In dit white paper wordt ingegaan op het begrip student engagement. Waarom nu inzetten op engagement? Wat levert dat op? Is student engagement te meten? En is er een blauwdruk voor HO instellingen?
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Vergelijkende Europese studie in opdracht van Kees van Aken, toenmalig directeur van de opleiding Social Work i.o. van de Hogeschool Zuyd, naar welke verschillende varianten er mogelijk zijn als er gesproken wordt over een Internationale Bachelor Social Work - Maastricht. Op welke manieren zijn er in Europa reeds internationale bachelors zijn ontwikkeld. Het onderzoek moet een overzicht van enkele blauwdrukken van een Internationale Bachelor Social Work opleveren, om mede op basis daarvan een keuze te maken voor een (eventueel meerdere) voor Hogeschool Zuyd wenselijke variant(en) daarvan in Maastricht. Er is vergelijkend Europees onderzoek gedaan naar de verschillende filosofieën en organisatievormen van curricula International Social Work zoals die op verschillende Hogescholen en Universiteiten in Europa functioneren. Met name zijn “good practice” ervaringen onderzocht en met elkaar vergeleken, om op basis daarvan een aantal varianten helder te krijgen voor de opdrachtgever.
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In een veranderende arbeidsmarkt is het noodzakelijk om je als professional wendbaar op te stellen, in te spelen op nieuwe rollen en je loopbaan doelbewust vorm te geven. In het hoger beroepsonderwijs sluiten steeds meer onderwijsinnovaties hierop aan met leeromgevingen, waarin van studenten verwacht wordt dat ze hun leerproces autonoom en bewust kunnen construeren. De vraag is hoe student agency in een dergelijke onderwijsleeromgeving wordt gestimuleerd. presentatie Onderwijs Research Dagen
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At the beginning of May 2020 all Inholland-students received an invitation to participate in a large international study on the corona crisis impact on student life and studies. This poster, presented by the Study Success Research Group, covers relevant results divided in four themes. These themes are student wellbeing, student engagement, satisfaction and the coronavirus. To determine student wellbeing we asked students about their feelings and contacts. Student engagement is phrased in time allocation and engagement. We also wanted to find out how satisfied students were with things like ICT facilities, quality of education and provision of information. Of course we asked students about (not) having corona and adhering to the measures.
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Een bezinning op de identiteit en de positie van het Instituut voor Social Work van Hogeschool Utrecht.
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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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Learning is all about feedback. Runners, for example, use apps like the RunKeeper. Research shows that apps like that enhance engagement and results. And people think it is fun. The essence being that the behavior of the runner is tracked and communicated back to the runner in a dashboard. We wondered if you can reach the same positive effect if you had a dashboard for Study-behaviour. For students. And what should you measure, track and communicate? We wondered if we could translate the Quantified Self Movement into a Quantified Student. So, together with students, professors and companies we started designing & building Quantified Student Apps. Apps that were measuring all kinds of study-behaviour related data. Things like Time On Campus, Time Online, Sleep, Exercise, Galvanic Skin Response, Study Results and so on. We developed tools to create study – information and prototyped the Apps with groups of student. At the same time we created a Big Data Lake and did a lot of Privacy research. The Big Difference between the Quantified Student Program and Learning Analytics is that we only present the data to the student. It is his/her data! It is his/her decision to act on it or not. The Quantified Student Apps are designed as a Big Mother never a Big Brother. The project has just started. But we already designed, created and learned a lot. 1. We designed and build for groups of prototypes for Study behavior Apps: a. Apps that measure sleep & exercise and compare it to study results, like MyRhytm; b. Apps that measure study hours and compare it to study results, like Nomi; c. Apps that measure group behavior and signal problems, like Groupmotion; d. Apps that measure on campus time and compare it with peers, like workhorse; 2. We researched student fysics to see if we could find his personal Cup-A-Soup-Moment (meaning, can we find by looking at his/her biometrics when the concentration levels dip?); 3. We created a Big Data lake with student data and Open Data and are looking for correlation and causality there. We already found some interesting patterns. In doing so we learned a lot. We learned it is often hard to acquire the right data. It is hard to create and App or a solution that is presenting the data in the right way and presents it in a form of actionable information. We learned that health trackers are still very inprecise. We learned about (and solved some) challenges surrounding privacy. Next year (2017) we will scale the most promising prototype, measure the effects, start a new researchproject and continu working on our data lake. Things will be interesting, and we will blog about it on www.quantifiedstudent.nl.
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How are the students of Inholland University of Applied Sciences doing? How do students assess their health and how engaged are they? What are the biggest stressors during their time as a student and what stress reactions do they experience? How resilient and optimistic are the students, and from whom do they get the necessary support? Based on the Student WellBeing Model, this fact sheet shows the most important results of the Student Well-Being Study 2017–2018. The questionnaire was completed by students in the classroom (n=407).
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