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Dynamic Adaptness of National Aspects for Maritime English Teaching through Unified Communication Platform

EasyChair Preprint no. 3154

6 pagesDate: April 12, 2020


Specificity of computer-mediated teaching Maritime English(ME) as a professional subject in synchronous and asynchronous modes is connected with linguistics ,neurolinguistics, pragmatic and social modelling of teacher-trainer and learner-trainee behavioral variability. Coming from teaching ME to foreign students we accumulated some practical experience and investigate how phonological,lexicogrammatical,discourse,social/communicative frameworks of teaching process “face-to-face” and “on-line” modes will contribute to creating local structures of sub-language of specialty. Other words,we mean to come from contexualised to decontextualized process of teaching ME, from coding to decoding the linguistic information. We’ve tried to approach this position getting ready the teaching material for Unified Communication Platform within limits of case-marking system. This one in our opinion is to be construed coming from the event-argument structure in static meta-system to dynamic linguistic/developing system.

The effectiveness of this transition process can be defined positively when learners’ language/sublanguage acquisition will exceed the combination of their initial training state and the input.

National peculiarities of pronunciation  to be adjusted and mitigated in converting to ME are only the top of the iceberg.  We would like to trace agents or elements of ME emergent behavior leading to self –organisation and interaction in ME properly structured ways.

Keyphrases: Behavioral, case marking, contextualized, emergent, event argument, Framework, input, transition, variability

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Nadiia Ivasiuk},
  title = {Dynamic Adaptness of National Aspects for Maritime English Teaching through Unified Communication Platform},
  howpublished = {EasyChair Preprint no. 3154},

  year = {EasyChair, 2020}}
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