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Zum Verhältnis von Interesse und Lebensweltbezug bei Lernaufgaben im Unterrichtsfach Geschichte
(2018)
Die geschichtsdidaktische wie allgemeindidaktische Theorie postulieren Lebensweltbezüge als interessenförderliches Merkmal von Unterricht und Lernaufgaben (Gautschi 2011; Waldis&Buff 2007; Bergmann 2002; Kleinknecht et al. 2012). In der Studie wird zunächst das theoretische Konzept des Lebensweltbezugs im Kontext des historischen Lernens diskutiert und für die Hypothesenprüfung operationalisiert.
Für die empirische Untersuchung der Wirksamkeitsannahmen des Lebensweltbezugs von Geschichtsaufgaben wird das situationale Interesse als zweidimensionales Konstrukt bestehend aus Aufgabeninteressantheit und subjektiver Bedeutsamkeit der Aufgabe (vgl. auch Hidi&Renninger 2012; Durik&Harackievicz 2007; Mitchell 1993) konzeptualisiert. Dabei wird davon ausgegangen, dass sich Merkmale der Aufgabe auf beide Komponenten des situationalen Interesses unterschiedlich auswirken können. Zusätzlich wird ein Einfluss des individuellen Fachinteresses an Geschichte auf die Aufgabenwahrnehmung angenommen.
Eine differenzielle Betrachtung des Interesses (Fachinteresse und situationales Interesse) für das Fach Geschichte stellt bislang ein Desiderat dar. Sowohl auf Aufgaben- wie auch auf Individualebene liegen hierzu nur wenige Befunde für das historische Lernen vor (Bracke et al. 2014). Ebenso lässt sich die interessenförderliche Wirkung des Lebensweltbezugs für Geschichte bislang nur unzureichend empirisch belegen.
Für die Studie wurden insgesamt 34 Aufgaben zu drei Themengebieten des Geschichtsunterrichts der 9. Jahrgangsstufe inhaltsanalytisch hinsichtlich ihres Lebensweltbezugs untersucht sowie 801 Schüler/innen bayerischer Realschulen hinsichtlich der wahrgenommenen Interessantheit und Bedeutsamkeit der Aufgaben befragt.
Die Wirkung des jeweiligen Lebensweltbezugs sowie des individuellen Fachinteresses auf die wahrgenommene subjektive Bedeutsamkeit und Interessantheit der Aufgaben wurde mittels Cross-Classified Mulitlevel Analysen mit dem Statistikprogramm MPlus (Muthén und Muthén 2012) überprüft.
Die Analysen zeigten, dass grundsätzlich das bereits bestehende Fachinteresses Geschichte eines Menschen die wahrgenommene Interessantheit und Bedeutsamkeit der Aufgabe prädiziert, unabhängig von den Merkmalen der Aufgabe. Die differenzielle Wirkung von Aufgabenmerkmalen auf die beiden Komponenten des situationalen Interesses kann den Ergebnissen gemäß bestätigt werden. Insgesamt gesehen wirkt der Lebensweltbezug einer Aufgabe insbesondere auf die subjektive Bedeutsamkeit und nicht auf die Aufgabeninteressantheit.
Es wird diskutiert, dass das Fachinteresse an Geschichte als Prädiktorvariable eine wichtige Einflussgröße auf die Aufgabenwahrnehmung darstellt. Zugleich ist das situationale Interesse, das beim Lernen geweckt wird, eine wichtige Voraussetzung dafür, dass sich dauerhaft ein stabiles individuelles Fachinteresse ausbilden kann (Ferdinand 2014).
In der geschichtsdidaktischen Forschung wurde den motivationalen Bedingungen des historischen Lernens insgesamt bislang nur wenig Aufmerksamkeit beigemessen. Die Ergebnisse der Studie legen nahe, dass eine intensivere Erforschung einer interessenförderlicher Unterrichts- und Aufgabengestaltung, die sowohl die situationale Interessantheit als auch die subjektive Bedeutsamkeit anregt, einen wertvollen Beitrag zur Erweiterung des empirischen Forschungsfeldes in der Geschichtsdidaktik leisten kann.
