Russian higher education problems through the comparative analysis and contraposition of representations of university teachers and students (Part II)

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Titel: Russian higher education problems through the comparative analysis and contraposition of representations of university teachers and students (Part II)
Autoren: Galina I. Saganenko, Aleksey A. Sidorin, Elena I. Stepanova
Quelle: Высшее образование в России, Vol 0, Iss 7, Pp 119-132 (2022)
Verlagsinformationen: Moscow Polytechnic University, 2022.
Publikationsjahr: 2022
Bestand: LCC:Education
Schlagwörter: названия публикаций в журнале «высшее образование в россии», фокусы внимания за два года, контент-анализ, словари пермутационные и алфавитно-частотные, критерии сравнения массивов и выявления различий, авторы статей, преподаватели вузов, рефлексивные опросы, открытые вопросы, суждения, опросы студентов, it-специальности, привлекательные стороны обучения, неудовлетворительные стороны обучения, лишние предметы, недостающие предметы, качество преподавания, гуманитарные предметы, профильные технические предметы, journal «higher education in russia», name of publications, set of articles 2011 and 2012, content-analysis, dictionaries by permutation, alphabetic-frequency dictionaries, attention focuses, criteria of finding the substantial topics, students polls, open questions, quality of education, Education
Beschreibung: The second part of the article focuses on finding the specific features of a social situation with Russian higher education through the representations of university teachers and students. The preceding publication analyzed the full arrays of the articles titles of the journal «Higher Education in Russia» relating to 2011 and to 2012. The given article draws the additional resource – the data arrays received from the students polls. The significant problems of Russian education are treated through the comparative analysis and contrapositions of the conceptions of university teachers and students.The work was carried out with information arrays within the analytical modules of the“VEGA” computer program.
Publikationsart: article
Dateibeschreibung: electronic resource
Sprache: English
Russian
ISSN: 0869-3617
2072-0459
Relation: https://vovr.elpub.ru/jour/article/view/3620; https://doaj.org/toc/0869-3617; https://doaj.org/toc/2072-0459
Zugangs-URL: https://doaj.org/article/96e7d2f148964d728ea2d230bcd87ef6
Dokumentencode: edsdoj.96e7d2f148964d728ea2d230bcd87ef6
Datenbank: Directory of Open Access Journals