A decline in both student well-being and engagement were reported during the COVID-pandemic. Stressors and internal energy sources can co-exist or be both absent, which might cohere with different student needs. This study aimed to develop student profiles on emotional exhaustion and engagement, as well as examine how profiles relate to student participation, academic performance, and overall well-being. Survey-data from 1,460 Dutch higher education students were analyzed and resulted in a quadrant model containing four student profiles on engagement and emotional exhaustion scores. Semi-structured interviews with 13 students and 10 teaching staff members were conducted to validate and further describe the student profiles. The majority of the survey participants were disengaged-exhausted (48%) followed by engaged-exhausted students (29%). Overall, the engagedenergized students performed best academically and had the highest levels of well-being and participation, although engaged-exhausted students were more active in extracurricular activities. The engaged exhausted students also experienced the most pressure to succeed. The qualitative validation of the student profiles demonstrates that students and teachers recognize and associate the profiles with themselves or other students. Changes in the profiles are attributed to internal and external factors, suggesting that they are not fixed but can be influenced by various factors. The practical relevance of the quadrant model is acknowledged by students and teachers and they shared experiences and tips, with potential applications in recognizing students’ well-being and providing appropriate support. This study enriches our grasp of student engagement and well-being in higher education, providing valuable insights for educational practices.
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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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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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In a rapidly developing labor market, in which some parts of jobs disappear and new parts appear due to technological developments, companies are struggling with defining future-proof job qualifications and describing job profiles that fit the organization’s needs. This is even more applicable to smaller companies with new types of work because they often grow rapidly and cannot hire graduates from existing study programs. In this research project, we undertook in-depth, qualitative research into the five roles of a new profession: social media architect. It has become clear which 21st century skills and motivations are important per role and, above all, how they differ in subcategory and are interpreted by a full-service team in their working methods, in a labor market context, and in the talents of the professional themselves. In a workshop, these “skills” were supplemented through a design-based approach and visualized per team role in flexibly applicable recruitment cards. This research project serves as an example of how to co-create innovative job profiles for the changing labor market. Ellen Sjoer, Petra Biemans. “A design-based (pre)recruitment approach for new professions: defining futureproof job profiles.” Információs Társadalom XX, no. 2 (2020): 84–100. https://dx.doi.org/10.22503/inftars.XX.2020.2.6
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Agency (stuurkracht) betreft de mogelijkheid om doelbewust en reflectief eigen gedrag, gedachten en de omgeving te beïnvloeden (Bandura, 2018). Het is een sleutelcapaciteit voor een leven lang leren (Biesta & Tedder, 2007). In het hoger onderwijs kunnen we studenten hierop voorbereiden door hen te laten oefenen met het reguleren en sturen van hun leren (OECD, 2018). Onderwijsinnovaties spelen hierop in met open en flexibele leeromgevingen, maar niet alle studenten kunnen omgaan met autonomie en hun leren sturen (De Bruin & Verkoeijen, 2022; Van Casteren et al., 2021). Doel van dit onderzoek is om zicht te krijgen op factoren die student agency beïnvloeden om interventies te ontwikkelen die student agency in de leeromgeving stimuleren.
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This study focuses on students’ approaches to learning, particularly in innovative learning environments. A person-oriented research perspective was chosen to search for nuances and details that add to existing knowledge on secondary students’ learning. The relation between students’ goal orientations, learning strategies, and different learning environments was investigated via questionnaires and interviews. The questionnaire study revealed four profiles of 673 students’ (meta-)cognitive learning strategies. Differences in student learning were found between students of an innovative school and students of regular schools, indicating that learning strategies are elicited by the learning environments students are confronted with. The interview study with 20 students from the innovative school illustrated their learning in learning environments typical for this school. Results revealed how students from different profiles differed in their goal orientations and learning strategies and that these differences were related to students’ need for teacher support when learning. The results of this study provide qualitative and quantitative insight in (enhancing) secondary students’ learning, doing justice to the learners as persons and individual differences.
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Voor dit boekje ‘(Her)ken je student!’ hebben studenten en medewerkers hun verhaal verteld over vier verschillende studenttypes, ingedeeld op basis van bevlogenheid en emotionele uitputting. Deze vier types hebben hun eigen karaktereigenschappen en behoeftes. Natuurlijk is iedere student uniek en is geen student precies hetzelfde. Maar dat maakt het ook ongrijpbaar. Want hoe ga je dan om met alle verschillende behoeftes van de honderdduizenden studenten die alleen al in Nederland studeren? De vier herkenbare studenttypes in dit boekje geven richting en bewustwording voor zowel studenten als docenten. Daarnaast worden in dit boekje praktische handvatten aangeboden. Zo kan je als student zelf testen hoe het staat met je eigen bevlogenheid en uitputting. En docenten kunnen de gesprekstips gebruiken om te onderzoeken wat de behoeftes zijn van de student en wat nodig is om deze te kunnen vervullen.
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The purpose of this study was to provide insight into the interplay between student perceptions of competence-based assessment and student self-efficacy, and how this influences student learning outcomes. Results reveal that student perceptions of the form authenticity aspect and the quality feedback aspect of assessment do predict student self-efficacy, confirming the role of mastery experiences and social persuasions in enhancing student self-efficacy as stated by social cognitive theory. Findings do not confirm mastery experiences as being a stronger source of self-efficacy information than social persuasions. Study results confirm the predictive role of students’ self-efficacy on their competence outcomes. Mediation analysis results indicate that student’s perceptions of assessment have an indirect effect on student’s competence evaluation outcomes through student’s self-efficacy. Study findings highlight which assessment characteristics, positively influencing students’ learning, contribute to the effectiveness of competence-based education. Limitations of the study and directions for future research are indicated.
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The corona pandemic has forced higher education (HE) institutes to transition to online learning, with subsequent implications for student wellbeing. Aims: This study explored influences on student wellbeing throughout the first wave of the corona crisis in the Netherlands by testing serial mediation models of the relationships between perceived academic stress, depression, resilience, and HE support.
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The purpose of this study was to provide more insight into how the physical education (PE) context can be better tailored to the diverse motivational demands of secondary school students. Therefore, we examined how different constructs of student motivation in the context of PE combine into distinct motivational profiles, aiming to unveil motivational similarities and differences between students’ PE experiences. Participants were 2,562 Dutch secondary school students, aged 12–18, from 24 different schools. Students responded to questionnaires assessing their perception of psychological need satisfaction and frustration, and perceived mastery and performance climate in PE. In order to interpret the emerging profiles additional variables were assessed (i.e. demographic, motivational and PE-related variables). Two-step cluster analysis identified three meaningful profiles labelled as negative perceivers, moderate perceivers and positive perceivers. These three profiles differed significantly with regard to perceived psychological need satisfaction and frustration and their perception of the motivational climate. This study demonstrates that students can be grouped in distinct profiles based on their perceptions of the motivational PE environment. Consequently, the insights obtained could assist PE teachers in designing instructional strategies that target students’ differential motivational needs.
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