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        Inklusion und Bewegung in der frühkindlichen Bildung: Ergebnisse der IuBB-Studie

        Sandra Mirbek(Sandra Mirbek ),Frank Francesco Birk(Frank Francesco Birk ) 한독심리운동학회 2023 심리운동연구 Vol.9 No.2

        IuBB 연구(유아교육에서 통합과 움직임)는 어떤 그리고 어떻게 유아교육에서의 움직임세팅에서 통합이 이뤄질 수 있을까라는 질문을 다룬다. 이 논문에서는 연구 결과들이 소개되며 특히 통합의 이해, 통합의 기회와 요구 및 통합적 움직임과제의 적용을 다룬다. 경험적인 결과들과 함께 통합적 움직임 교육을 위한 이론적 토대가 소개된다. 또한 IuBB연구의 프로젝트 및 실제 결과가 소개되며 정리되기 전에 독일 교육계획의 분석이 통합 및 통합과 음직임으로의 현재 연구상태와 관련하여 다뤄진다. Die IuBB-Studie (Inklusion und Bewegung in der frühkindlichen Bildung) beschäftigt sich mit der Frage, welche und wie Inklusion im Bewegungssetting in der frühkindlichen Bildung umgesetzt wird In diesem Artikel werden Ergebnisse vorgestellt wobei v. a. auf das Inklusionsverständnis, die Chancen und Herausforderungen von Inklusion sowie die Umsetzung inklusiver Bewegungsangebote eingegangen wird. Neben den empirischen Ergebnissen werden die theoretischen Grundlagen zur inklusiven Bewegungserziehung vorgestellt. Dabei wird auf die Analyse der deutschen Bildungs- und Erziehungspläne in Bezug auf Inklusion sowie den aktuellen Stand der Forschung zu Inklusion und Bewegung eingegangen, bevor das Forschungsprojekt sowie die aktuellen Ergebnisse der IuBB-Studie vorgestellt und eingeordnet werden.

      • Teaching Young Children Values in a Multi-religious Secular Society

        Wu Pinhui Sandra(Wu Pinhui Sandra ) 한국공공가치학회 2023 공공가치연구 Vol.5 No.-

        Purpose: Singapore is a multi-religious society where the state is secular, and different religions coexist. Values are taught at home and in schools from young. The government has a set of national values that underpin the Character and Citizenship Education which begin from primary education. However, in early childhood education, the national frameworks do not explicitly articulate the values that should be cultivated in children below six years of age up till November 2022, when the revised Nurturing Early Learners Framework is launched and explicate values that should be cultivated at preschool level. Against this diverse sociocultural context, this paper seeks to unpack these values and find out current centre practices on the ground. Method: This paper uses data of a qualitative study where purposeful sampling is used to select research sites and participants according to the various types of operators in the early childhood education landscape. Semi-structured interviews are conducted for data collection and analysed using thematic analysis. The data presented in this paper offers insights to the perspectives of centre leaders who lead and manage centres run by different operator types in a diverse early childhood education landscape. Results: The findings reveal that centre leaders’ interpretations of the values are generally aligned with the framework’s descriptors and uncover the complexity of values as overlaps across values. The study provides insights to current centre practices on values education. Conclusion: The study indicates alignment between leaders’ definitions and understanding of values espoused in the NEL framework and that values education does take place across early childhood development centre types. With the four values explicated for the early childhood education landscape, there is greater clarity on the values that should be cultivated in young children from young.

      • KCI등재

        Aged mice show an increased mortality after anesthesia with a standard dose of ketamine/xylazine

        Sandra Schuetze,Anja Manig,Sandra Ribes,Roland Nau 한국실험동물학회 2019 Laboratory Animal Research Vol.35 No.2

