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Considering the historical relationship of subordination from the Global South countries to the Global North countries, this research aims to understand how culture is instrumentalized in the Peruvian political arena looking to achieve Western development standards. By focusing on the Commission of Culture and Heritage of the Congress of Peru, period 2016-2017, as its case study, it will do a discourse analysis to try to find the spheres in which developmental ideology is produced and reproduced. Those findings will be later discussed under decolonial thought and dependency theories.
In dieser Masterarbeit wird die Online-Befragung von Berufsschullehrern in Hamburg als explorative Methode gewählt, um Einblicke in die aktuelle Situation an Berufsschulen zur Förderung von "Kompetenzen in der digitalen Welt" bei Auszubildenden zu Kaufleuten für Büromanagement zu erhalten. Das Hauptziel ist es, die vorhandenen Chancen und Herausforderungen bei der Förderung genannter Kompetenzen bei den Schülern zu identifizieren und zu analysieren. Diese Arbeit interessiert sich außerdem für einen umfassenden Einblick in die Praktiken, Herausforderungen und Bedarfe an der Berufsschule im Zusammenhang mit der Förderung von digitalen Kompetenzen. Dafür werden verschiedene Theorien aus der Medienpädagogik zusammengefasst und deren Relevanz für die gegenwärtige Berufliche Bildung herausgestellt. Es wird sich mit verschiedenen Einflussfaktoren der digitalen Welt auf den (Berufs-)Schulunterricht auseinandergesetzt. Des Weiteren wird die Entstehungshistorie der Kultusministerkonferenz (KMK)-Strategie "Bildung in der digitalen Welt" nachvollzogen. Damit soll die theoretische Basis zur Beantwortung der Frage gelegt werden, inwiefern "Kompetenzen in der digitalen Welt" in der Beruflichen Bildung in Hamburg gefördert werden. Diese grundsätzliche Fragestellung wird anhand von empirischen Datenmaterial hinsichtlich der Förderungsabsichten beantwortet. Gerade vor dem Hintergrund der technologischen Entwicklungen der letzten Jahrzehnte mit "Kompetenzen in der digitalen Welt" als entscheidenden Schlüsselqualifikationen möchte die vorliegende Arbeit durch die erzielten empirischen Ergebnisse zur aktuellen Diskussion über die Förderung digitaler Kompetenzen bei Auszubildenden beitragen und bietet Handlungsempfehlungen für die Praxis. Indem mit dieser Arbeit das Verständnis für die bestehenden Chancen und Herausforderungen erweitert wird, können bildungspolitische Maßnahmen entwickelt werden, um den Anforderungen der digitalen (Arbeits-)Welt gerecht zu werden.
In past digital health interventions, an issue has been that participants drop out over time which is referred to as the "law of attrition" (Eysenbach, 2005). Based on this, the study proposes that though initially, participants respond to the intervention, there is a hypothesized second diminishing effect of an intervention. However, the study suggests that on top, there is a third effect. Independent of the individual notification or nudge, people could build the knowledge, skills and practice needed to independently engage in the behavior themselves (schraefel and Hekler, 2020). Using behavioral theory and inspired by prior animal computational models of behavior, the thesis proposes a dynamical computational model to allow for a separation of intervention and internalization. It is targeted towards the specific case of the HeartSteps intervention that could not explain a diminishing immediate effect of the intervention, second hypothesized effect, while a person’s overall steps remained constant, third effect (Klasnja et al., 2019). The study incorporates a habituation mechanism from learning theory that can account for the immediate diminishing effect. At the same time, a reinforcement mechanism allows participants to internalize the message and engage in behavior independently. The simulation shows the importance of a participant’s responsiveness to the intervention and a sufficient recovery period after each notification. To estimate the model, the study uses data from the HeartSteps intervention (Klasnja et al., 2019; Liao et al., 2020), a just-in-time adaptive intervention that sent two to five walking suggestions per day. The study runs a Bayesian estimation with Stan in R. Additional validation tests are needed to estimate the accuracy of the model for different individuals. It could however serve as a template for future just-intime adaptive interventions due to its generic structure. In addition, this model is of high practical relevance as its derived dynamics can be used to improve future walking suggestions and ultimately optimize notification-based digital health interventions.
In the study, predictive models for predicting therapy outcome are created using the dataset from E-COMPARED project, which belongs to the so-called type 3 models that use data from the intervention and preintervention phases to predict treatment outcomes, which can help to adapt intervention to maximize treatment. The predictive models aim to classify patients into two groups, improved and nonimproved. Since it is important to determine whether the models contribute to improvement of treatment, research questions that can contribute to the usage of type 3 models are established. The study focuses on the following three questions: (1) How accurately can the therapy outcome be predicted by various machine learning algorithms? Answering this question can let the people concerned obtain information about the reliability of contemporary predictive models. In addition, if the predictive power of the models is good, it is more likely to be used to assist therapists’ decisions. (2) Which kind of data is more important in predicting the therapy outcome? The answer to this question can show which dataset should be considered first to make better predictive models. Therefore, it can be helpful for researchers who want to make predictive models in the future and eventually help to facilitate personalized therapy. (3) What are the features with strong predictive power? The answer to this question can affect the people concerned, especially therapists. Therapists can use the most influential features revealed to adjust and improve future treatments.
The food and land use system is one of the most important global economic sectors. At the same time, today's resource-intensive agricultural practices and the profit orientation in the food value chain lead to a loss of biological diversity and ecosystem services, high emissions, and social inequality - so-called negative externalities. From a scientific perspective, there is a broad consensus on the need to transform the current food system. This paper investigates the suitability of True Cost Accounting (TCA) as an approach to inte-grating positive and negative externalities into business decisions in the food and land use system, focusing on the retail sector due to its high market power and resulting influence on externalities along the entire food value chain. For this purpose, a qualitative study was con-ducted with sustainability managers of leading European food retail companies in terms of their annual turnover, sustainable finance experts, and political actors related to environmental and social policy. A sample of N=11 participants was interviewed about the emergence and meas-urement of externalities along the food value chain, the current and future relevance of knowing about externalities for food retail companies, and the market and policy framework necessary for the application of TCA. The data collected was evaluated using the method of qualitative content analysis according to Mayring. Findings show that TCA is a suitable method for capturing positive and negative external ef-fects along the food value chain and thus also for meeting the growing social, political, and financial demands for its sustainable orientation. At the same time, there are still some chal-lenges in the application of TCA, both from a theoretical and a practical point of view. The main challenges at present are the lack of a standardised methodology, data availability, and key performance indicators. Due to the focus on prices, margins and competitors, food retail groups, in particular, emphasise the risk of revenue and profit losses as well as customer churn when applying TCA. Hence, the introduction of TCA in the food and land use system requires the development of measures that are socially acceptable, backed by legal frameworks and promote the scientific development of the methodology. This offers the opportunity to create a level playing field, apply the polluter-pays principle to the entire value chain and support science in developing appropriate indicators as well as a TCA database. Food retail companies can benefit from addressing TCA at an early stage by analysing their value chain to initiate change processes early, identify risk raw materials and products, reduce negative externalities through targeted measures, sensitise customers to the issue and thus differentiate themselves from competitors.