In the last decade, crowdsourcing has proved its ability to address large scale data collection tasks, such as labeling large data sets, at a low cost and in a short time. However, the performance and behavior variability between workers as well as the variability in task designs and contents, induce an unevenness in the quality of the produced contributions and, thus, in the final output quality. In order to maintain the effectiveness of crowdsourcing, it is crucial to control the quality of the contributions. Furthermore, maintaining the efficiency of crowdsourcing requires the time and cost overhead related to the quality control to be at its lowest. While effective, current quality control techniques such as contribution aggregation, worker selection, context-specific reputation systems, and multi-step workflows, suffer from fairly high time and budget overheads and from their dependency on prior knowledge about individual workers.
In this thesis, we address this challenge by leveraging the similarity between completed and incoming tasks as well as the correlation between the worker declarative profiles and their performance in previous tasks in order to perform an efficient task-aware worker selection. To this end, we propose CAWS (Context AwareWorker Selection) method which operates in two phases; in an offline phase, completed tasks are clustered into homogeneous groups for each of which the correlation with the workers declarative profile is learned. Then, in the online phase, incoming tasks are matched to one of the existing clusters and the correspondent, previously inferred profile model is used to select the most reliable online workers for the given task. Using declarative profiles helps eliminate any probing process, which reduces the time and the budget while maintaining the crowdsourcing quality. Furthermore, the set of completed tasks, when compared to a probing task split, provides a larger corpus from which a more precise profile model can be learned. This translates to a better selection quality, especially for harder tasks.
In order to evaluate CAWS, we introduce CrowdED (Crowdsourcing Evaluation Dataset), a rich dataset to evaluate quality control methods and quality-driven task vectorization and clustering. The generation of CrowdED relies on a constrained sampling approach that allows to produce a task corpus which respects both, the budget and type constraints. Beside helping in evaluating CAWS, and through its generality and richness, CrowdED helps in plugging the benchmarking gap present in the crowdsourcing quality control community.
Using CrowdED, we evaluate the performance of CAWS in terms of the quality of the worker selection and in terms of the achieved time and budget reduction. Results shows the following: first, automatic grouping is able to achieve a learning quality similar to job-based grouping. And second, CAWS is able to outperform the state-of-the-art profile-based worker selection when it comes to quality. This is especially true when strong budget and time constraints are present on the requester side.
Finally, we complement our work by a software contribution consisting of an open source framework called CREX (CReate Enrich eXtend). CREX allows the creation, the extension and the enrichment of crowdsourcing datasets. It provides the tools to vectorize, cluster and sample a task corpus to produce constrained task sets and to automatically generate custom crowdsourcing campaign sites.
The Semantic Web exists for about 20 years by now, but its applicability as well as its presence does not live up to the standards of its original idea. Incorporated Semantic Web Technologies do have an initial barrier to learn and apply, which can discourage many potential users. This leads to less available data overall in addition to decreased data quality.
This work solves parts of the aforementioned problem by supporting idiomatic entry to those Semantic Web Technologies, allowing for "easier" accessibility and usability. Anno4j is a Java library that implements a form of Object-Relational Mapping for RDF data. With its application, RDF data can be created via a mapping by simply instantiating Java objects - an object-oriented programming concept the user is familiar with. On the other side, requesting persisted data is supported by a path-based querying possibility, while other features like transactional behaviour, code generation, and automated validation of input contribute to a more effective, comprehensive, and straightforward usage.
A use-case is provided by the MICO Platform, a centralized software instance that connects autonomous multimedia extractors in a workflow-driven fashion. This leads to a rich metadata background for the inserted multimedia files, enabling them to be used in diverse scenarios as well as unlocking yet hidden semantics. For this task it was necessary to design and implement a metadata model that is able to aggregate and merge the varying extractor results under a common denominator: the MICO Metadata Model.
