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Optimal Psycholinguistic Environments for DFLL

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Learn the 'nitty gritty' as 'chunks' Tendency of adult learners: Attend ... Difficulty recognizing the 'nitty gritty' Teachers develop corpora relevant to tasks ... – PowerPoint PPT presentation

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Title: Optimal Psycholinguistic Environments for DFLL


1
Optimal Psycholinguistic Environments for DFLL
  • Presented by Edna and Tommy

2
Introduction
  • The role of methodological principles in the
    design of optimal L2 learning environments
  • Special attention to use of technology to realize
    the MPs
  • Rational for each principle
  • How each principle informs choices among the
    technological options in DL

3
Background
  • The components of TBLT
  • Careful planning
  • Clear distinction between CALL and DL
  • Integration of CALL does not sacrifice teachers
    observation of students and tasks
  • DL is remote and primarily asynchronous
  • DL program design must compensate for
    asynchronicity of communication

4
MPs vs. Pedagogic Procedures
  • Methodological principles
  • TBLT evolves from a combination of interactional
    cognitive SLA theories
  • TBLT is not SLA theory
  • Theories are to make teaching efficient
  • 10 MPs currently
  • Based on long traditions and work

5
MPs vs. PPs
  • Pedagogic Procedures
  • Choice among PPs
  • Different PPs for different learners

6
The distance learning context
  • FLL succeeds without technology support
  • Design principles underlie successful learning
  • Consider which technology is appropriate in DL
    how MPs can be integrated

7
TBLT for LCTLs
  • Existing Resources
  • Examples of TBLT-Like Materials
  • Importance of Needs Analysis

8
MP1 -Use Task, Not Text, as the Unit of Analysis
  • Focus on task completion
  • Tasks centered around texts
  • Tasks centered around actual social interaction

9
MP2- Promote Learning by Doing
  • New knowledge is better integrated into long-term
    memory and more easily retrieved if tied to
    real-world events and activities (exercises de la
    vie pratique)
  • TBLT students learn language through doing
    pedagogic tasks
  • Example computer simulations of target
    environment and tasks

10
MP3-Elaborate Input
  • Genuine input
  • Simplified input
  • Elaborated input
  • Achieve comparative levels among NNSs
  • Clearly superior to simplification as a form of
    modification
  • Example client checking into a hotel

11
MP4-Provide Rich Input
  • Learners need
  • Elaborated texts (complex, rich input)
  • Lots of them
  • Texts derived from a broad range of target tasks
  • Texts motivated by tasks of specific kinds a
    needs analysis has shown to be relevant
  • Rich input linguistic complexity, quality,
    quantity, variety, genuineness, and relevance

12
MP5-Encourage Inductive Chunk Learning
  • The more or less hypothesis
  • Tendency of superior L1 and L2 of children
  • Morphemic level
  • Learn the nitty gritty as chunks
  • Tendency of adult learners
  • Attend to meaning of chunks
  • Difficulty recognizing the nitty gritty
  • Teachers develop corpora relevant to tasks

13
MP6-Focus on Form
  • Input flood
  • Input elaboration
  • Input enhancement
  • Corrective feedback on error
  • Input processing

14
MP7-Provide Negative Feedback
  • Necessity of Negative Feedback
  • Importance in language structure aspects
  • Facilitative with certain classes of L2
    structures
  • Challenge of Negative Feedback in DFLL
  • Asynchronous environment
  • Unclear of negative feedback form
  • Need to shorten distance between triggering
    event and feedback
  • Timing critical

15
MP8-Respect Developmental Processes and Learner
Syllabuses
  • Acquisition sequences do not reflect
    instructional sequences and teachability is
    constrained by learnability.
  • Harmony between instruction and learners
    internal syllabus (natural developmental
    processes)

16
MP9-Promote Co-Operative/ Collaborative Learning
  • Positive effects come from co-operative,
    collaborative group work
  • Also has been found with language learning
  • Necessities
  • Goals
  • Avoidance of student dissatisfaction in DFFL

17
MP10-Individualize Instruction
  • Differences in goals, interests, motivation,
    cognitive style, and learning strategies
  • Individualization in TBLT
  • How it is achieved
  • The role of technology in the process of
    achieving individualization

18
Feedback From Forum
  • Often the approach is to task or activity is to
    design an activity for a specific learning
    objective without consulting the learners
  • I think CALL should be understood asboth
    language classroom-connected uses of technology
    and distance language learning
  • LCTL tasks seem to be sort of mock activities of
    real world and controlled activities in which
    learners should follow the directions and solve
    the problems
  • Using elaborated input initiallyand once
    students have achieved some level of
    fluencyexpose to various registers of genuine
    language
  • I think Doughty and Long does not necessarily
    deny the importance of learners' access to
    authentic language input
  • Before or after having them do a
    directions-giving task, why not provide them with
    a recording and transcript of fluent speakers
    doing the same task, so they can see what sort of
    language pops up

19
Conclusion
  • The 10 MPs of TBLT reflect an attempt to
    integrate interpretations of theory and research
    findings in SLA into a coherent design for the
    delivery of instruction
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