Dataset Information

Understanding the Multidimensional Nature of Student Engagement During the First Year of Higher Education.

ABSTRACT: In the description of the complex relationship between individual students and their education context, as well as understanding of questions related to progression, retention or dropouts in higher education, student engagement is considered the primary construct. In particular, the significance of the first year of higher education in terms of engagement is decisive. We aim at developing a multidimensional conceptualization of engagement and utilized network analysis. Data were collected as part of the annual Student Barometer survey in Finland during the 2012-2013 academic year, and we gathered a nationally representative sample (n = 2422) of first-year students in different disciplines at 13 Finnish universities. Network analysis confirmed the multidimensional process model of engagement and its six dimensions. The central dimensions of engagement are identity and sense of belonging, which develop in the interplay between individual and collective dimensions as a long-term process. Additional network analyses with covariates identified positive and negative factors that affect engagement. The study adds new perspectives to existing knowledge of engagement. It is important to understand the process-like nature of engagement and make visible factors affecting the process. Based on these findings, we provide novel practical recommendations for interventions for university students who struggle with engagement during their first year.

SUBMITTER: Korhonen V

PROVIDER: S-EPMC6524002 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundTo date, studies that have investigated the bonds between students and their institution have emphasized the importance of student-staff relationships. Measuring the quality of those relationships (i.e., relationship quality) appears to help with investigating the relational ties students have with their higher education institutions. Growing interest has arisen in further investigating relationship quality in higher education, as it might predict students' involvement with the institution (e.g., student engagement and student loyalty). So far, most studies have used a cross-sectional design, so that causality could not be determined.AimsThe aim of this longitudinal study was twofold. First, we investigated the temporal ordering of the relation between the relationship quality dimensions of trust (in benevolence and honesty) and affect (satisfaction, affective commitment, and affective conflict). Second, we examined the ordering of the paths between relationship quality, student engagement, and student loyalty. Our objectives were to gain a deeper understanding of the relationship quality construct in higher education and its later outcomes.SampleParticipants (N = 1649) were students from three Dutch higher education institutions who were studying in a technology economics or social sciences program.MethodsLongitudinal data from two time points were used to evaluate two types of cross-lagged panel models. In the first analysis, we could not assume measurement invariance for affective conflict over time. Therefore, we tested an alternative model without affective conflict, using the latent variables of trust and affect, the student engagement dimensions and student loyalty. In the second type of model, we investigated the manifest variables of relationship quality, student engagement, and student loyalty. The hypotheses were tested by evaluating simultaneous comparisons between estimates.ResultsResults indicated that the relation between relationship quality at Time 1 with student engagement and loyalty at Time 2 was stronger than the reverse ordering in the first model. In the second model, results indicated that cross-lagged relations between trust in benevolence and trust in honesty at Time 1 and affective commitment, affective conflict, and satisfaction at Time 2 were more likely than the reverse ordering. Furthermore, cross-lagged relations from relationship quality at Time 1 to student engagement and student loyalty at Time 2 also supported our hypothesis.ConclusionsThis study contributes to the existing higher education literature, indicating that students' trust in the quality of their relationship with faculty/staff is essential for developing students' affective commitment and satisfaction and for avoiding conflict over time. Second, relationship quality factors positively influence students' engagement in their studies and their loyalty towards the institution. A relational approach to establishing (long-lasting) bonds with students appears to be fruitful as an approach for educational psychologists and for practitioners' guidance and strategies. Recommendations are made for future research to further examine relationship quality in higher education in Europe and beyond.

Dataset Information

Understanding the Multidimensional Nature of Student Engagement During the First Year of Higher Education.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets