THE LEARNING AND EDUCATIONAL POTENTIAL OF DIGITAL TOOLS IN HUMANITIES AND SOCIAL SCIENCE
DOI:
https://doi.org/10.17770/sie2020vol4.4851Keywords:
digital technologies, search engine, research engineAbstract
The paper focuses onup-to-date cutting-edge digital technologies that may be used in teaching university students. The authors suggest distinguishing three types of digital tools, or engines: search tools, research tools and interactive ones. The didactic and research potential of these tools is analysed. The search potential of search engines and text corpora is compared, supported by practical templates which illustrate how the engines are employed to their best.The research potential is assessed on the practical example of semantic experimental research into the difference in the meanings of the words competence vs competency. The Google-supported experiment was elaborated and illustrated against traditional polls of native-speakers, the results of the two showed good concordane which testifies to the reliable validity of research engines for linguistic experiments. Special attention is paid to interactive engines which are used in the educational context, such as Mentimeter, or supporting an educational blog. The blog is treated as a powerful tool in promoting academic writing skills in students, their communication skills and a didactical tool used for sharing professionally relevant information among the students and professors. The blog elements are described.
References
Channel, J. (2003). Corpus-based Analysis of Evaluative Lexis.In S. Hunston, G. Thompson (Eds.),Evaluation in Text: Authorial Stance and the Construction of Discourse(pp. 56-73). Oxford: Oxford University Press.
Davis, M. (2008-) The Corpus of Contemporary American English (COCA): 600 million words, 1990-present. Available online at https://www.english-corpora.org/coca/
Davis, M. (2008-) The Corpus of Contemporary American English (COCA): 600 million words, 1990-present. Available online at https://www.english-corpora.org/coca/.
Davis, M. (2011-) Google Books Corpus. (Based on Google Books n-grams). Available online at http://googlebooks.byu.edu/.
Dymshitz, M., & Shalak V.I. (2000),VAAL-miniProject, 1992-present. Available online at http://www.vaal.ru/proekt/vaal2000.php
Firth, J.R. (1935). The technique of semantics. Transactions of the Philological Society,34(1), pp.36-72.
Fischer, K. (2010). Quantitative methods in cognitive semantics. Introduction to the volume. In D. Glynn, K. Fischer (Eds.), Quantitative methods in cognitive semantics: corpusdriven approaches (pp. 43-59). Berlin / N. Y. : Walter de Gruyter.
Fisz, M. (1963) Probablity theory and mathematical statistics. 3rd Edition. New York: Krieger Pub, 677 p.
Gatto, M. (2014). The Web as Corpus: Theory and practice. London, New York : Bloomsbury Academic.
Mordovin, A. Yu. (2015). «Veb kak korpus» ili «korpus kak veb»: novaya real'nost' korpusnoj lingvistiki [«Web as corpus» or «corpus as web»: The new reality of corpus linguistics]. Vestnik MGLU. Series : Yazykoznanie i literaturovedenie. Kognitivnye aspekty yazyka i rechi [Vestnik of Moscow State Linguistic University. Linguistics and Literary Studies. Cognitive Aspects of Language and Speech], 3 (714), 163–172.
National Corpus of the Russian Language (2003-). 600 million words, 2003-present. Available online athttp://www.ruscorpora.ru/new/
Petrova, I. M. (2018). Kognitivnyj aspekt kombinatoriki sochinitel'nyh parnyh slovosochetanij v anglijskom i russkom yazykah [Cognitive aspect of combinatorics of compositional paired phrases in English and Russian]. Sovremennaya nauka: aktual'nye problemy teorii i praktiki [Modern science: actual problems of theory and practice], 9, 151–156.
Rakhilina, Е. V. (2017). Eksperimental'naya i korpusnaya lingvistika: retsenziya na sbornik statey k yubileyu O. A. Suleymanovoy «Kontensivnye aspekty yazyka: konstantnost' i variativnost'» [Experimental and corpus linguistics: Review of the collection of articles for the anniversary of O. A. Suleymanova «Content aspects of language: constancy and variability»]. Vestnik Mosk. gorod. ped. unta. Ser: Filologiya. Teoriya yazyka. Yazykovoe obrazovanie [Vestnik of Moscow City University. Series : Philology. Theory of language. Language education], 3 (27), 119–128.
Sheninger, E. Digital leadership: changing paradigms for changing times. New York: Corwin, 2014. 288 p.
Souleimanova, O. A., Demchenko, V. V. (2018). Ispol'zovanie BIGDATA v eksperimental'nyh lingvokognitivnyh issledovaniyah: analiz semanticheskoj struktury glagola shudder [Using big data in experimental linguocognitive studies: Analysis of the semantic structure of the verb shudder]. Kognitivnye issledovaniya yazyka [Cognitive studies of language], 33, 466-472.
Souleimanova, O. A., Petrova, I. M. (2018). Eksplanatornyj potencial teorii klassov dlya lingvisticheskogo issledovaniya: poryadok sledovaniya opredelenij [Explanatory potential of the theory of classes for linguistic research: Word order in attributive group]. Filologiya: nauchnye issledovaniya [Philology: Scientific researches], 3, 52-64.
Thelwall, M., Buckley, K.&Paltoglou, G.(2012-) SentiStrength Automatic Sentiment Analysis. Available online at http://sentistrength.wlv.ac.uk/
Tropes (1994). High Performance Text Analysis for Professional Users. Available online at http://www.semantic-knowledge.com/tropes.htm
Tummers, J., Heylen, K., Geeraerts, D. (2005). Usagebased approaches in cognitive linguistics: a technical state of the art. Corpus Linguistics and Linguistic Theory, 1 (2), 225-261.
Warström, J. (2014-)MentimeterAvailable online at https://www.mentimeter.com/
Downloads
Published
Issue
Section
How to Cite
