstract sequences
- Connecting novel stimuli and concepts
- Semantic implicit learning in language acquisition
- Grammatical form-meaning connections
- Implicit learning of semantic preferences
- Emerging issues in semantic implicit learning of language
- Awareness of form and meaning in learning form-meaning connections
- Learning new form-meaning connections versus tuning
- Constraints on semantic implicit learning
- Conclusion
- References
- What does current generative theory have to say about
- Some definitions and distinctions
- Mental representation and skill are different
- Mental representation does not entail "rules" in the classic sense
- How does mental representation develop?
- Explicit and implicit learning
- Aspects of language that cannot be learned
- Aspects of languages that are derived, not learned
- Aspects of language that are learned
- Quick summary
- What does all of this mean for the explicit-implicit learning debate?
- Candidates for explicit learning
- Conclusion
- References
- Explicit knowledge about language in L2 learning: A usage-based perspective
- Introduction
- Explicit and implicit knowledge and learning
- L2 learning from the perspective of complexity theory and emergentism
- L2 learning from a cognitive linguistics perspective
- Measuring explicit knowledge
- The benefits and limitations of explicit knowledge: Heeding the usage-based agenda
- Conclusion
- References
- The learnability of language
- The debate on language learnability: A selective summary
- The nativist position
- Challenging views
- The Bayesian approach
- Usage-based/emergentist approaches
- The implicit learning literature: A few key points and their implications
- No implicit rule abstraction
- The primacy of statistics: Implications for the lack of negative evidence
- From transitional probabilities to chunk formation
- Beyond surface features
- The role of attention
- Attention is a necessary and sufficient condition for implicit learning
- Implications for the combinatorial explosion
- Implications for learning nonadjacent dependencies
- All-purpose mechanisms
- About learning failures: Is there an arbitrary/natural gap, after all?
- Conclusion
- Summary and research agenda
- Is nativism definitely outdated?
- References
- Tracking multiple inputs
- Language discrimination: A precursor for multiple representations
- Statistical learning
- Assimilation or accommodation?
- The role of context
- Beyond speech segmentation
- Monitoring the consistency of the input
- The influence of bilingualism on statistical learning
- Phonetic discrimination
- Conclusions
- Acknowledgments
- References
- Implicit statistical learning and language acquisition
- Introduction
- Implicit statistical learning and prediction in language
- Modality constraints on implicit statistical learning
- Developmental constraints on implicit statistical learning
- Discussion
- References
- Implicit learning of non-adjacent dependencies
- The problem of detecting nonadjacent dependencies in sequential patterns
- Candidate measures of associative learning
- Simulation 1: Simple recurrent networks
- Method
- Network architecture and parameters
- Materials
- Procedure
- Network analysis
- Results and discussion
- Can other connectionist architectures capture the data?
- Simulation 2a: Auto-associative recurrent networks
- Method
- Simulation 2b: Jordan networks
- Method
- Simulation 2c: Buffer networks
- Method
- Simulation 2d: Auto-associator networks
- Method
- Results
- Mechanisms of implicit learning in the SRN
- Type variability or token frequency?
- Conclusions
- Acknowledgments
- References
- Appendix A. Measures of associative learning
- Artificial grammar learning
- Introduction
- The artificial grammar learning paradigm
- Structural knowledge in AGL tasks
- Forms of knowledge
- Rules
- Exemplars
- Chunks
- Neural networks
- Information theory/complexity measures
- Measuring the impact of rules, similarity, or chunk overlap
- Neuroscience evidence for differences in structural knowledge
- Summary
- The issue of conscious awareness
- Implicit vs. explicit knowledge of rules
- Implicit vs. explicit knowledge of exemplars
- Implicit vs. explicit knowledge of chunks
- Implicit vs. explicit knowledge relevant to neural networks and complexity approaches
- Measuring implicit learning
- Subjective vs. objective measures
- The process dissociation procedure
- Secondary tasks and implicit vs. explicit AGL
- Neuroscience evidence for implicit vs. explicit AGL
- Summary
- Conclusions
- References
- Challenges in implicit learning research
- Introduction
- Artificial language research and SLA
- Motivation and research questions
- Experiment 1
- Methods
- Stimulus material
- Results
- Discussion
- Experiment 2
- Methods
- Results
- Discussion
- Experiment 3
- Methods
- Results
- Discussion
- General discussion and conclusion
- References
- Appendix A
- Appendix B
- Effects of conditions on L2 development
- Introduction
- Alternatives to accuracy: ERPs and latency measures
- Latency
- Automaticity
- L2 learning and development
- Conclusion
- References
- Investigating implicit and explicit processing using L2 learners' eye-movement data
- The nature of eye-movement recordings
- L1 eye-movement studies
- Implicit and explicit learning processes in SLA
- SLA eye-movement studies and implicit/explicit learning
- Conclusion
- References
- Contributions of event-related potential research to issues in explicit and implicit second language acquisition
- Event-related potentials
- ERP components in L1
- The N400
- The AN
- The P600
- ERP components in L2
- Making connections between ERP research and explicit/implicit issues in SLA
- L2 ERP studies of artificial and miniature languages by training type
- L2 ERP studies of natural language by exposure type
- Discussion and conclusion
- References
- Implicit learning of a L2 morphosyntactic rule, and its relevance for language teaching
- Empirical studies of implicit learning
- The study
- Research design
- Hypotheses
- Method
- Participants
- Target structures: Semi-artificial language
- Grammaticality Judgment Task (GJT)
- Measuring awareness: Guessing criterion, zero correlation criterion, verbal reports
- Operation span
- Procedure
- Assessments tasks
- Results
- Confidence and source ratings
- Verbal reports
- Working memory
- Discussion
- Implications for language teaching
- References
- Form-focused instruction and the measurement of implicit and explicit L2 knowledge
- Introduction
- Defining implicit and explicit L2 knowledge and learning
- Methods for measuring implicit and explicit L2 knowledge
- Methods used in cognitive psychology
- Methods used in neuropsychological studies
- Methods used in FFI studies
- Designing tests of implicit and explicit knowledge
- The marsden project (Ellis, 2005
- Ellis et al. 2009)
- Bowles' (2011) study
- Zhang's (2011) study
- Some conclusions
- Measuring learning in FFI studies
- Conclusion
- References
- Implicit and explicit instruction in L2 learning
- Introduction
- Present meta-analysis
- Method
- Literature search
- Inclusion and exclusion criteria
- Coding
- Effect sizes
- Comparisons of effect sizes
- Results
- Research publications
- Design characteristics
- Learner characteristics
- Quantitative meta-analysis
- Research setting (experimental vs. quasi-experimental)
- Mode of instruction (oral vs. written vs. combined)
- Type of study (feedback vs. nonfeedback vs. combined)
- Learning context (FL vs. SL)
- Target type (grammatical vs. lexical vs. pragmatic)
- Type of dependent variable measure (metalinguistic judgment vs. selected response vs. constrained constructed response vs. free constructed response vs. combined)
- Discussion
- RQ 1: How effective is L2 instruction overall?
- RQ 2: Is there any difference between explicit and implicit treatments in their overall efficacy on L2 learning?
- RQ 3: To what extent do potential moderator variables mediate the effectiveness of implicit and/or explicit treatments?
- Conclusion
- References
- Appendix A
- Appendix B
- Index
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