        Geriatric animal models are crucial for a better understanding and an improved therapy of age-related diseases. We observed a high mortality of aged mice after anesthesia with a standard dose of ketamine/xylazine, an anesthetic regimen frequently used in laboratory veterinary medicine. C57BL/6-N mice at the age of 2.14 ± 0.23 months (young mice) and 26.31 ± 2.15 months (aged mice) were anesthetized by intraperitoneal injection of 2 mg ketamine and 0.2 mg xylazine. 4 of 26 aged mice (15.4%) but none of 26 young mice died within 15 min after injection of the anesthetics. The weight of aged mice was significantly higher than that of young mice (32.8 ± 5.4 g versus 23.2 ± 3.4 g, p < 0.0001). Thus, aged mice received lower doses of anesthetics in relation to their body weight which are within the lower range of doses recommended in the literature or even beneath. There were no differences between deceased and surviving aged mice concerning their sex, weight and their motor performance prior to anesthesia. Our data clearly show an age-related increase of mortality upon anesthesia with low standard doses of ketamine/ xylazine. Assessment of weight and motor performance did not help to predict vulnerability of aged mice to the anesthetics. Caution is necessary when this common anesthetic regimen is applied in aged mice: lower doses or the use of alternative anesthetics should be considered to avoid unexpected mortality. The present data from our geriatric mouse model strongly corroborate an age-adjusted reduction of anesthetic doses to reduce anesthesia-related mortality in aged individuals.

      • IN-FLIGHT ATTRIBUTES AND MINDFUL PASSENGERS: QUALITATIVE COMPARATIVE ANALYSIS (QCA) OF RELATIONSHIP QUALITY AND BEHAVIOURAL INTENTIONS CONFIGURATIONS

        Sandra Maria Correia Loureiro 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

        Create, develop, maintain and nurturing the passengers-airline relationships is crucial in a very competitive market in Europe. Relationship quality and behavioural intentions to fly again in the same airline carrier and recommend to others are core outcomes which may result from a favourable travel experience over time. However, the complexity and the multidimensional phenomenon lead us to develop a holistic framework, which posits that relationship quality and behavioural intentions do not depend on individual air-flight attributes and other individual demographicpsychological variables but on specific configurations of such attributes and variables. Thus, the framework of this study is investigated using qualitative comparative analysis and a sample of 304 passengers. Accordingly, the property space consists of all combinations of binary states, that is, presence or absence, of the 7 in-flight attributes (air quality, temperature, odour, noise, crew, layout and equipment/amenities), frequency of fly in an airline carrier, the type of airline carrier and demographic-psychological variables (age, gender, mindful) (that is, 212 combinations or configurations). Data from both Portuguese and non-Portuguese passengers, who have air travel experiences through Europe in both low cost carriers and legacy airlines (also called traditional or flag airlines) are used to test the hypotheses. The Lisbon airport agreed in helping to conduct the survey during October 2015. Research Question: Which configurations of in-flight attributes, demographicpsychological variables, frequency of fly in an airline carrier and type of airline carrier lead to relationship quality and behavioural intentions? The findings of the current study highlight the importance of coaligning the multiple attributes of air-flight attributes and other individual demographic-psychological variables, also including the frequency of fly in an airline carrier and type of airline carrier, for increasing relationship quality and behavioural intentions. Here the findings point out that complexity theory and QCA are useful tools for understand that simple antecedent conditions relate to an outcome condition of interest positively, negatively, and not at all, which of these three relationships occur depends on the observed complex antecedent conditions in which the simple antecedent conditions occur. Positive outcome (relationship quality or behavioural intention) is not the mirror opposite of negative outcome. By employing QCA, airline managers in Europe can identify whether and under what circumstances individual attributes and other variables will increase (or decrease) the relationship quality and behavioural intentions. QCA can also help managers uncover alternative ways for combining the attributes in order to induce behavioural intentions. Overall it is possible to see that crew and equipment & amenities, particularly for mindful passengers, emerge in several configurations as essential elements for the four outcomes: satisfaction, trust, affective commitment and behavioural intentions. For passengers not affectively committed to an airline, satisfaction plays an important role in their behavioural intention to fly again in the same airline carrier and recommend it to others. The combination of trust and affective commitment may also generate the intention to fly again in the same airline carrier and recommend it to others, particularly for mindful passengers. The findings contribute to managerial practices by providing new insights for improving the in-flight service provide and process. The findings also contribute to theoretical advancing of how passengers’ in-flight evaluations and their experience with an airline relate to their assessments of relationship quality and behavioural intentions.

