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Dr. Simon Phipps
dr.simon.phipps@gmail.com

Session 11-12:
Cognitive Processes of L2 Learning
1. Introduction & feedback from yesterday
2. Psycholinguistic Processes of L2 Learning
3. Working Memory and Long-Term Memory
4. Implications for teaching and learning
PSYCHOLINGUISTIC PROCESSES OF
LEARNING
Human beings are limited in their capacity to consciously
attend to more than one task at a time
Memory
speed

Memory is unlimited
Processing capacity is limited
we cannot attend to all language
 some language is automatic






otherwise we could not operate in real time
fluency = when language becomes automatic
= we know which word is going to come next
PSYCHOLINGUISTIC PROCESSES OF
LEARNING

Dual-coding system
Rule based system

R
E

Rules


Most language we use is not new




Exemplar-based system
Examples of language
• Individual words
• Chunks of language

we use rules only when we need to, as most language we use is automatic

Working memory vs LTM
the more we use language, the more automatic it becomes
 the more automatic it becomes, the less we need to consciously think of
rules




L2 learners typically need the rule system more;
 because they don’t have enough exemplars stored
 so, they are less fluent

from Skehan, P. (1998). A Cognitive Approach to Language Learning. Cambridge: OUP.
PSYCHOLINGUISTIC PROCESSES OF
LEARNING
Stages of processing;
Input processing
Central processing
Output processing

noticing
restructuring
proceduralisation
INPUT PROCESSING MODEL FOR LANGUAGE
more
input

input

lost
input processing

noticing

noticing
the gap

renoticing

central processing

intake

restructuring
forgotten
recall &
rehearsal

output processing

use

proceduralisation
INPUT PROCESSING 1
Importance of attention
Noticing
(Schmidt)
 frequency
 importance
 instruction
 processing ability
 readiness to notice
 task demands
Implicit vs Explicit Learning
 noticing by the learner
 noticing for the learner
Consciousness
 attention
 awareness
 control
INPUT PROCESSING 2
Noticing is influenced by;
 - input
- existing knowledge systems
 - processing capacities


Meaning takes precedence over form





can only attend to form if resources are free
how to notice unstressed grammar? (articles, prepositions,
auxiliaries)
can notice from own output

Conscious noticing vs unconscious noticing




we sometimes recall language we do not remember learning
analytic learners may be good at noticing input
memory-oriented learners may need lots of exemplars
Psycholinguistic processes in language use & language learning

Input qualities
• frequency
• importance
• focused input

Learner qualities
• Readiness
• Proc. ability

Working
memory
noticing

output

Task demands
Task demands

Long term
memory

Adapted from Skehan, P. (1998). A Cognitive Approach to Language Learning. Oxford: OUP. p52
CENTRAL PROCESSING
Sleep, REM, Dreams and Restructuring
Dual coding system


Rule-based/Exemplar-based

Construct rules by
 consciously noticing
 unconsciously analysing exemplars, then restructuring

L2 network involves;
 UG? (if still available)
 Restructuring (McLaughlin)
 reorganising

Interlanguage, reforming hypotheses

 Accumulation

of chunks

Interaction of WM and LTM
LTM

Working memory
Language processing
• comprehension
• production

Input qualities

Consciousness ?

Teacher
guidance
noticing

Long term memory
Rule-based system

Task demands

Exemplar-based system
Schematic knowledge

Readiness
Adapted from Skehan, P. (1998). A Cognitive Approach to Language Learning. Oxford: OUP.
p57
OUTPUT PROCESSING
Declarative knowledge

Procedural knowledge?

Proceduralisation


automatic use of language in real time

3 explanations for proceduralisation;
Routinisation
 Restructuring
 Instance-based approach


(Anderson)
(McLaughlin)
(Skehan, Schmidt)

Competition for available resources between;
accuracy
fluency
complexity

accuracy

fluency

complexity

(Skehan)
IMPLICATIONS FOR TEACHING AND
LEARNING
Not enough resources to process all input
 meaning is prioritised over form
Therefore need to engineer form-focus
 help noticing
 manipulate input
 help restructuring
 consciousness-raising
 help proceduralisation
 planning time
 activate schemata

rules

exemplars

Aptitude

phonemic coding ability
language analytic ability
memory

input
central
output

Learners need to create a network with lots of connections
which can be accessed as automatically as possible

