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Slabin, Uladzimir – International Baltic Symposium on Science and Technology Education, 2023
Eponymous terms play an important role in STEM education. This research focuses on the current state of Mendeleev eponyms in the context of education and ethnocentrism, addressing their usage in various languages, their educational value, cases of questioned priority and copyright violation in Mendeleev major eponyms--periodic table and periodic…
Descriptors: STEM Education, Ethnocentrism, Language Usage, Copyrights
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Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
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Abdullaev, Ruslan – Bulgarian Comparative Education Society, 2021
Uzbekistan is a multinational country where the Uzbek language remains the only official language within the country. While historically the Russian language has served the function of a "lingua franca" for ethnic minorities, and was often viewed as a second "mother tongue" within Uzbekistan, its status appears to be declining…
Descriptors: Foreign Countries, Second Language Instruction, Second Language Learning, English (Second Language)
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Egorova, Maia A.; Ruiz, T. A. Zapata – NORDSCI, 2021
It is impossible to imagine a modern person with higher education who would have never studied one or several foreign languages and would not be familiar with the culture of different countries. Especially in the modern world, in which knowledge of languages serves not only as a way of cognition, but also as a key to self-realization both in one's…
Descriptors: Second Language Learning, Second Language Instruction, Interference (Language), Higher Education
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Olney, Andrew M. – Grantee Submission, 2021
This paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and grammaticality/fluency: 70% of meaning ratings were above 75, and 40% of paraphrases were considered…
Descriptors: Translation, Language Processing, Error Analysis (Language), Grammar