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Computer Assisted Individual Approach to Acquiring Foreign Vocabulary of Students Major

  • Nadezhda Almazova
  • Marina Kogan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8524)

Abstract

Multiple challenges for organizing an effective ESP language course for non-linguistics post-graduate students at St. Petersburg State Polytechnical University (SPbSPU) are inherently rooted in the broad spectrum of students’ majors in ESP classes. Diversity of students’ academic interests calls for new approaches and for tailoring the course in accordance with the students’ needs. Our study represents an approach to individualizing the course by introducing data-driven learning (DDL) elements into the syllabus. More specifically, our approach is aimed at having post-graduate students getting concordances of their readings corpora for identifying unfamiliar vocabulary. The paper describes the recommended software for concordance building, concordance-based activities with unfamiliar vocabulary and the way of controlling the vocabulary acquisition. Test results show steady progress in independent vocabulary acquisition among the experiment participants. Questionnaires show they see the usefulness and efficiency of DDL approach to identifying and learning unfamiliar vocabulary.

Keywords

data-driven learning (DDL) approach teaching methodology ESP course for post-graduates concordance building software knowledge rating unfamiliar vocabulary 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Nadezhda Almazova
    • 1
  • Marina Kogan
    • 1
  1. 1.Dep. of Linguistics and Cross-Cultural CommunicationSt. Petersburg State Polytechnical UniversitySt. PetersburgRussia

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