      • KCI등재

        Interprofessional health education teacher training at the University of Chile

        Sandra Oyarzo Torres 한국보건의료인국가시험원 2021 보건의료교육평가 Vol.18 No.-

        The first interprofessional course that included students in the 8 undergraduate health programs at the Faculty of Medicine of the University of Chile was implemented in 2015. For the 700 students, 35 teachers were trained as facilitators. The use of several strategies totrain facilitators in interprofessional health education, such as working in small groups, role-playing, case analysis, personal developmentworkshops with experts’ participation, teamwork skills, feedback, videos, and reading articles, proved to be helpful. Facilitators highlighted the use of syllabi as a fundamental tool for teaching and coordination. This guide describes the experience of interprofessionalhealth education teacher training from 2015 to 2019, highlighting the following lessons learned: the importance of support from university authorities, raising faculty awareness about interprofessional health education and collaborative practice, creating a teachers’ coordination team including representatives from all health programs, and ongoing monitoring and feedback from participants.

      • SCIESCOPUSKCI등재
      • AUTOMATED PAYMENT, FINANCIAL DECISION-MAKING AND A PUBLIC POLICY CONUNDRUM

        Sandra Awanis,Ahmad Daryanto 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

        Introduction Credit card issuers across countries now offer automated payment facilities online to ensure that consumers commit to regular repayments. However, insofar it is unclear whether repayment automation leads to better financial decisions. With an average of $880 billion of revolving debt in the U.S., it is no surprise that policy developers seek to remedy the global credit card debt problem. The current research makes three contributions. First, our study raises public awareness about the negative effects of automated payments on credit card repayments. Contrary to the established assumptions that autopay helps consumers to manage consumer finances (e.g., www.directdebit.co.uk), our experiment unanimously show that autopay facilities reduce the amount of credit card repayment. Second, our study offers a contemporary and relevant insight into the consumers’ online credit card management, which is distinct from its offline counterpart. Specifically, in an online environment, consumers can process information on their credit card and saving almost simultaneously. For example, some consumers may access credit and saving accounts in different browser tabs, while others who own credit and saving accounts from the same institutions may be able to access both accounts within the same webpage. Finally, our study enriches understanding of individual differences in repayment decisions behaviour. Our results indicate that certain attitudinal tendencies to credit cards heightens the effect of autopay on repayment, but this effect is intensified when the context involves those with low level of saving. Conceptual Development The Psychology of Automated Payment Credit cardholders often set up automatic monthly payments to avoid missed payments and incur penalties. The freedom and convenience associated with online banking means that credit card consumers can easily set up automated payment at an amount that they feel comfortable. Consumers can choose any amount ranging from the minimum amount, which is typically is set at 2% of the overall balance, to the full credit card balance. Prior research on goal pursuits suggests that people divide goals into subtasks to experience the motivational benefits of greater self-efficacy (Bandura, 1997). In this case, the use of automated repayment provides a sense of goal progress as it allows repayments to be made in smaller instalments, which in turn, bolsters one’s perception of self-efficacy with respect to the overall goal (i.e. total credit card balance). However, a boosted sense of achievement resulting from subgoal completion may lead consumers to undermine absolute progress towards the overall goal. As such, the subgoal – rather than the superordinate goal – becomes the most salient point of reference for individuals’ motivations towards goal pursuit (Besharat, Carrillat, & Ladik, 2014). Unfortunately, the focus on subgoals can lead to a sense of complacency and reduced persistence towards superordinate goal (Gal & McShane, 2012). Therefore, we expect that the presence of automated repayment cause consumers to focus on the more manageable subgoals (i.e., monthly repayments) rather than the unwieldy superordinate goals (i.e., total credit card balance). In addition, we theorise that the convenience of automated payment removes the salience of the “pain of paying” (Prelec & Loewenstein, 1998) away from future credit card repayment. A key characteristic of credit card expenses is that the “pain” of payment, which provides a nudge for self-reflection and intervention from overspending, is held at bay until the end of the month. However, with automated payment, such deliberation point is subverted to a one-time deliberation. Because automated payment shifts attention away from subordinate goals and reduces the complexity of monthly deliberation, we expect that consumers making automated credit card repayments will commit to less amount of repayment than those making non-automated payments. H1: Automated payment leads to lower repayment