Kļavinska, Antra

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Kļavinska, Antra
Alternative Name
Klavinska, Antra
Main Affiliation
Email
antra.klavinska@rta.lv
Scopus Author ID
57392271700
Researcher ID
AAA-9426-2022

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  • Publication
    Factors in the development of smart villages regarding tourism in the Baltic states
    (2023)
    Iveta Dembovska
    ;
    Kļavinska, Antra 
    ;
    Zanda Dimanta-Svilpe
    ;
    Asta Raupeliene
    This study aims to examine the nature of smart villages and the factors in their development in relation to the tourism industry in the Baltic states. This research employed theoretical literature analysis to conceptualize the factors contributing to smart village development, discourse analysis (analysis of good smart village branding practice), a qualitative approach and descriptive analysis to analyse semi-structured expert survey e-questionnaires to identify the nature of smart villages, as well as to analyse factors in the development of smart villages in relation to tourism in the Baltic states. Specialists who represent tourism, other businesses and the discipline of economics were chosen as experts. The experts indicated that the development of smart villages can contribute to essential and important factors in the development of tourism such as the growth of a creative economy, the development of community culture, values, traditions and symbols, the production of local food, the establishment of unique natural, cultural and recreational objects, as well as improvement in infrastructure and the introduction of new technologies. The study contributes to an understanding of the development of smart villages, given the important factors that were examined. The smart village approach is a relatively new approach to sustainable rural development and tourism promotion. In Europe, it is a better-known approach to developing local areas and tourism, yet each region has its own distinctive features.
    Scopus© Citations 1
  • Publication
    Latviešu valodas apguvēju korpuss lietojumā: teorētisks un metodoloģisks ieskats
    (2021)
    Kļavinska, Antra 
    Several text corpora have been created in Latvia, including learner corpora. One of the latest projects is the Latvian Language Learner Corpus (LaVA), which contains the works of international students studying in Latvian higher education institutions who are learning Latvian as a foreign language. The texts are morphologically tagged automatically, and learner errors are tagged manually. A sufficient scope of publications is available, which provides the theoretical basis for the creation of Latvian language learner corpora; however, there is a lack of studies or practical methodological guidelines concerning the opportunities for their application, and there is little data about the use of text corpora in language acquisition. The aim of this study is to explain from the theoretical perspective for what purposes learner corpus data may be used, as well as to illustrate the methodological groundwork with examples from the LaVA corpus. Analysis of theoretical literature has demonstrated the functions and meaning of learner corpora in research, and experience with the use of corpora in acquiring a foreign language has been analysed. Examples of the use of the LaVA corpus as a didactic resource have been prepared using Corpus Linguistics methods. The study was conducted within the state research programme project “The Latvian Language”. After studying the functions of learner corpora from the theoretical perspective, it was concluded that the target audience of the LaVA corpus mainly includes teachers of Latvian as a foreign language (LATS), authors of teaching materials, as well as Latvian language learners. To facilitate the use of the LaVA corpus, it is important to have basic knowledge of Corpus Linguistics, an understanding of the theory of language, as well as an understanding of foreign language teaching methodology. LATS teachers can use the LaVA corpus data in the creation of curricula and teaching materials, in the preparation of language proficiency tests, etc. Using the inductive approach in language acquisition, language learners can also become language researchers, can analyse the errors of other learners, etc. Undeniably, the LaVA corpus can be used in broader linguistic research, for example, in contrastive interlanguage analysis, comparing the data of language learners with the data of native speakers or the data of different groups of language learners.