Maria Danilchuk
2021 - PhD degree
2015 - 2019 Herzen State Pedagogical University of Russia, St. Petersburg
PHD-student, philological faculty, applied and computational linguistics
2010 - 2012 Herzen State Pedagogical University of Russia, St. Petersburg
Master of Science in Linguistics, informational technologies in philology
2006 - 2010 Herzen State Pedagogical University of Russia, St. Petersburg
Bachelor of Science in Linguistics, foreign languages and computational linguistics
Additional education:
2014 Europe Institute of Education and Recruitment, St. Petersburg
Marketing management
Supervisors: Научный руководитель Беляева Лариса Николаевна, заслуженный деятель науки РФ, доктор филологических наук, профессор
2015 - 2019 Herzen State Pedagogical University of Russia, St. Petersburg
PHD-student, philological faculty, applied and computational linguistics
2010 - 2012 Herzen State Pedagogical University of Russia, St. Petersburg
Master of Science in Linguistics, informational technologies in philology
2006 - 2010 Herzen State Pedagogical University of Russia, St. Petersburg
Bachelor of Science in Linguistics, foreign languages and computational linguistics
Additional education:
2014 Europe Institute of Education and Recruitment, St. Petersburg
Marketing management
Supervisors: Научный руководитель Беляева Лариса Николаевна, заслуженный деятель науки РФ, доктор филологических наук, профессор
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Papers by Maria Danilchuk
неязыковых отделений вузов. В результате получаемые знания воспринимаются как вспомогательные при освоении основной специальности. Как следствие,
важные навыки говорения и другие формируются медленно и с большими
трудностями, что ведет к потере мотивации к изучению иностранного языка в
целом. В статье рассмотрены возможности использования smart-технологий для
повышения мотивации студентов к изучению иностранного языка.
A foreign language is not a priority discipline for students at non-linguistic
university departments. As a result, the acquired knowledge is perceived as supporting for the mastering of the major discipline. Therefore, speaking skills as well as
other important skills are formed slowly and with serious difficulties, resulting in the
loss of motivation for foreign language learning in general. The present article considers the possibilities of the smart technologies use for increasing the student’s motivation to the foreign language learning.
experiment. The paper features an experiment with the following algorithm:
1) problem statement, 2) development, 3) and questionnaire testing. The paper
includes recommendations on crowdsourcing project organization, as well as some
issues of respondents’ motivation, questionnaire design, choice of crowdsourcing
platform, data export, etc. The linguistic experiment made it possible to obtain
data on the potential of the phonosemantic analysis in solving naming problems
in marketing. The associations of the brand name designer matched those of the
majority of the Internet pannellists. The experiment showed that crowdsourcing
proves to be an available method within the network society. It gives an opportunity
to receive objective data and demonstrates high research capabilities. The described
procedure of the crowdsourcing project can be used in various linguistic experiments
Thesis Chapters by Maria Danilchuk
неязыковых отделений вузов. В результате получаемые знания воспринимаются как вспомогательные при освоении основной специальности. Как следствие,
важные навыки говорения и другие формируются медленно и с большими
трудностями, что ведет к потере мотивации к изучению иностранного языка в
целом. В статье рассмотрены возможности использования smart-технологий для
повышения мотивации студентов к изучению иностранного языка.
A foreign language is not a priority discipline for students at non-linguistic
university departments. As a result, the acquired knowledge is perceived as supporting for the mastering of the major discipline. Therefore, speaking skills as well as
other important skills are formed slowly and with serious difficulties, resulting in the
loss of motivation for foreign language learning in general. The present article considers the possibilities of the smart technologies use for increasing the student’s motivation to the foreign language learning.
experiment. The paper features an experiment with the following algorithm:
1) problem statement, 2) development, 3) and questionnaire testing. The paper
includes recommendations on crowdsourcing project organization, as well as some
issues of respondents’ motivation, questionnaire design, choice of crowdsourcing
platform, data export, etc. The linguistic experiment made it possible to obtain
data on the potential of the phonosemantic analysis in solving naming problems
in marketing. The associations of the brand name designer matched those of the
majority of the Internet pannellists. The experiment showed that crowdsourcing
proves to be an available method within the network society. It gives an opportunity
to receive objective data and demonstrates high research capabilities. The described
procedure of the crowdsourcing project can be used in various linguistic experiments