Exploration of gender-determined differences in the level of university students’ diligence
Introduction. The article examines how students’ gender determines their diligence in studying core and non-core disciplines, as well as how the level of diligence changes during the transition from the secondary school to the university. The purpose of this article is to identify the level of gender-determined first-year students’ diligence, based on their self-assessment.
Materials and Methods. The research follows the structural-functional and aspect-based approaches. In order to achieve the purpose of the research, the authors used theoretical (analysis, synthesis, generalization and systematization of scientific publications) and empirical (questionnaire) methods. Statistical data processing was carried out using the Student's t-test and correlation analysis methods. The experimental research consisting of two stages was conducted at Tyumen State University. At the first stage, the sample consisted of 232 students; at the second stage it included 221 first-year students of various fields of study. The total sample was 453 people, including 242 men and 211 women.
Results. It was revealed that the diligence of female students statistically significantly exceeds the diligence of male students in studying core and non-core disciplines at the secondary school, as well as in studying non-core disciplines in the first year of the university. Statistically significant differences in the level of diligence in studying core disciplines at the university between male and female students were not revealed. It is shown that during the transition from the secondary school to the university, diligence in core disciplines does not significantly change in male students, while a small but statistically significant decrease in diligence was recorded in female students. In the first year of university, diligence in non-core disciplines increases statistically significantly in both male and female students. It is established that there are weak correlations between the level of diligence in core disciplines at the secondary school and at the university, in non-core disciplines at the secondary school and at the university, as well as in core and non-core disciplines, regardless of the student’s gender. The reasons for weak correlations require additional study. The conclusions about the influence of various factors on the academic performance of students (determined by the student’s gender) made by the authors at the first stage of the study are confirmed.
Conclusions. Based on the self-assessment of first-year university students, statistically significant changes in the level of their diligence during the transition from the secondary school to the university were revealed, as well as statistically significant differences in the level of diligence in studying core and non-core disciplines determined by the student’s gender.
Academic performance; Factors of academic performance; Level of diligence; Core disciplines; Non-core disciplines; Secondary school; University
- Živčić-Bećirević I., Smojver-Ažić S., Martinac Dorčić T. Predictors of university students’ academic achievement: A prospective study. Drustvena Istrazivanja: Journal for General Social Issues, 2017, vol. 26 (4), pp. 457–476. DOI: https://doi.org/10.5559/di.26.4.01
- García y García B. E. To what factors do university students attribute their academic success? Journal on Efficiency and Responsibility in Education and Science, 2021, vol. 14 (1), pp. 1–8. DOI: https://doi.org/10.7160/eriesj.2021.140101
- Shlyapnikov V. N. Relationship between volitional regulation and academic achievements in university students. Psychological Science and Education, 2021, vol. 26 (1), pp. 66–75. (In Russian) DOI: https://doi.org/10.17759/pse.2021260104 URL: https://www.elibrary.ru/item.asp?id=44814898
