TY - CHAP

T1 - On prospects of using the DDL approach in GSP course

AU - Kogan, Marina

AU - Kolotaeva, Anna

AU - Yaroshevich, Anna

AU - Zakharov, Victor

N1 - Conference code: XVIII

PY - 2018

Y1 - 2018

N2 - This study focuses on prospects of using data-driven learning (DDL) methodology in teaching German for specific purposes (GSP) at Peter the Great Petersburg Polytechnic University. Unlike General English and English for specific purposes that are successfully taught with DDL worldwide, DDL does not seems to have paved the way to the GSP classroom yet. The paper analyses the reasons for this. One of the obstacles is that large general corpora do not contain field specific terminology, whereas specialized German corpora are not available. German scientific termhood is featured with high portion of compounds. Preliminary study of a small corpus of scientific papers built by the authors for this research proved this fact which makes it relevant to academic needs of learners of German who make a lot of mistakes in using and translating German compounds. The article presents lists of the most frequent nouns and some of the most frequent compound nouns that contain the nouns from the first list as stems generated using the AntConc freeware corpus analysis toolkit and a set of corpus-based teaching materials to help students to handle this lexical category. Further research should confirm the efficiency of DDL in teaching German compounds in the GSP classroom and effectiveness of the described way of integrating DDL in the GSP classroom: determining problem areas (gaps) in students’ knowledge -> finding these structures in the corpus -> development of corpus-based teaching materials, and using them in the GSP course.

AB - This study focuses on prospects of using data-driven learning (DDL) methodology in teaching German for specific purposes (GSP) at Peter the Great Petersburg Polytechnic University. Unlike General English and English for specific purposes that are successfully taught with DDL worldwide, DDL does not seems to have paved the way to the GSP classroom yet. The paper analyses the reasons for this. One of the obstacles is that large general corpora do not contain field specific terminology, whereas specialized German corpora are not available. German scientific termhood is featured with high portion of compounds. Preliminary study of a small corpus of scientific papers built by the authors for this research proved this fact which makes it relevant to academic needs of learners of German who make a lot of mistakes in using and translating German compounds. The article presents lists of the most frequent nouns and some of the most frequent compound nouns that contain the nouns from the first list as stems generated using the AntConc freeware corpus analysis toolkit and a set of corpus-based teaching materials to help students to handle this lexical category. Further research should confirm the efficiency of DDL in teaching German compounds in the GSP classroom and effectiveness of the described way of integrating DDL in the GSP classroom: determining problem areas (gaps) in students’ knowledge -> finding these structures in the corpus -> development of corpus-based teaching materials, and using them in the GSP course.

UR - https://www.europeanproceedings.com/article/10.15405/epsbs.2018.12.02.188

M3 - Article in an anthology

SN - 978-1-80296-050-1

T3 - European Proceedings of Social and Behavioural Sciences

SP - 1763

EP - 1775

BT - Professional Сulture of the Specialist of the Future

PB - Future Academy

T2 - 18TH PCSF 2018 - PROFESSIONAL СULTURE OF THE SPECIALIST OF THE FUTURE

Y2 - 28 November 2018 through 30 November 2018

ER -