Learner Corpus in German as a Data Source for Education and Science

One example of the digitalization of education is the creation of a linguistic learner corpus of student papers in a foreign language at an educational institution in order to use this corpus for research, teaching and learner analytics. This paper describes the experience of creating such linguisti...

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Main Authors: Irina Kotiurova, Liudmila Shchegoleva
Format: Article
Language:English
Published: National Research University Higher School of Economics (HSE) 2022-12-01
Series:Вопросы образования
Subjects:
Online Access:https://vo.hse.ru/article/view/16526
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author Irina Kotiurova
Liudmila Shchegoleva
author_facet Irina Kotiurova
Liudmila Shchegoleva
author_sort Irina Kotiurova
collection DOAJ
description One example of the digitalization of education is the creation of a linguistic learner corpus of student papers in a foreign language at an educational institution in order to use this corpus for research, teaching and learner analytics. This paper describes the experience of creating such linguistic learner corpus at Petrozavodsk State University. Petrozavodsk Annotated Corpus of Texts (PACT) was founded in 2020, but even 2 years of its development have already shown a wide field for implementing this experience in the work of a university. The article provides a general description of the learner corpus PACT and gives examples of its use – being implemented and planned to be implemented. The key research question is what opportunities for training and professional development of future foreign language teachers offers and what potential for educational data mining and management of the educational process the learner corpus in a foreign language has. Answering this basic question, the authors refer to the experience of another corpus of student texts — REALEC, the English annotated learner corpus, which is the prototype of the original PACT corpus. The authors conclude that the corpus of student texts in a foreign language, as an example of big data collected in a university, has great potential in several directions: for research purposes for specialists in linguistics, linguodidactics, psycholinguistics, information technology and artificial intelligence; for educational purposes directly applied in the foreign language classes, for students research work and as a resource for individual tasks automatic generator; for educational data mining.
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spelling doaj.art-b9e414689d0a43eead22f73225e006f52023-02-14T12:05:12ZengNational Research University Higher School of Economics (HSE)Вопросы образования1814-95452412-43542022-12-01432234910.17323/1814-9545-2022-4-322-34916526Learner Corpus in German as a Data Source for Education and ScienceIrina Kotiurova0Liudmila Shchegoleva1Petrozavodsk State UniversityPetrozavodsk State UniversityOne example of the digitalization of education is the creation of a linguistic learner corpus of student papers in a foreign language at an educational institution in order to use this corpus for research, teaching and learner analytics. This paper describes the experience of creating such linguistic learner corpus at Petrozavodsk State University. Petrozavodsk Annotated Corpus of Texts (PACT) was founded in 2020, but even 2 years of its development have already shown a wide field for implementing this experience in the work of a university. The article provides a general description of the learner corpus PACT and gives examples of its use – being implemented and planned to be implemented. The key research question is what opportunities for training and professional development of future foreign language teachers offers and what potential for educational data mining and management of the educational process the learner corpus in a foreign language has. Answering this basic question, the authors refer to the experience of another corpus of student texts — REALEC, the English annotated learner corpus, which is the prototype of the original PACT corpus. The authors conclude that the corpus of student texts in a foreign language, as an example of big data collected in a university, has great potential in several directions: for research purposes for specialists in linguistics, linguodidactics, psycholinguistics, information technology and artificial intelligence; for educational purposes directly applied in the foreign language classes, for students research work and as a resource for individual tasks automatic generator; for educational data mining.https://vo.hse.ru/article/view/16526petrozavodsk annotated corpus of pact textslearner corpusforeign languagedata driven learningbig databig data in educationeducational data mining
spellingShingle Irina Kotiurova
Liudmila Shchegoleva
Learner Corpus in German as a Data Source for Education and Science
Вопросы образования
petrozavodsk annotated corpus of pact texts
learner corpus
foreign language
data driven learning
big data
big data in education
educational data mining
title Learner Corpus in German as a Data Source for Education and Science
title_full Learner Corpus in German as a Data Source for Education and Science
title_fullStr Learner Corpus in German as a Data Source for Education and Science
title_full_unstemmed Learner Corpus in German as a Data Source for Education and Science
title_short Learner Corpus in German as a Data Source for Education and Science
title_sort learner corpus in german as a data source for education and science
topic petrozavodsk annotated corpus of pact texts
learner corpus
foreign language
data driven learning
big data
big data in education
educational data mining
url https://vo.hse.ru/article/view/16526
work_keys_str_mv AT irinakotiurova learnercorpusingermanasadatasourceforeducationandscience
AT liudmilashchegoleva learnercorpusingermanasadatasourceforeducationandscience