- Alhadabi A., Karpinski A. C. Grit, self-efficacy, achievement orientation goals, and academic performance in university students. International Journal of Adolescence and Youth, 2020, vol. 25 (1), pp. 519–535. DOI: https://doi.org/10.1080/02673843.2019.1679202
- Moradi F., Amiripour P. The prediction of the students' academic underachievement in mathematics using the DEA model: A developing country case study. European Journal of Contemporary Education, 2017, vol. 6 (3), pp. 432–447. DOI: https://doi.org/10.13187/ejced.2017.3.432
- González-Ramírez T., García-Hernández A. Student and classroom factors associated with engagement and academic achievement in discrete mathematics. Revista Complutense de Educacion, 2020, vol. 31 (2), pp. 195–206. DOI: https://doi.org/10.5209/rced.62011
- Freiberg-Hoffmann A., Stover J. B., Donis N. Influence of learning strategies on learning styles: Their impact on academic achievement of college students from Buenos aires. Problems of Education in the 21st Century, 2017, vol. 75 (1), pp. 6–18. DOI: https://doi.org/10.33225/pec/17.75.06
- Krekhovets E. V., Poldin O. V. Students’ social media: Formation factors and influence on studies. Educational Studies Moscow, 2013, no. 4, pp. 127–138. (In Russian) DOI: https://doi.org/10.17323/1814-9545-2013-4-127-144 URL: https://www.elibrary.ru/item.asp?id=21204729
- Valeeva D. R., Dokuka S. V., Yudkevich M. M. How academic failures break up friendship ties: Social networks and retakes. Educational Studies Moscow, 2017, no. 1, pp. 8–24. (In Russian) DOI: https://doi.org/10.17323/1814-9545-2017-1-8-24 URL: https://www.elibrary.ru/item.asp?id=28879306
10. Brink H. W., Loomans M.G. L. C., Mobach M. P., Kort H. S. M. Classrooms' indoor environmental conditions affecting the academic achievement of students and teachers in higher education: A systematic literature review. Indoor Air, 2021, vol. 31 (2), pp. 405–425. DOI: https://doi.org/10.1111/ina.12745
11. Vaulin S. D., Volkova M. A., Shchurov I. A. Pedagogical assistance to students of the university’s technical directions in enhancing the success of educational activities. Bulletin of the South Ural State University. Series Education. Educational Sciences, 2019, vol. 11 (1), pp. 74–86. (In Russian) DOI: https://doi.org/10.14529/ped190108 URL: https://www.elibrary.ru/item.asp?id=37018422
12. Nurieva N. S., Nikolaeva N. N. Predominance of intrinsic motivation as a predictor of effective foreign languages acquisition in higher education. Science for Education Today, 2020, vol. 10 (4), pp. 27–43. (In Russian) DOI: http://dx.doi.org/10.15293/2658-6762.2004.02 URL: https://www.elibrary.ru/item.asp?id=43933902
13. Sanger Ph. A., Ivanov V. G., Gorodetskaya I. M. Cross-cultural interdisciplinary study of learning motivation of engineering students in Russia and the USA. Engineering Education, 2016, no. 20, pp. 224–230. (In Russian) URL: https://www.elibrary.ru/item.asp?id=27723197
14. Hidajat H. G., Hanurawan F., Chusniyah T., Rahmawati H. Why i'm bored in learning? Exploration of students' academic motivation. International Journal of Instruction, 2020, vol. 13 (3), pp. 119–136. DOI: https://doi.org/10.29333/iji.2020.1339a
15. Sharmin V. G., Sharmina T. N., Sharmin D. V. Identifying the degree of influence of various factors on students’ academic performance based on their self-assessment, taking into account students’ gender. Science for Education Today, 2022, vol. 12 (3), pp. 92–114. (In Russian) DOI: http://dx.doi.org/10.15293/2658-6762.2203.05 URL: https://elibrary.ru/item.asp?id=48762162
16. Berisha N. S., Novikov A. L., Novikova I. A., Shlyakhta D. A. Individual and personal factors for successful learning of a foreign language by linguistics students. Izvestiya of Saratov University. New Series. Series: Educational Acmeology. Developmental Psychology, 2018, vol. 7 (1), pp. 4–15. (In Russian) DOI: https://doi.org/10.18500/2304-9790-2018-7-1-4-15 URL: https://elibrary.ru/item.asp?id=32542286
