Helen Kopnina explains how some pivotal events in her personal life have led to the development of an appreciation of Nature. This article also reflects on whether the love of Nature or care for the environment is learned or inherited. https://www.ecologicalcitizen.net/article.php?t=ecocentrism-personal-story LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Voortdurende maatschappelijke veranderingen en uitdagingen vragen om samenwerking en een leven lang ontwikkelen. Vaak gebeurt dit in learning communities (innovatieve leerwerkomgevingen) waar organisaties grensoverstijgend samenwerken aan complexe vraagstukken. Bruggenbouwers (brokers) hebben een sleutelpositie in het ontwikkelen van deze learning communities om mensen en organisaties met elkaar te verbinden. Een veelzijdige rol die zich moeilijk laat definiëren. Bovendien voorzien organisaties niet altijd bewust in ondersteuning en ontwikkeling van deze bruggenbouwers. Op basis van een mixed-methodsbenadering voorziet dit onderzoek in de behoefte van een generieke rolbeschrijving met zeven vaardigheden. Hierbij wordt de invloed van kennis, ervaring en persoonskenmerken belicht. Bruggenbouwers werken intersectoraal over grenzen van organisaties heen en ondersteunen betrokken professionals en organisaties in hun samenwerking door politiek bewust en strategisch te handelen. Zij stimuleren kennisdeling en vertalen kennis naar diverse betrokkenen en contexten en onderzoeken daarbij de beroepspraktijk systematisch. Deze rolbeschrijving en de gewenste ondersteuning hierin biedt concrete handvatten om bruggenbouwers beter te selecteren, te waarderen en ook gerichter te investeren in hun professionele ontwikkeling. Deze investering is van cruciaal belang omwille van de katalyserende werking van de rol als bruggenbouwer om het voortdurend leren en ontwikkelen bij organisaties mogelijk te maken
Purpose: The purpose of this paper is to focus on the effects of career development and guidance among students (age 17-23) enrolled in higher education in The Netherlands. First the paper explores whether the development of career competencies contribute to career identity, learning motivation, certainty of career choice and drop out, and also whether the learning environment affects these variables. In the study, four career competencies are identified: career reflection (reflective behavior), work exploration (exploring behavior), career action (pro-active behavior) and networking (interactive behavior). Aspects of the learning environment that are taken into account are practice- and inquiry-based curriculum and career guidance conversations. Design/methodology/approach: A questionnaire-based study was carried out among 4,820 students and 371 (school) career counsellors in 11 universities. Findings: The results show that career competencies are related to learning motivation, career identity, certainty of career choice and drop out threat. The learning environment also contributes to these outcome variables. Students who participate in a practice-based and inquiry-based curriculum, and who have helping conversations about their study with their teachers, feel more motivated for learning, are more certain of their career choice and are less likely to quit their study. Research limitations/implications: A limitation of this study is that, due to the cross-sectional design with no control group, no strong evidence for effectiveness can be presented. Moreover, the lack of well validated instruments limits the value of the results. The explained variance of the outcome variables, however, does indicate that there are relationships between career competencies and career learning environment on one hand, and career identity, learning motivation and certainty of choices on the other. Practical implications: Constructing and attributing meaning when engaging in these dialogues is of central importance; the development of personality traits and qualities only takes place when those learning find the content meaningful (and that is something quite different than content being considered “necessary”). In order to achieve such a learning environment within the dominant educational culture, transformative leadership is essential. Such leadership, however, is rare in Dutch universities of applied sciences until now. Social implications: Universities are increasingly acknowledging that they have a strong responsibility to guide students not only in their academic growth, but also in their career development. Universities – and especially universities of applied sciences – cannot leave this task to the public or private sector for two key reasons. First, universities are funded by the government and are therefore expected to prepare their students adequately for life in our individualized society as well as for the labor market. In the second place because organizations in the private and public sector often lack the knowledge and the motivation to guide young people on their career paths. Originality/value: A limitation found in the research, as well as in actual career interventions in schools, is that they focus on change in students’ knowledge, attitudes and decision-making skills, while students’ behaviors are not examined. Hughes and Karp (2004) maintain that research should focus on exploring the relationships between guidance interventions and positive students’ behavioral outcomes. Therefore, the paper concentrates – in search of the influence of school-based career interventions – not on decision-making skills, attitudes or knowledge but on actual career behavior, i.e. career competencies of students.