amount compared to regular non-automated payment. The Psychology of Credit and Saving Accounts The default setup of many credit card accounts tends to demarcate credit and debit (saving) accounts. For example, consumers may have separate login accounts to access information about their credit and debit accounts. Such financial accounts separation means that consumers also categorise debt and saving into separate mental accounts (Hershfield, Sussman, O’Brien, & Bryan, 2015). Previous research suggests that such erroneous categorization of overall wealth can lead consumers to make financially detrimental decisions, such as taking on high-interest rate debt, while simultaneously holding money in low-interest rate saving account (Sussman & O’Brien, 2015). The absence of overall wealth information in credit card accounts and statements means that people are likely to focus their attention to arbitrary information that may misshape one’s perception of wealth. We therefore expect that the absence of accurate information of financial capability in the form of saving account balance will lead consumers to anchor their repayment decisions on perceived wealth informed by the available credit limit. In contrast, the presence of saving information in credit card account has a direct influence over credit card repayment decision because it represents an accurate picture of one’s overall wealth. Thus, higher (lower) balance of saving account will lead to higher (lower) credit card repayment. We expect that the positive effect of credit and saving account on repayment transcend over the effect of repayment mode (i.e. automated versus non-automated repayment) as it reconciles the consumers’ saving and debt mental accounts. Hence: H2: The amount in saving account influences the amount of credit card repayment. Individual Differences in Susceptibility to Credit Card Debts Prior studies regularly report that credit card as a payment mechanism yield psychological effect on the consumers’ evaluation at the point of purchase. In comparison to more transparent and vivid payment methods such as cash, credit card payments causes consumers to trivialise past payment (Soman, 2001), reduces self-control (Chatterjee & Rose, 2012) and overvalue past income (Soman & Cheema, 2002). However, other studies suggest that consumers exhibit different individual differences in susceptibility to credit card’s psychological effects (Awanis & Cui, 2014; Rick, Cryder, & Loewenstein, 2008). For example, those characterised as spendthrifts, instant gratifiers, low in self-regulation and financial sophistication are likely to emphasise on the bright side of credit cards (i.e., spending/lifestyle facilitator). Consequently, these consumers tend to overspend with their credit cards. We expect that such individual differences in credit card mentality will reflect on the consumers’ repayment habits. Thus, we expect a negative relationship between individual-level susceptibility to credit card debts and repayment amounts. In addition, we also expect that individual differences in credit card debts susceptibility will moderate the relationship between automated payment and repayment decision (H1). Indeed, those who advocate the bright side of credit card (high susceptibility) may appreciate, or even celebrate automated payment facilities, as it makes credit card experience more convenient and worry-free. To this end, we suggest that individual-level differences in susceptibility to credit card debts will moderate the relationship between automated payment and repayment amounts. Furthermore, we propose that such moderated relationship is stronger and consequently more problematic among those with constrained resources (low saving). Specifically, cash-strapped consumers are at risk of placing greater emphasis on the bright side of credit cards to make up for their lack of financial resources. The combined effects of individual susceptibility to credit card effects and the misguided promise of automated payment are likely to lead these individuals to a path of revolving debt. Meanwhile, those with sufficient resources are unlikely to suffer the same extent of indebtedness due to their wealth. Thus, we hypothesise that the moderating effect of individual susceptibility to credit card debts on the relationship between automated payment and repayment amount will differ across those with low and high saving: H3: In low saving conditions, susceptibility to credit card debts moderates the relationship between automated payment and the amount of credit card repayment; in high saving no such moderation effect is expected. Method We conducted a 5 (current account balance) x 2 (payment mode) between-subject experiment involving a hypothetical scenario and repayment decisions. Current account balance has five levels: no account balance information (served as a control condition), $500, $1000, $2000 and $3000 and payment has two levels: autopay and regular payment. Across all experimental conditions, the minimum required payment and credit card balance were kept constant. In total, eight hundreds and nine US credit card users (458 women, 11% were aged 18-44 years, 42% from 25-34 years, 24% from 35-44 years and 23% were aged more than 45 years) were drawn from Amazon Mechanical Turk and were paid $.35 each for participation. Participants were asked to imagine that they had just logged onto their online account where they could see their online credit card statement with a balance