Analysis of some factors influencing the performance of college students: An example of Computer Science education
https://doi.org/10.17853/1994-5639-2020-2-171-196
Abstract
Introduction. In recent years, the structure and content of training of specialists of further education have significantly improved. The increased popularity of the secondary vocational education system is evidenced by the fact that more than half of the Russian teenagers after graduating from the main stage of secondary school become applicants of technical schools and colleges. In order to manage students’ education more effectively, among other measures, it is necessary to diagnose the motivation of enrolled students at the stage of admission to the educational institution and to identify the degree of awareness of their future career choice, as these factors directly depend on the success of educational programmes.
The aim of the article was to reveal the trends of influence of students’ results at the Basic State Exam (OGE – the exam, which is taken when finishing education in the 9th (final) form of comprehensive school) on the level of knowledge of Computer Science in colleges and to find out the subjective reasons of students’ preferences for the secondary vocational education system to continue studies and to enter a profession.
Methodology and research methods. In the course of the study, a review and generalisation of the content of scientific sources related to the problems of professional choice and training motivation were used. Diagnostics of motivation of college students in Moscow, Moscow region and the regions of Russia was conducted through the methods of testing, surveys and anonymous questioning. Processing of the obtained data was carried out by the methods of correlation, variance and regression analysis; the degree of statistical reliability of the results was evaluated by calculating the Student’s t-test and the Fisher’s F-test.
Results and scientific novelty. The authors have calculated the numerical indicators of relationship between students’ academic performance in computer science and the Basic State Exam taking, the reasons for choosing the secondary vocational education and the specialty. Constructed graphs and approximating curves prove the fact that the success degree when learning the certain discipline in college results from the assessment within the discipline taken at the Basic State Exam in school. In the regions of Russia, this factor guarantees a higher level of knowledge on Computer Science – by about 20%, and in the Moscow region – by 10%. The statistics on respondents’ professional orientation were collected. A regression model, demonstrating the impact of students’ motivational attitudes on their training in the subject discipline, is presented. It was found out that the motives “subsequent admission to a specialised university”, “obtaining a profession”, “business attitude to a profession” and “prestige of a profession” have the most positive influence in this context. The variance analysis confirmed the determinism of the learning outcomes by the reasons for the choice of secondary vocational education and profession. It is concluded that the reasons for the low or medium students’ performance include not only their weak motivation for education, but also the state of the entire education system, including the institutions of the Basic State Exam (OGE) and the Unified State Exam (EGE – high school final and university entrance exam taken upon completion of the 11th form), as well as the lack of clear criteria for the admission of applicants to the institutions of secondary vocational education. To get a specific specialty, the desire to study, its informed choice and prestige of profession positively affect students’ learning outcomes in Computer Science education.
Practical significance. The research materials can be useful for teachers of secondary vocational education and for specialists involved in career guidance.
About the Authors
L. V. GubinaRussian Federation
Lyudmila V. Gubina – Candidate of Economic Sciences, Associate Professor, Department of Information Management and Information and Communication Technologies named after V. V. Dick
MoscowT. V. Alekseeva
Russian Federation
Tamara V. Alekseeva – Associate Professor, Department of Information Management and Information and Communication Technologies named after V. V. Dick
MoscowO. A. Strakhov
Russian Federation
Oleg A. Strakhov – Candidate of Technical Sciences, Head of Department of Information Management and Information and Communication Technologies named after V. V. Dick
Moscow
References
1. Kravtsov S. S. The dilemma of choice - schoolchildren go to colleges massively. Obrasovanie v Moskve = Education in Moscow [Internet]. 2018 [cited 2019 Mar 21]. Available from: https://obrmos.ru/go/go_coll/Articles/go_coll_art_59.html (In Russ.)
2. Zhdanova L. G. Some features of student learning motivation. In: Lichnost’, sem’ja i obshhestvo: voprosy pedagogiki i psihologii: sbornik statej po materialam XIX Mezhdunarodnoj nauchno-prakticheskoj konferencii = Personality, Family and Society: Issues of Pedagogy and Psychology. Collected of Articles on the 19 th International Scientific and Practical Conference; 2012; Novosibirsk. Novosibirsk: Publishing House SibAK; 2012. p. 73-78. (In Russ.)
3. Il’in Ye. P. Motivatsiya i motivy = Motivation and motives. St. Petersburg: Publishing House Piter; 2002. (A series of “Masters of Psychology”) 512 p. (In Russ.)
4. Bakshaeva N. A., Verbitsky A. A. Psikhologiya motivatsii studentov = Psychology of student motivation. Litres; 2017. 459 p. (In Russ.)
5. Chirkina S. Ye. Motives of the educational activity of a modern student. Obrazovaniye i samorazvitiye = Education and Self-Development. 2013; 4 (38): 83-89. (In Russ.)
6. Klepikova N. M. Features of motivation of educational activities of students depending on the form of training. Baikal Research Journal. 2019; 10 (2). DOI: 10.17150/2411-6262.2019.10 (2).5 (In Russ.)
7. Belyakova N. V., Romanova A. V., Karpov V. Yu., Ivanov D. A. The study of the motivation of educational activities of students of a social university. Uchenye zapiski universiteta imeni P. F. Lesgaft = Scientific Notes of P. F. Lesgaft University. 2019; 10 (176). (In Russ.)