Lack of physical activity in urban contexts is an increasing health risk in The Netherlands and Brazil. Exercise applications (apps) are seen as potential ways of increasing physical activity. However, physical activity apps in app stores commonly lack a scientific base. Consequently, it remains unknown what specific content messages should contain and how messages can be personalized to the individual. Moreover, it is unknown how their effects depend on the physical urban environment in which people live and on personal characteristics and attitudes. The current project aims to get insight in how mobile personalized technology can motivate urban residents to become physically active. More specifically, we aim to gain insight into the effectiveness of elements within an exercise app (motivational feedback, goal setting, individualized messages, gaming elements (gamification) for making people more physically active, and how the effectiveness depends on characteristics of the individual and the urban setting. This results in a flexible exercise app for inactive citizens based on theories in data mining, machine learning, exercise psychology, behavioral change and gamification. The sensors on the mobile phone, together with sensors (beacons) in public spaces, combined with sociodemographic and land use information will generate a massive amount of data. The project involves analysis in two ways. First, a unique feature of our project is that we apply machine learning/data mining techniques to optimize the app specification for each individual in a dynamic and iterative research design (Sequential Multiple Assignment Randomised Trial (SMART)), by testing the effectiveness of specific messages given personal and urban characteristics. Second, the implementation of the app in Sao Paolo and Amsterdam will provide us with (big) data on use of functionalities, physical activity, motivation etc. allowing us to investigate in detail the effects of personalized technology on lifestyle in different geographical and cultural contexts.
Lack of physical activity in urban contexts is an increasing health risk in The Netherlands and Brazil. Exercise applications (apps) are seen as potential ways of increasing physical activity. However, physical activity apps in app stores commonly lack a scientific base. Consequently, it remains unknown what specific content messages should contain and how messages can be personalized to the individual. Moreover, it is unknown how their effects depend on the physical urban environment in which people live and on personal characteristics and attitudes. The current project aims to get insight in how mobile personalized technology can motivate urban residents to become physically active. More specifically, we aim to gain insight into the effectiveness of elements within an exercise app (motivational feedback, goal setting, individualized messages, gaming elements (gamification) for making people more physically active, and how the effectiveness depends on characteristics of the individual and the urban setting. This results in a flexible exercise app for inactive citizens based on theories in data mining, machine learning, exercise psychology, behavioral change and gamification. The sensors on the mobile phone, together with sensors (beacons) in public spaces, combined with sociodemographic and land use information will generate a massive amount of data. The project involves analysis in two ways. First, a unique feature of our project is that we apply machine learning/data mining techniques to optimize the app specification for each individual in a dynamic and iterative research design (Sequential Multiple Assignment Randomised Trial (SMART)), by testing the effectiveness of specific messages given personal and urban characteristics. Second, the implementation of the app in Sao Paolo and Amsterdam will provide us with (big) data on use of functionalities, physical activity, motivation etc. allowing us to investigate in detail the effects of personalized technology on lifestyle in different geographical and cultural contexts.
The postdoc candidate, Sondos Saad, will strengthen connections between research groups Asset Management(AM), Data Science(DS) and Civil Engineering bachelor programme(CE) of HZ. The proposed research aims at deepening the knowledge about the complex multidisciplinary performance deterioration prediction of turbomachinery to optimize cleaning costs, decrease failure risk and promote the efficient use of water &energy resources. It targets the key challenges faced by industries, oil &gas refineries, utility companies in the adoption of circular maintenance. The study of AM is already part of CE curriculum, but the ambition of this postdoc is that also AM principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop an AM material science line and will facilitate applied research experiences for students, in collaboration with engineering companies, operation &maintenance contractors and governmental bodies. Consequently, a new generation of efficient sustainability sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment being more sustainable with less CO2 footprint, with possible connections with other fields of study, such as Engineering, Economics &Chemistry. The project is also strongly contributing to the goals of the National Science Agenda(NWA), in themes of “Circulaire economie en grondstoffenefficiëntie”,”Meten en detecteren: altijd, alles en overall” &”Smart Industry”. The final products will be a framework for data-driven AM to determine and quantify key parameters of degradation in performance for predictive AM strategies, for the application as a diagnostic decision-support toolbox for optimizing cleaning &maintenance; a portfolio of applications &examples; and a new continuous learning line about AM within CE curriculum. The postdoc will be mentored and supervised by the Lector of AM research group and by the study programme coordinator(SPC). The personnel policy and job function series of HZ facilitates the development opportunity.
