The central goal of this study is to clarify to what degree former education and students' personal characteristics (the 'Big Five personality characteristics', personal orientations on learning and students' study approach) may predict study outcome (required credits and study continuance). Analysis of the data gathered through questionnaires of 1,471 Universities of Applied Sciences students make clear that former Education did not come forth as a powerful predictor for Credits or Study Continuance. Significant predictors are Conscientiousness and Ambivalence and Lack of Regulation. The higher the scores on Conscientiousness the more credits students are bound to obtain and the more likely they will continue their education. On the other hand students with high scores on Ambivalence and Lack of Regulation will most likely obtain fewer Credits or drop out more easily. The question arises what these results mean for the present knowledge economy which demands an increase of inhabitants with an advanced level of education. Finally, implications and recommendations for future research are suggested.
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Digitalization enables public organizations to personalize their services, tuning them to the specific situation, abilities, and preferences of the citizens. At the same time, digital services can be experienced as being less personal than face-to-face contact by citizens. The large existing volume of academic literature on personalization mainly represents the service provider perspective. In contrast, in this paper we investigate what makes citizens experience a service as personal. The result are eight dimensions that capture the full range of individual experiences and expectations that citizens expressed in focus groups. These dimensions can serve as a framework for public sector organizations to explore the expectations of citizens of their own services and identify the areas in which they can improve the personal experiences they offer.
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Introduction: With a shift in healthcare from diagnosis-centered to human- and interprofessional-centered work, allied health professionals (AHPs) may encounter dilemmas in daily work because of discrepancies between values of learned professional protocols and their personal values, the latter being a component of the personal dimension. The personal dimension can be defined as a set of personal components that have a substantial impact on professional identity. In this study, we aim to improve the understanding of the role played by the personal dimension, by answering the following research question: What is known about the personal dimension of the professional identity of AHPs in (allied) health literature? Methods: In the scoping review, databases, CINAHL, ERIC, Medline, PubMed, and PsychINFO were searched for studies focusing on what is regarded as ‘the personal dimension of professional identity’ of AHPs in the health literature; 81 out of 815 articles were included and analyzed in this scoping review. A varying degree of attention for the personal dimension within the various allied health professions was observed. Result: After analysis, we introduce the concept of four aspects in the personal dimension of AHPs. We explain how these aspects overlap to some degree and feed into each other. The first aspect encompasses characteristics like gender, age, nationality, and ethnicity. The second aspect consists of the life experiences of the professional. The third involves character traits related to resilience and virtues. The fourth aspect, worldview, is formed by the first three aspects and consists of the core beliefs and values of AHPs, paired with personal norms. Discussion: These four aspects are visualized in a conceptual model that aims to make AHPs more aware of their own personal dimension, as well as the personal dimension of their colleagues intra- and interprofessionally. It is recommended that more research be carried out to examine how the personal dimension affects allied health practice.
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Present study focuses on revealing and developing personal constructs regarding problem behaviour in classrooms. The main idea is that teachers opinions about their students and themselves influence the way they interact with them. Their thoughts and ideas about students - their personal constructs - are generally unconscious. We used the Personal Construct Theory from Kelly (1955) and his Repertory Grid Technique for exploration mental constructs. They can give an impulse to the development of thinking and acting of teachers. We think it can help them to build up their professional identity towards problem children. Twenty-nine teachers formed the sample that worked with this method. We investigated the number of unique construct pairs mentioned by the teachers. This number happened to be remarkably high. While assessing pupils, the teachers use primarily personality characteristics. There is hardly any agreement between the teachers constructs, which complicates their communication about their pupils. We considered the number of construct pairs named by one participant. This number seems to depend on the type of education the teacher is involved in. The type of the school the teacher is working at also influences the average scores on the constructs. We shall also turn to the issue of pupils sex and its role if any in the teachers scores. No significant differences have been found.
