Specific Vocabular Strata as an Important Aspect of Teaching English to Students Specializing in Internet Technologies
Abstract
This article analyzes the peculiarities of teaching English to students of faculties specializing in the study of computer science and Internet technologies. The distinctive features of the vocabular strata which are characteristic of the English language in this professional field are revealed. The study of professional vocabulary layers such as terms, idioms, collocations, abbreviations, set-expressions, jargon and slang is an important aspect of mastering English language. Proficiency and free orientation in these areas of the language are necessary for cross-cultural communication with colleagues from the scientific community, writing qualification papers, scientific articles and presentations as well as participation in international conferences. This will allow graduates of faculties related to computational mathematics and cybernetics to easily join their professional community, discuss problems, receive new information and grow in professional and scientific fields.
The authors propose the principles of teaching construction and methodology, including the compilation of textbooks and materials for interactive learning platforms to let the students of the relevant faculties master this lexical base. Examples of tasks and exercises aimed at studying the necessary lexical volume as well as the keys to them are given. Tasks are based on lists of lexical units with explanations and fragments of materials from computer journals, conferences, articles, books and Internet resources containing these units to illustrate their use in speech. The authors successfully apply this methodology in the framework of teaching English to students at the intermediate, upper intermediate and advanced levels. This technique will allow training highly qualified specialists and scientific personnel in the targeted field on the basis of the Faculty of Computational Mathematics and Cybernetics of the Lomonosov Moscow State University and the corresponding faculties of other Higher Educational Institutions.
References
2. Allan K. Jargon. In: Brown K. (Ed.) Encyclopedia of Language & Linguistics. 2nd ed. Elsevier Ltd.; 2006. p. 109-112. doi: https://doi.org/10.1016/B0-08-044854-2/05147-6
3. Ulitkin I., Filipova I., Ivanova N., Babaev Yu. Use and translation of abbreviations andacronyms in scientific texts. E3S Web of Conferences. 2020;210:21006. doi: https://doi.org/10.1051/e3sconf/202021021006
4. Drake G.F. The Social Role of Slang. In: Giles H., Robinson W.P., Smith P.M. (Eds.) Language: Social Psychological Perspectives. Selected Papers from the First International Conference on Social Psychology and Language held at the University of Bristol, England, July 1979. Oxford: Pergamon Press; 1980. p. 63-70. doi: https://doi.org/10.1016/B978-0-08-024696-3.50015-6
5. Ceri S. On the role of statistics in the era of big data: A computer science perspective. Statistics & Probability Letters. 2018;136:68-72. doi: https://doi.org/10.1016/j.spl.2018.02.019
6. Serpil H., Durmosoglu-Kose G., Erbe M., Öztürk Y. Employing Computer-assisted Translation Tools to Achieve Terminology Standardization in Institutional Translation: Making a Case for Higher Education. Procedia ‒ Social and Behavioral Sciences. 2016;231:76-83. doi: https://doi.org/10.1016/j.sbspro.2016.09.074
7. Brooks R., Wang K.-C., Oakley J., Tusing N. Global Internet Traffic Routing and Privacy. In: 2020 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC). Moscow, Russia: IEEE Computer Society; 2020. p. 1-7. doi: https://doi.org/10.1109/MoNeTeC49726.2020.9258193
8. Bahri S., Bahri P., Lal S. A Novel Approach of Sentiment Classification using Emoticons. Procedia Computer Science. 2018;132:669-678. doi: https://doi.org/10.1016/j.procs.2018.05.067
9. Oussalah M., Escallier B., Daher D. An automated system for grammatical analysis of Twitter messages. A leaning task application. Knowledge-Based Systems. 2016;101:31-47. doi: https://doi.org/10.1016/j.knosys.2016.02.015
