TitleDefining Student Success as a Multidimensional Concept: a Scoping Review (additional files)DescriptionStudent success is a critically important concept in educational assessment and research. Yet, a universal definition of the concept has not been established. A comprehensive scoping review was conducted to define student success and take inventory of associated factors. This page contains files pertaining to the publication that presents the findings.
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The research on student attrition, retention and success in the Netherlands is highly influenced by Tinto’s integration theory. In this paper, as part of my broader PhD research, I propose adjusting this theory to achieve a better fit with the present generation of students in the developed world. By measuring the best predictive variables of Tinto’s theory at an ordinal level it also fits better with the evaluation forms used in Dutch Institutes of Higher education. In contemporary society social media plays a crucial role and thus also in the lives of students. Earlier research has been inconclusive about the effectof social media on students’ success, however, as it has focused on the quantitative rather than the qualitative aspects of social media use. In line with the above-mentioned pedagogical theory and using insights from recent studies on students’ social media use, I test the influence of various factors as well as the use of social media on student success. This paper provides insight into the potential uses of social media in education – especially by students outside of the classroom.
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In this paper, the success of students during their first year at the Amsterdam University of Applied Sciences at the faculty of Communication and Creative Business (formerly called Media, Information and Communication) will be compared prior to Covid-19 and during Covid-19 in the first year. With the purpose to determine the influence of the transition from offline to online education on student success. Student success is defined in two ways. First by the general average grade point (GPA) of all the exams in this first year, which in the Netherlands is the preliminary examination (propedeuse diploma issued after the first year of studies in the Netherlands). Second, the time it takes to pass all first-year exams and earn the propedeuse (diploma of the preliminary examination). Furthermore, the mandatory student choice test (SCT), taken prior to the entrance of the University, is compared with the success of the students and examined on its predictive value. This will ultimately provide insight in the implications of a year of emergency remote teaching and enhance the knowledge about influences of online education upon student success in higher education.
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Student success is a critically important concept in educational assessment and research, yet a comprehensive synthesis of its defining elements remains absent. To address this gap, a scoping review was conducted, identifying 274 peer-reviewed studies published between 2011 and 2022. From these studies, data pertaining to conceptualizations of student success and related factors were extracted and analyzed using inductive coding to uncover key themes and recurring patterns. The review culminated in a comprehensive definition of student success, encompassing five core dimensions: persistence and academic progress, academic performance, attainment of learning objectives, satisfaction, and career success. Additionally, four distinct categories of factors related to student success were identified, including background and pre-college experiences, psychosocial capital, educational experiences, and institutional factors. These findings provide grounds for moving beyond traditional narrow interpretations of student success by acknowledging its multidimensional nature. This understanding of student success’ multidimensionality is essential to equip educational institutions in better preparing students to navigate the complexities of contemporary societal challenges, leading to the development of more well-rounded and successful graduates.
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As part of my PhD research, I investigate the influence of the use of social media by first year students in higher education. In this research I have lessened the amount of variables, from Tinto’s theory, by including only the best-proven predictive variables, based on previous studies. Hereby, avoiding the capitalization of chance and a more easy to use model for teachers and management has been built. The latent variable ‘satisfaction’ is constructed by using just a fraction of the original manifest variables and tested using principal component analysis to proof the model can be simplified. Furthermore, I enriched the model with the use of social media, in particular Facebook, to better suit students’ contemporary society in the developed world. With principal analysis on Facebook usage, I measured the purpose of Facebook use (information, education, social and leisure) and the use of different pages amongst students. This provided different integration/engagement components, which are also included in the simplified model. For the principal component-analysis, Cronbach’s alpha and Guttman’s lambda-2 showed internal consistency and reliability. SPSS AMOS was used for testing the fit of the model and showed reasonable values for the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). This study will compare different background variables with the model to uncover the possible influences upon student success, engagement/satisfaction and social media use. Ultimately this paper will provide a better insight into what kind of influence social media can have upon student success.