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As people age, physiological changes affect their thermal perception, sensitivity and regulation. The ability to respond effectively to temperature fluctuations is compromised with physiological ageing, upsetting the homeostatic balance of health in some. As a result, older people can become vulnerable at extremes of thermal conditions in their environment. With population ageing worldwide, it is an imperative that there is a better understanding of older people’s thermal needs and preferences so that their comfort and wellbeing in their living environment can be optimised and healthy ageing achieved. However, the complex changes affecting the physiological layers of the individual during the ageing process, although largely inevitable, cannot be considered linear. They can happen in different stages, speeds and intensities throughout the ageing process, resulting in an older population with a great level of heterogeneity and risk. Therefore, predicting older people’s thermal requirements in an accurate way requires an in-depth investigation of their individual intrinsic differences. This paper discusses an exploratory study that collected data from 71 participants, aged 65 or above, from 57 households in South Australia, over a period of 9 months in 2019. The paper includes a preliminary evaluation of the effects of individual intrinsic characteristics such as sex, body composition, frailty and other factors, on thermal comfort. It is expected that understanding older people’s thermal comfort from the lens of these diversity-causing parameters could lead to the development of individualised thermal comfort models that fully capture the heterogeneity observed and respond directly to older people’s needs in an effective way. (article starts at page 13)
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The research described in this paper provides insights into tools and methods which are used by professional information workers to keep and to manage their personal information. A literature study was carried out on 23 scholar papers and articles, retrieved from the ACM Digital Library and Library and Information Science Abstracts (LISA). The research questions were: - How do information workers keep and manage their information sources? - What aims do they have when building personal information collections? - What problems do they experience with the use and management of their personal collections? The main conclusion from the literature is that professional information workers use different tools and approaches for personal information management, depending on their personal style, the types of information in their collections and the devices which they use for retrieval. The main problem that they experience is that of information fragmentation over different collections and different devices. These findings can provide input for improvement of information literacy curricula in Higher Education. It has been remarked that scholar research and literature on Personal Information Management do not pay a lot of attention to the keeping and management of (bibliographic) data from external documentation. How people process the information from those sources and how this stimulates their personal learning, is completely overlooked. [The original publication is available at www.elpub.net]
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The paper explores the effectiveness of automated clustering in personalized applications based on data characteristics. It evaluates three clustering algorithms with various cluster numbers and subsets of characteristics. The study compares the accuracy of models in different clusters against original results and examines the algorithmic approaches and characteristic selections for optimal clustering performance. The research concludes that the proposed method aids in selecting appropriate clustering strategies and relevant characteristics for datasets. These insights may also guide further research on coaching approaches within applications.
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The European policy emphasis on providing informal care at home causes caregivers and home care professionals having more contact with each other, which makes it important for them to find satisfying ways to share care. Findings from the literature show that sharing care between caregivers and professionals can be improved. This study therefore examines to what degree and why caregivers’ judgements on sharing care with home care professionals vary. To improve our understanding of social inequities in caregiving experiences, the study adopts an intersectional perspective. We investigate how personal and situational characteristics attached to care judgements are interwoven. Using data of the Netherlands Institute for Social Research, we conducted bivariate and multivariate linear regression analysis (N = 292). We combined four survey questions into a 1–4 scale on ‘caregiver judgement’ (α = 0.69) and used caregivers’ personal (such as gender and health status) and situational characteristics (such as the care recipient's impairment and type of care) as determinants to discern whether these are related to the caregivers’ judgement. Using a multiplicative approach, we also examined the relationship between mutually constituting factors of the caregivers’ judgement. Adjusted for all characteristics, caregivers who provide care to a parent or child with a mental impairment and those aged between 45 and 64 years or with a paid job providing care to someone with a mental impairment are likely to judge sharing care more negatively. Also, men providing care with help from other caregivers and caregivers providing care because they like to do so who provide domestic help seem more likely to be less satisfied about sharing care. This knowledge is vital for professionals providing home care, because it clarifies differences in caregivers’ experiences and hence induce knowledge how to pay special attention to those who may experience less satisfaction while sharing care.
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In the rapidly evolving field of Machine Learning , selecting the most appropriate model for a given dataset is crucial. Understanding the characteristics of a dataset can significantly influence the outcomes of predictive modeling efforts, making the study of the properties of the dataset an essential component of data science. This study investigates the possibilities of using simulated human data for personalized applications, specifically for testing clustering approaches. In particular, the study focuses on the relationship between dataset characteristics and the selection of the optimal classification model for clusters of datasets. The results of this study provide critical insights for researchers and practitioners in machine learning, emphasizing the importance of dataset characteristics and variability in building and selecting robust models for diverse data conditions. The use of human simulation data provide valuable insights but requires further refinement to capture the full variability of real-world conditions.
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Many students graduating in higher education will achieve a managerial or professional position, with leadership qualities being highly important. The need to reflect on leadership as an important developmental goal in higher education is highlighted by pointing out that many curricula, especially in the managerial, organisational and economic domain, include specific courses on leadership. It seems that some of our thinking on leadership needs revision. According to Kellerman, leaders’ ability to connect to followers is paramount to gain and remain in power. Dutch management scholar Manfred Kets de Vries (2004) underlines that the main responsibility of a leader is to envision and inspire. In this chapter we will examine the role of personality and personal values in the ability of informal leaders to inspire other team members. In the first section we will elaborate on transformational leadership and shared leadership. In the next, we will link these forms of leadership to personality and personal values. In the third section the findings of our empirical study will be discussed. We conclude with the implications of our study for leadership practice and the scholarly field of leadership. From an educational point of view our findings are important. The results shed additional light on the importance of personality traits on leadership, and informal leadership in particular. As leadership is an important phenomenon in society and working life, (under)graduates can be assisted in understanding and developing it. But in the context of this book it should be highlighted that transformational leadership is highly relevant in knowledge innovation (García-Morales et al., 2012), which is a core issue in higher education. Consequently, inspiring others is relevant, because group work is commonly used in higher education. Understanding group dynamics within student teams, informal leadership specifically, can help lecturers to explain and discuss effective and ineffective group work. In our opinion, the results of this study offer interesting evidence-based insights to reflect on and develop those personal characteristics that can be important for informal leadership effectiveness.
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