In Amsterdam and Beirut, Abdallah has ethnographically researched interactional dynamics between disadvantaged young people, regarding experiences of success, in settings of education, work, sports, and music. He analyzed how focus, mood, and bodily deployment produced shared symbols, emotional contagions, and situated solidarities and moralities.He came to characterize constructive interactions as a main context for young people to experience three components of success: boosts, elevation, and grounding. Combinations of these experiences have important restorative effects for young people who suffer from an abundance of adversity and discouragement. Tensions arise for young people between, on the one hand, their loyalties toward old settings of belonging with their short-term, at times destructive, tendencies and, on the other hand, their success in new settings which demanded of them new types of discipline and commitments. Continued success depends partly on young people’s abilities, but more so on the availability of constructive interaction rituals helping them manage such tensions, without necessarily committing to one loyalty over the other. Next to young people’ s dynamics and processes, Abdallah has focused on the input of NGO professionals and volunteers in such constructive interactions to learn how their involvement can help young people in their struggles for success.The analysis employs concepts of sociological studies of emotions, such as interaction rituals, emotion management, and embodied dispositions to clarify how emotion, experience and energy act as driving forces in young people’s activities and development.
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Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N=101) in comparison to students with other health conditions (N=2465) and students with no health conditions (N=25,077). We applied propensity score weighting to balance outcomes. The research showed that autistic students’ academic success was predictable, and these predictions were more accurate than predictions of their peers’ success. For first-year success, study choice issues were the most important predictors (parallel program and application timing). Issues with participation in pre-education (missingness of grades in pre-educational records) and delays at the beginning of autistic students’ studies (reflected in age) were the most influential predictors for the second-year success and delays in the second and final year of their bachelor’s program. In addition, academic performance (average grades) was the strongest predictor for degree completion in 3 years. These insights can enable universities to develop tailored support for autistic students. Using early warning signals from administrative data, institutions can lower dropout risk and increase degree completion for autistic students.
In this PhD thesis, we aimed to improve understanding of the study progression and success of autistic students in higher education by comparing them to students with other disabilities and students without disabilities. We studied their background and enrollment characteristics, whether barriers in progression existed, how and when possible barriers manifested themselves in their student journey, and how institutions should address these issues. We found autistic students to be different from their peers but not worse as expected based on existing findings. We expect we counterbalanced differences because we studied a large data set spanning seven cohorts and performed propensity score weighting. Most characteristics of autistic students at enrollment were similar to those of other students, but they were older and more often male. They more often followed an irregular path to higher education than students without disabilities. They expected to study full time and spend no time on extracurricular activities or paid work. They expected to need more support and were at a higher risk of comorbidity than students with other disabilities. We found no difficulties with participation in preparatory activities. Over the first bachelor year, the grade point averages (GPAs) of autistic students were most similar to the GPAs of students without disabilities. Credit accumulation was generally similar except for one of seven periods, and dropout rates revealed no differences. The number of failed examinations and no-shows among autistic students was higher at the end of the first semester. Regarding progression and degree completion, we showed that most outcomes (GPAs, dropout rates, resits, credits, and degree completion) were similar in all three groups. Autistic students had more no-shows in the second year than their peers, which affected degree completion after three years. Our analysis of student success prediction clarified what factors predicted their success or lack thereof for each year in their bachelor program. For first-year success, study choice issues were the most important predictors (parallel programs and application timing). Issues with participation in pre-education (absence of grades in pre-educational records) and delays at the beginning of autistic students’ studies (reflected in age) were the most influential predictors of second-year success and delays in the second and final year of their bachelor program. Additionally, academic performance (average grades) was the strongest predictor of degree completion within three years. Our research contributes to increasing equality of opportunities and the development of support in higher education in three ways. First, it provides insights into the extent to which higher education serves the equality of autistic students. Second, it clarifies which differences higher education must accommodate to support the success of autistic students during their student journey. Finally, we used the insights into autistic students’ success to develop a stepped, personalized approach to support their diverse needs and talents, which can be applied using existing offerings.
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Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
“Empowering learners to create a sustainable future” This is the mission of Centre of Expertise Mission-Zero at The Hague University of Applied Sciences (THUAS). The postdoc candidate will expand the existing knowledge on biomimicry, which she teaches and researches, as a strategy to fulfil the mission of Mission-Zero. We know when tackling a design challenge, teams have difficulties sifting through the mass of information they encounter. The candidate aims to recognize the value of systematic biomimicry, leading the way towards the ecosystems services we need tomorrow (Pedersen Zari, 2017). Globally, biomimicry demonstrates strategies contributing to solving global challenges such as Urban Heat Islands (UHI) and human interferences, rethinking how climate and circular challenges are approached. Examples like Eastgate building (Pearce, 2016) have demonstrated successes in the field. While biomimicry offers guidelines and methodology, there is insufficient research on complex problem solving that systems-thinking requires. Our research question: Which factors are needed to help (novice) professionals initiate systems-thinking methods as part of their strategy? A solution should enable them to approach challenges in a systems-thinking manner just like nature does, to regenerate and resume projects. Our focus lies with challenges in two industries with many unsustainable practices and where a sizeable impact is possible: the built environment (Circularity Gap, 2021) and fashion (Joung, 2014). Mission Zero has identified a high demand for Biomimicry in these industries. This critical approach: 1) studies existing biomimetic tools, testing and defining gaps; 2) identifies needs of educators and professionals during and after an inter-disciplinary minor at The Hague University; and, 3) translates findings into shareable best practices through publications of results. Findings will be implemented into tangible engaging tools for educational and professional settings. Knowledge will be inclusive and disseminated to large audiences by focusing on communication through social media and intervention conferences.
