English Language Teaching Innovative Technology

 

 

Tetiana Pavlova

 

Faculty of Linguistics, National Technical University of UkraineKPI”, Kyiv, Ukraine,

e-mail: T_Pavlova@ukr.net

 

 

At the National Technical University “KPI” we want all graduates to leave the university with highly employable, applied English language skills. With this in mind our department's research goals include the areas of:

·   developing pedagogical theories and models for teaching writing and presentation skills

·   exploring and developing professional preparatory courses for young researchers to be able to proficiently research, write, publish and give presentations in English

·   exploring and developing methodologies for teaching, e.g. analytical and evaluative skills

·   researching the influence and use of media and electronic tools in language education

·   developing models for cross- and interdisciplinary studies based on language department curricula

·   general curricular development for special purpose language study

·   translation theories, methodologies and practices

·   measuring impact of teaching outputs on the world of commerce and trade, i.e., how our teaching is actually used by our graduates

·   measuring the status quo of and predicting future trends of actual language skills' and knowledge use in the 'real world'

·   producing high quality teaching materials reflecting all the above points

·   exploring how to use language teaching to support research and development, and especially the university community as a whole

·   implementing information technologies in foreign language teaching all over the course.

English for specific purposes - teaching strategies

The increasing emphasis and promotion of autonomous learning of foreign languages and the widening role of online technologies have lately become the major features in language teaching in the university. Drawing from the teaching experience we suggest a procedure for IT-based training, in which a special emphasis is placed on the process of framing research tasks and employing deep learning strategies in the process of their completion.