Factors of Attrition among Computer Science and Engineering Undergraduates in Russia

Evgeniia Shmeleva and Isak Froumin
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Evgeniia Shmeleva: http://www.hse.ru/en/org/persons/46755299
Isak Froumin: http://www.hse.ru/en/org/persons/372992

Voprosy obrazovaniya / Educational Studies Moscow, 2020, issue 3, 110-136

Abstract: Evgeniia Shmeleva - Research Fellow, Center of Sociology of Higher Education, Institute of Education, National Research University Higher School of Economics. E-mail: eshmeleva@hse.ruIsak Froumin - Academic Supervisor, Institute of Education, National Research University Higher School of Economics. E-mail: ifroumin@hse.ruAddress: 20 Myasnitskaya Str., 101000 Moscow, Russian Federation.STEM education has been a priority in present-day Russia, nearly half of all the government-funded places in higher education being provided in science and engineering majors. At the same time, attrition rates have been the highest in this domain. The present study aims to estimate the attrition rates in computer science and engineering education at the beginning of and midway through instruction and to determine the factors associated with college dropouts. Our research uses the results of a survey of over 4,000 computer science and engineering students from 34 Russian colleges, composing a representative national sample, and administrative data on student withdrawal. Vince Tinto's student departure theory is used to analyze the determinants of student attrition during the first three semesters. According to Tinto's theory, social and academic integration are critically important to the retention and success of students in the chosen university. Our findings confirm the key role of academic integration (specifically class attendance and active engagement with teacher) in preventing dropouts but refute the hypothesis of social integration significance. Students with low USE scores in mathematics and those mismatched with their selected major are at higher risk of dropping out. No evidence has been found to prove the hypothesis of dropout rates being higher in more selective institutions. Recommendations for universities for reducing college attrition rates are discussed in the final part of the paper.

Keywords: higher education; college dropout; college attrition; student withdrawal; academic integration; social integration; college institutional characteristics (search for similar items in EconPapers)
Date: 2020
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