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Research on the success of students in higher education in the Netherlands is highly influenced by Tinto’s integration theory. This paper is part of a broader PhD research, in which I propose adjusting this theory to achieve a better fit with the present generation of students in the developed world. The paper focuses on a limited amount of factors from Tinto’s theory and measures these variables at an ordinal level for a better fit with the evaluation forms used in Dutch Institutes of Higher education. In line with the above-mentioned pedagogical theory and using insights from recent studies on students’ social media use, I also test the influence of the use of social media (Facebook) on student success.The amount of effort a student makes, the subjected level of the courses and the expected progress are measured as well as use of Facebook by students. All are statistically analyzed and compared with the progress of the students; by grade points and the amount of time they need to pass all exams.This paper provides insight into the potential use of a simplified version of the integration theory and the role of social media in education – especially by students outside of the classroom.
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As part of my PhD research, I investigate the factors of student success and the influence of the use of social media by first year students in higher education. For this I use the insights provided by the highly influential and leading integration theory of Tinto and diminished the amount of variables by only using the best predictive ones. Hereby, avoiding the capitalization of chance and establishing a more easy to use model for teachers and management. Furthermore, I enriched the model with the use of social media, in particular Facebook, to better suit students’ contemporary society in the developed world. Principal component analysis on Facebook usage provided different integration/engagement components, which I coined peer-engagement and knowledge engagement. Both consisted of various purposes of Facebook use (information, education, social and leisure) and the use of different pages amongst students. To uncover if these latent variables play a significant role in student success or if Facebook is a multi-distracting platform, two models were compared using structural equation modeling with SPSS AMOS; one with and one without the peer-, and knowledge engagement variables. The fit of both models are compared using the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA). In addition, the direct influence and indirect influence of all variables are compared to provide a better insight into what kind of influence social media can have upon student success.
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Obtaining credits, studying for exams, attending classes, engaging with fellow students and lecturers, living alone or with others, and taking part in extra-curricular activities: there is a fair amount for students in higher education to take in. There are also numerous external factors — such as the COVID-19 pandemic and the changing labour and housing market — that affect students. However, students experience these situations differently and deal with them in different ways. How can we ensure that, notwithstanding these stress factors and differences, as many students as possible become and remain engaged and energised? Happier students tend to be more engaged and generally achieve better study results.1 That is why student well-being is also a widely researched and important topic. The search is on for measures to promote student well-being and success. Having a clear idea of how things are going for a student and what they need is a starting point. This booklet helps readers to identify different student profiles and understand what is needed to improve student success. We zoom in on two key aspects of student success: engagement and emotional exhaustion.
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Introduction Student success is positively linked to engagement, but negatively linked to emotional exhaustion. Though both constructs have been conceptualized as opposites previously, we hypothesize that students can demonstrate high or low engagement and emotional exhaustion simultaneously. We used quantitative and qualitative data to identify the existence of four student profiles based on engagement and exhaustion scores. Furthermore, we studied how profiles associate to study behaviour, wellbeing and academic achievement, and what risks, protective factors and support requirements students and teachers identify for these profiles. Methods The Student Wellbeing Monitor 2021, developed by Inholland University of Applied Sciences, was used to identify profiles using quadrant analyses based on high and low levels of engagement and emotional exhaustion (n= 1460). Correlation analyses assessed profile specific differences on study behaviours, academic delay, and wellbeing. Semi-structured interviews with students and teachers are currently in progress to further explore the profiles, to identify early signals, and to inspect support requirements. Results The quadrant analysis revealed four profiles: low engagement and low exhaustion (energised-disengaged; 9%), high engagement and low exhaustion (energised-engaged; 15%), low engagement and high exhaustion (exhausted-disengaged; 48%), and high engagement and high exhaustion (exhausted-engaged; 29%). Overall, engaged students demonstrated more active study behaviours and more social connections and interactions with fellow students and teachers. The exhausted students scored higher on depressive symptoms and stress. The exhausted-engaged students reported the highest levels of performance pressure, while the energised-disengaged students had the lowest levels of performance pressure. So far, students and teachers recognise the profiles and have suggested several support recommendations for each profile. Discussion The results show that students can be engaged but at the same time are exhausting themselves. A person-oriented mixed-methods approach helps students and teachers gain awareness of the diversity and needs of students, and improve wellbeing and student success.
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At the beginning of May 2020 Inholland students received an invitation to participate in a large international study on the corona crisis impact on student life and studies. Almost 3000 students participated. This factsheet shows data on their lifestyleand their resilience. But also on their worries about corona, their knowledge of it and their opinion on the information supply.
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