of $1.937.28 and a minimum payment of ?35.78. This minimum required payment was equal to two-percent of balance. The amount of credit card balance reflects the U.S. average of consumer credit card balance (Salisbury, 2014). Participants were told that they also saw their current accounts (i.e., the amount of money in their debit cards) and were also told that they do not have any other forms of financial obligations. Participants were instructed to indicate the amount of credit card repayment they would make in the light of the information provided in the online statement. We expect that the consumers’ understanding of compounding interest will affect their credit card repayment decisions. Therefore, we controlled for the participants’ financial knowledge, measured using three quiz-style questions following Navarro-Martinez, et al. (2011). Scores were calculated by tabulating the number of correct answers (one score for a right answer and zero for a wrong answer) and points are summed across the three questions to arrive at a single knowledge score. We measure participants’ susceptibility to credit cards effect (SCCE) by a 12-items scale adapted from Awanis and Cui (2014) (Cronbach’s α=0.89). The scale has been found to be invariant across cultures e.g., UK and Singapore. The scale items used a 7-point Likert format (1=strongly disagree, 7=strongly agree). Results and discussions A 5 (account balance) x 2 (payment mode) ANOVA revealed a main effect of current account balance, F(4,755)=61.50, p<0.001, η2=.246, such that higher current account will lead to higher repayment (Mcontrol=$960.64 (SD=53.91), M1=$181.85 (SD=58.08), M2=$390.55 (SD=53.78), M3=$1075.07 (SD=54.71), M4=$1138.45 (SD=51.84), see Figure 1). The ANOVA design also revealed a main effect of autopay vs regular payment mode, F(1,755)=28.44, p<0.001, η2=.04, such that the autopay (Mautopay=619.39, SD=35.17) brought about lower payments than the regular mode (MRegular=879.24, SD=33.72). Therefore, H1 and H2 are supported. Interaction effect of payment mode and susceptibility within low versus high account balance. We then examined the interaction effect of payment mode and susceptibility to credit card debt within three conditions: account balance is lower than the credit balance (high saving) and account balance is higher than the credit balance, and a control condition. We, therefore, recode the five levels of account balance experimental conditions into a dummy variable with three levels: 0 for control, 1 for low account balance and 2 for high account balance. The experimental conditions with account balance lower than the credit balance (i.e., $500 and $1000) is coded as 1 and those with account balance higher than the credit balance is coded as 2, no account balance information presented (i.e., control condition) is coded as 0. We centred the means of SCCE and use a PROCESS macro (Hayes, 2013) to estimate the interaction effect. Within low balance: the moderated regression results revealed the main effect of autopay (b=-233.23, t=-7.46, p=<0.001), main effect of SCCE (b=-43.318, t=13.04, p=<0.001) and interaction effect between autopay and SCCE (b=-81.48, t=25.64, p=<0.001) on credit card repayment. Simple slope analysis reveals that at there were significant differences in the repayment amount between low vs. high SCCE for regular participants (b=-81.70, t==-5.55, p<0.001). In contrast, for autopay participants, the effect of SCCE on credit card repayment is not significant (b=-.21, t=-.01, n.s). Within high balance: the moderated regression results revealed the main effect of autopay (b=-317.39, t=-3.57, p=<0.001) and main effect of SCCE (b=-135.10, t=-3.88, p=<0.001) on credit card repayment. The interaction effect between autopay and SCCE on credit card repayment is not significant p>.5).Within control: the moderated regression results revealed the main effect of autopay (b=-301.69, t=-2.13, p=<0.001) and main effect of SCCE (b=-156.24, t=-2.58, p=<0.001). The interaction effect between autopay and SCCE is not significant p>.5). Figure 2 shows the interaction effect discussed above for the two account balance experimental conditions: low account balance (panel A), high account balance (panel B). Patterns in control condition is similar to panel B. Based on these results, H3 is supported. General Discussion Automated payment is not as virtuous as many have assumed. In fact, autopay facilities encourage may reduce consumers’ long-term goal of debt repayment by craftily shifting attention away from superordinate goals to the more manageable and rewarding subgoals. We recommend that policy developers and practitioners should exercise caution in promoting the use of automated payment to enhance financial management. Such recommendations should come with a set of actionable guides to reduce debt levels in shorter time. Our findings also suggest that separation of many credit and debit accounts means that people tend to categorize debt and saving into separate mental accounts. This affects people’s ability to make informed repayment decisions, which should reflect one’s real ability to pay. Interventions that help people to accurately measure their real financial capabilities are expected to raise their repayment decisions. Therefore, we suggest that policy makers and practitioners reconcile credit card and saving account in a single online platform to enhance the consumers’ repayment decision.

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