8. Gordeyeva T. O. Motivation: New approaches, diagnostics. Sibirskij psihologicheskij zhurnal = Siberian Psychological Journal. 2016; 62: 38-53. DOI: 10.17223/17267080/62/4 (In Russ.)
9. Zhukova T. V. Features of psychological readiness for training at a pedagogical university of students with different motivation. Problemy sovremennogo pedagogicheskogo obrazovanija = Problems of Modern Pedagogical Education. 2019; 64-1: 317-320. (In Russ.)
10. Proshkova Z. V. To college after grade 9: Motives of personal and family choice. In: Problemy i puti social’no-jekonomicheskogo razvitija: gorod, region, strana, mir: VIII Mezhdunarodnoj nauchno-prakticheskoj konferencii: sbornik statej = Problems and Ways of Socio-Economic Development: City, Region, Country, World. Collection of articles of the VIII International Scientific and Practical Conference; 2018; St. Petersburg. St. Petersburg: Leningrad State University named after A. S. Pushkin; 2018. p. 11. (In Russ.)
11. Lyashenko M. V. Motivation of educational activities: Basic concepts and problems. Vestnik Juzhno-Ural’skogo gosudarstvennogo universiteta. Seriya “Obrazovaniye. Pedagogicheskiye nauki” = Bulletin of the South Ural State University. Series “Education. Pedagogical Sciences”. 2019; 11 (1): 53-73. DOI: 10.14529/ped190107 (In Russ.)
12. Merzlyakova O. V. TRIZ as a factor in the formation of educational motivation among students of secondary vocational education in the context of the introduction of FSES. Obrazovanie i nauka v sovremennyh uslovijah = Education and Science in Modern Conditions. 2015; 1 (2): 112-114. (In Russ.)
13. Tikhanova Ye. A. The problems of the formation of educational motivation in first-year students in educational institutions of secondary vocational edu-cation. Nauka i obrazovanie: novoe vremja = Science and Education: New Time. 2015; 1 (6): 320-324. (In Russ.)
14. Demakov D. A., Permyakova A. V., Polovnikov L. V. The influence of educational motivation on the professional development of students of secondary vocational education. Problemy sovremennoj nauki i obrazovanija = Problems of Modern Science and Education. 2016; 39 (81): 108-110. (In Russ.)
15. Fedorova O. N. Comparison of the motivational areas of college students and students of other types of educational institutions. Jaroslavskij pedagogicheskij vestnik = Yaroslavl Pedagogical Bulletin. 2014; 2 (3): 31-37. (In Russ.)
16. Muenks K., Wigfield A., Yang J. S., O’Neal C. R. How true is grit? assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement. Journal of Educational Psychology. 2017; 109 (5).
17. Yilmaz E., Şahin M., Turgut M. Variables affecting student motivation based on academic. Publications Journal of Education and Practice. 2017; 8 (12).
18. Marić M., Sakač M. Individual and social factors related to students’ academic achievement and motivation for learning. Suvremena psihologija. 2014; 17 (1): 63-79.
19. Rizkallah E. G., Seitz V. Understanding student motivation: A key to retention in higher education. Scientific Annals of Economics and Business. 2017; 64 (1): 45-57.
20. Sudutkina I. A. Motivatsiya uchebnoy deyatel’nosti studentov srednego professional’nogo obrazovanija = Motivation of educational activities of students of secondary vocational education [Internet]. Saransk State Industrial and Economic College. Saransk; 2015. 2015 [cited 2019 Jun 24]. Available from: http://sgpek.ru/files/lsep/motiv.pdf (In Russ.)
21. Oliveira Í. M., Taveira M. D., Porfeli E. J. Career Preparedness and School Achievement of Portuguese Children: Longitudinal Trend Articulations. Frontiers in Psychology. 2017 Apr 24; 8: 618. DOI: 10.3389/fpsyg.2017.00618
22. Grinshpun S. S. Evaluation of the personal-business potential of students in vocational guidance work. Shkola i proizvodstvo = School and Production. 1994; 6: 11-12. (In Russ.)
23. Khalafyan A. A. STATISTICA 6. Statisticheskiy analiz dannykh = STATISTICA 6. Statistical analysis of data. Moscow: Publishing House Binom-Press; 2008. 512 p. (In Russ.)
24. Alekseeva T. V., Gubina L. V. Technology of training innovative specialists for modern business. Nauchnoe obozrenie: teoriya i practika = Scientific Review: Theory and Practice 2018; 9: 74-79. (In Russ.)
25. Veduta O. V. Features of the formation of professional motivation of students of institutions of secondary vocational education. Professional’noye obrazovaniye v Rossii i za rubezhom = Professional Education in Russia and Abroad. 2018; 1 (29): 63-70. (In Russ.)
Review
For citations:
Gubina L.V., Alekseeva T.V., Strakhov O.A. Analysis of some factors influencing the performance of college students: An example of Computer Science education. The Education and science journal. 2020;22(2):171-196. (In Russ.) https://doi.org/10.17853/1994-5639-2020-2-171-196