10. Salama A., Saatchi R. Probabilistic classification of quality of service in wireless computer networks. ICT Express. 2019;5(3):155-162.doi: https://doi.org/10.1016/j.icte.2018.09.001
11. Stoykova V. Teaching Corpus Linguistics. Procedia Social and Behavioral Sciences. 2014;143:437-441. doi: https://doi.org/10.1016/j.sbspro.2014.07.513
12. Frumuselu A.D., Maeyer S., Donche V., Plana M. Television Series inside the EFL classroom: Bridging the Gap between Teaching and Learning Informal Language through Subtitles. Linguistics and Education. 2015;32(B):107-117. doi: https://doi.org/10.1016/j.linged.2015.10.001
13. Heye D. You speak the technical jargon. In: Heye D. (Ed.) Characteristics of the Successful 21st Century Information Professional. Oxford: Chandos Publishing; 2006. p. 113-130. doi: https://doi.org/10.1016/B978-1-84334-145-1.50014-9
14. Neal K.L. Be clear: is my proposal full of jargon? In: Neal K.L. (Ed.) Six Key Communication Skills for Records and Information Managers. Oxford: Chandos Publishing; 2014. p. 11-22. doi: https://doi.org/10.1533/9781780634630.11
15. Burt R.S., Reagans R.E. Team talk: Learning, jargon, and structure versus the pulse of the network. Social Networks. 2022;70:375-392. doi: https://doi.org/10.1016/j.socnet.2022.05.002
16. Chapter 38 Communication. In: Lester A. (Ed.) Project Management, Planning and Control. 7th ed. Managing Engineering, Construction and Manufacturing Projects to PMI, APM and BSI Standards. Butterworth Heinemann; 2017. p. 363-368. doi: https://doi.org/10.1016/B978-0-08-102020-3.00038-3
17. Some Terms and Jargon of IEC 61508. In: Smith D.J., Simpson K. (Eds.) The Safety Critical Systems Handbook. 4th ed. A Straightforward Guide to Functional Safety: IEC 61508 (2010 edn.), IEC (2015 edn.) & Related Guidance. Butterworth Heinemann; 2016. p. 299-302. doi: https://doi.org/10.1016/B978-0-12-805121-4.15008-1
18. Yampolskaya A. Computer Slang in Russian and English Languages: Basic Classification and Some Reasons for Studying. In: Sukhomlin V.A. (Ed.) Proceedings of the International Conference on Modern Information Technologies and IT-Education. Moscow: MSU; 2019. p. 112-119. Available at: https://elibrary.ru/item.asp?id=38581962 (accessed 17.01.2023).
19.Jaradat G.M. Internship training in computer science: Exploring student satisfaction levels. Evaluation and Program Planning. 2017;63:109-115. doi: https://doi.org/10.1016/j.evalprogplan.2017.04.004
20. Zendler A., Hubwieser P. The influence of (research-based) teacher training programs on evaluations of central computer science concepts. Teaching and Teacher Education. 2013;34:130-142. doi:https://doi.org/10.1016/j.tate.2013.03.005
21. Franceschet M. The skewness of computer science. Information Processing & Management. 2011;47(1):117-124. doi: https://doi.org/10.1016/j.ipm.2010.03.003
22.Wang D., Liang Y., Xu D., Feng X., Guan R. A content-based recommender system for computer science publications. Knowledge-Based Systems. 2018;157:1-9. doi: https://doi.org/10.1016/j.knosys.2018.05.001
23.Yüce B., Karahoca A., Karahoca D. The use of electronic curriculums in occupational education to evaluate and improve the cognitive capacity of candidate software engineers. Procedia Computer Science. 2022;3:1418-1424. doi: https://doi.org/10.1016/j.procs.2011.01.024
24. Ciobanu G. Contribution of a Terminology Centre in Managing Computer Terminology. Procedia Social and Behavioral Sciences. 2012;46:4678-4681. doi: https://doi.org/10.1016/j.sbspro.2012.06.317
25. Ruthotto I., Kreth Q., Stevens J., Trively C., Melkers J. Lurking and participation in the virtual classroom: The effects of gender, race, and age among graduate students in computer science. Computers & Education. 2020;151:103854. doi: https://doi.org/10.1016/j.compedu.2020.103854
26. Goodrum A.A., McCain K.W., Lawrence S., Lee Giles C. Scholarly publishing in the Internet age: a citation analysis of computer science literature. Information Proceeding & Management. 2001;37:661-675. doi:https://doi.org/10.1016/S0306-4573(00)00047-9
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