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CTS-Academic: Module 2 session 9 cognitive processes

  • 1. Dr. Simon Phipps dr.simon.phipps@gmail.com Session 11-12: Cognitive Processes of L2 Learning 1. Introduction & feedback from yesterday 2. Psycholinguistic Processes of L2 Learning 3. Working Memory and Long-Term Memory 4. Implications for teaching and learning
  • 2. PSYCHOLINGUISTIC PROCESSES OF LEARNING Human beings are limited in their capacity to consciously attend to more than one task at a time Memory speed Memory is unlimited Processing capacity is limited we cannot attend to all language  some language is automatic     otherwise we could not operate in real time fluency = when language becomes automatic = we know which word is going to come next
  • 3. PSYCHOLINGUISTIC PROCESSES OF LEARNING Dual-coding system Rule based system R E Rules  Most language we use is not new   Exemplar-based system Examples of language • Individual words • Chunks of language we use rules only when we need to, as most language we use is automatic Working memory vs LTM the more we use language, the more automatic it becomes  the more automatic it becomes, the less we need to consciously think of rules   L2 learners typically need the rule system more;  because they don’t have enough exemplars stored  so, they are less fluent from Skehan, P. (1998). A Cognitive Approach to Language Learning. Cambridge: OUP.
  • 4. PSYCHOLINGUISTIC PROCESSES OF LEARNING Stages of processing; Input processing Central processing Output processing noticing restructuring proceduralisation
  • 5. INPUT PROCESSING MODEL FOR LANGUAGE more input input lost input processing noticing noticing the gap renoticing central processing intake restructuring forgotten recall & rehearsal output processing use proceduralisation
  • 6. INPUT PROCESSING 1 Importance of attention Noticing (Schmidt)  frequency  importance  instruction  processing ability  readiness to notice  task demands Implicit vs Explicit Learning  noticing by the learner  noticing for the learner Consciousness  attention  awareness  control
  • 7. INPUT PROCESSING 2 Noticing is influenced by;  - input - existing knowledge systems  - processing capacities  Meaning takes precedence over form    can only attend to form if resources are free how to notice unstressed grammar? (articles, prepositions, auxiliaries) can notice from own output Conscious noticing vs unconscious noticing    we sometimes recall language we do not remember learning analytic learners may be good at noticing input memory-oriented learners may need lots of exemplars
  • 8. Psycholinguistic processes in language use & language learning Input qualities • frequency • importance • focused input Learner qualities • Readiness • Proc. ability Working memory noticing output Task demands Task demands Long term memory Adapted from Skehan, P. (1998). A Cognitive Approach to Language Learning. Oxford: OUP. p52
  • 9. CENTRAL PROCESSING Sleep, REM, Dreams and Restructuring Dual coding system  Rule-based/Exemplar-based Construct rules by  consciously noticing  unconsciously analysing exemplars, then restructuring L2 network involves;  UG? (if still available)  Restructuring (McLaughlin)  reorganising Interlanguage, reforming hypotheses  Accumulation of chunks Interaction of WM and LTM
  • 10. LTM Working memory Language processing • comprehension • production Input qualities Consciousness ? Teacher guidance noticing Long term memory Rule-based system Task demands Exemplar-based system Schematic knowledge Readiness Adapted from Skehan, P. (1998). A Cognitive Approach to Language Learning. Oxford: OUP. p57
  • 11. OUTPUT PROCESSING Declarative knowledge Procedural knowledge? Proceduralisation  automatic use of language in real time 3 explanations for proceduralisation; Routinisation  Restructuring  Instance-based approach  (Anderson) (McLaughlin) (Skehan, Schmidt) Competition for available resources between; accuracy fluency complexity accuracy fluency complexity (Skehan)
  • 12. IMPLICATIONS FOR TEACHING AND LEARNING Not enough resources to process all input  meaning is prioritised over form Therefore need to engineer form-focus  help noticing  manipulate input  help restructuring  consciousness-raising  help proceduralisation  planning time  activate schemata rules exemplars Aptitude phonemic coding ability language analytic ability memory input central output Learners need to create a network with lots of connections which can be accessed as automatically as possible