17. Palmen L., Vorstenbosch M., Tanck E., Kooloos J. What is more effective: A daily or a weekly formative test? Perspectives on Medical Education, 2015, vol. 4 (2), pp. 73–78. DOI: https://doi.org/10.1007/s40037-015-0178-8
18. Astafeva L. S. The effectiveness of the scientific research activities during the educational process of an institution of higher education. RUDN Journal of Psychology and Pedagogics, 2004, no. 2, pp. 270–277. (In Russian) URL: https://elibrary.ru/item.asp?id=9926429
19. Barber M., Donnelly K., Rizvi S. Oceans of innovation. The Atlantic, the Pacific, global leadership and the future of education. Educational Studies. Moscow, 2012, no. 4, pp. 109–186. (In Russian) URL: https://elibrary.ru/item.asp?id=18797916
20. Boman B. Vietnam’s exceptional educational achievement: A thematic review of the emerging literature. Discover Education, 2022, no. 1, pp. 14. DOI: https://doi.org/10.1007/s44217-022-00014-x
21. Akhmetvalieva M. G., Mergenova Zh. M. Formation of students' responsibility for learning: Module and directions of education of the value system. MCU Journal of Pedagogy and Psychology, 2021, no. 3, pp. 95–108. (In Russian) URL: https://elibrary.ru/item.asp?id=46683204
22. Talbiyeva B. I. Individually-typical features of organization of students. RUDN Journal of Psychology and Pedagogics, 2011, no. 1, pp. 83–87. (In Russian) URL: https://elibrary.ru/item.asp?id=15616860
23. Anisimova Yu. N., Shlyakhta N. F. Psychological features of diligence in students. RUDN Journal of Psychology and Pedagogics, 2012, no. 3, pp. 93–97. (In Russian) URL: https://elibrary.ru/item.asp?id=17928895
24. Anisimova Yu. N., Kameneva G. N. Psychological features of diligence at young men and girls of teenage and youthful age. RUDN Journal of Psychology and Pedagogics, 2010, no. 2, pp. 27–31. (In Russian) URL: https://elibrary.ru/item.asp?id=15114472
25. Kameneva G. N., Rushina M. A., Anisimova Yu. N. Specifics of relationships of diligence variables and socio-psychological adaptation in international and Russian students. RUDN Journal of Psychology and Pedagogics, 2014, no. 3, pp. 71–77. (In Russian) URL: https://elibrary.ru/item.asp?id=21970428
26. Van Houtte M., Demanet J., Stevens P. A. J. Curriculum tracking and teacher evaluations of individual students: Selection, adjustment or labeling? Social Psychology of Education, 2013, vol. 16 (3), pp. 329–352. DOI: https://doi.org/10.1007/s11218-013-9216-8
27. Rytkönen H., Parpala A., Lindblom-Ylänne S., Virtanen V., Postareff L.Factors affecting bioscience students’ academic achievement. Instructional Science, 2012, vol. 40 (2), pp. 241–256. DOI: https://doi.org/10.1007/s11251-011-9176-3
28. Spelt E. J. H., Biemans H. J. A., Tobi H., Luning P. A., Mulder M. Teaching and learning in interdisciplinary higher education: A systematic review. Educational Psychology Review, 2009, vol. 21 (4), pp. 365–378. DOI: https://doi.org/10.1007/s10648-009-9113-z
29. Spielmann J., Yoon H. J. R., Ayoub M., Chen Y., Eckland N. S., Trautwein U., Zheng A., Roberts B. W. An in-depth review of conscientiousness and educational issues. Educational Psychology Review, 2022, vol. 34 (4), pp. 2745–2781. DOI: https://doi.org/10.1007/s10648-022-09693-2
30. Pérez-González J. C., Filella G., Soldevila A., Faiad Y., Sanchez-Ruiz M. J. Integrating self-regulated learning and individual differences in the prediction of university academic achievement across a three-year-long degree. Metacognition and Learning, 2022, vol. 17 (3), pp. 1141–1165. DOI: https://doi.org/10.1007/s11409-022-09315-w
31. Händel M., de Bruin A. B. H., Dresel M. Individual differences in local and global metacognitive judgments. Metacognition and Learning, 2020, vol. 15 (1), pp. 51–75. DOI: https://doi.org/10.1007/s11409-020-09220-0
32. Smiderle R., Rigo S. J., Marques L. B., de Miranda Coelho J. A. P., Jaques P. A. The impact of gamification on students’ learning, engagement and behavior based on their personality traits. Smart Learning Environments, 2020, vol. 7 (1), pp. 3. DOI: https://doi.org/10.1186/s40561-019-0098-x