TY - JOUR
T1 - Predictors of student engagement
T2 - the role of universities’ or importance of students’ background?
AU - Karabchuk, Tatiana
AU - Roshchina, Yana
N1 - Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - The study aims to disclose the role of the universities and students’ backgrounds in predicting student engagement. The study uses Monitoring of Education Markets and Organizations (MEMO) of 2015 and 2017, which is hierarchical nationally representative data set of 5,251 undergraduate students nested into 135 universities in Russia. Four indices were developed to measure student engagement based on behavioural approach, namely, class engagement, learning engagement, research engagement, and extracurricular engagement. The mixed-effects multilevel modelling was used to test the hypotheses on university roles and students’ background characteristics. Students’ parental family characteristics did not appear to have a strong influence on student engagement except mothers’ higher education. High school achievements are very important for further student engagement. The findings highlight the importance of motivation and career ambitions of students. Plans to work within the field of study or to pursue further studies to obtain a MA or Ph.D. degree positively associated with student engagement. The results confirmed that the academic environment is the strongest predictor of student engagement. Universities need to develop active teaching practices to improve the academic environment and increase student engagement.
AB - The study aims to disclose the role of the universities and students’ backgrounds in predicting student engagement. The study uses Monitoring of Education Markets and Organizations (MEMO) of 2015 and 2017, which is hierarchical nationally representative data set of 5,251 undergraduate students nested into 135 universities in Russia. Four indices were developed to measure student engagement based on behavioural approach, namely, class engagement, learning engagement, research engagement, and extracurricular engagement. The mixed-effects multilevel modelling was used to test the hypotheses on university roles and students’ background characteristics. Students’ parental family characteristics did not appear to have a strong influence on student engagement except mothers’ higher education. High school achievements are very important for further student engagement. The findings highlight the importance of motivation and career ambitions of students. Plans to work within the field of study or to pursue further studies to obtain a MA or Ph.D. degree positively associated with student engagement. The results confirmed that the academic environment is the strongest predictor of student engagement. Universities need to develop active teaching practices to improve the academic environment and increase student engagement.
KW - Academic environment
KW - Higher education
KW - Learning engagement
KW - Research engagement
KW - Student engagement
UR - http://www.scopus.com/inward/record.url?scp=85124370940&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124370940&partnerID=8YFLogxK
U2 - 10.1080/21568235.2022.2035240
DO - 10.1080/21568235.2022.2035240
M3 - Article
AN - SCOPUS:85124370940
SN - 2156-8235
JO - European Journal of Higher Education
JF - European Journal of Higher Education
ER -