The results of this work allow the use case to incorporate idiomatic Semantic Web Technologies which are then usable natively by non-Semantic Web experts. Additionally, an increase has been achieved in forms of data integration, synchronisation, integrity and validity, as well as an overall more comprehensive and rich implementation of the multimedia extractors.
Dieser Aufsatz stellt den rahmenden Teil einer kumulativen Dissertation dar, welche an der Universität Passau angenommen wurde. In der Dissertation wird der Mehrwert sowie die Wirkungsweisen von Politiksimulationen untersucht. Die Dissertation verortet sich in den beiden Feldern Politikwissenschaft sowie Politische Bildung, da nachgewiesen werden konnte, das Simulationen in beiden Feldern eine Wirkungsweise entfalten können. Zusätzlich zu diesem rahmenden Teil werden die Details der drei vorgestellten Forschungsprojekte in mehreren Einzelpublikationen intensiv behandelt, welche an den angegebenen Orten zu finden sind.
An increasing number of companies report that eco-sustainable initiatives have a positive impact on firms’ economic performance and concurrently allow the combination of social and commercial goals by optimizing environmental and economic decisions simultaneously. These initiatives are considered an integral part of organizational sustainability transformations, which are a special case of multilayered, complex organizational change efforts that relate to environmental, organizational, and individual factors. Institutional logics and information systems (IS) have shown to be two important perspectives from which to explore mechanisms and processes central to organizational sustainability transformations. Institutional logics offer a unique perspective to investigate organizational change for sustainability because they provide a new approach to organizational change that incorporates macro structures, culture, and agency to explain how actions are enabled or constrained. It thus allows for insights into the complex and miscellaneous interplay of external and internal determinants that govern organizational transformation processes towards sustainability. By providing insights into institutional changes of practice and behaviors, an institutional logic perspective allows for a detailed analysis of organizational transformations. Within these change processes, IS have shown to be an efficient and pervasive tool to leverage sustainability by integrating human and technological factors. Since IS have become a key resource for the encouragement of organizational sustainability transformations, adopting an IS perspective allows for an understanding of mechanisms and processes that enable IS to foster sustainability in organizations. Thus, this dissertation draws on four studies by investigateing an institutional logic perspective as well as an IS perspective to explore organizational sustainability transformations and facilitate an in-depth understanding of organizational, human, and technological factors that encourage sustainability in organizational transformations.
Information has a particular importance in online purchase decision processes. As opposed to consumers in online markets, consumers in online markets cannot inspect the physical product to evaluate it and reduce their perceived risk. Hence, consumers in online markets are dependent upon the information that they can gather about a product in which they are interested. Therefore, they have two primary sources of information: Product descriptions and customer reviews. Both sources affect consumers’ purchase decision processes and hence have an economic impact for consumers, shop providers and manufacturers. It is important to know how these sources of information influence a customer’s online purchase decision and how to extract the relevant information.
To examine these research objectives, several studies applying different methodological approaches have been conducted. The results are presented in this dissertation.
In the age of globalization, exponential growth and digitalization, organizations need to make faster decisions, as well as continually innovate and adapt to changing customer needs to ensure their long-term competitiveness (Kammerlander et al. 2018; Magnusson and Martini 2008). Notably, large and established companies find it difficult to keep up with start-ups and smaller companies as well as with digital transformation (Christensen et al. 2015).
Thus, organizations are increasingly providing their workforce with Enterprise Social Networks (ESNs) as intra-organizational social software platforms.
Although ESNs hold great promises for organizations and their employees (Mäntymäki and Riemer 2016), most ESN initiatives fail to leverage the intended benefits (Chin et al. 2015). This dissertation seeks to open up the black box behind this seemingly paradoxical relationship.
It comprises four studies that are guided by the following research questions:
R 1: How do different types of users (posters and lurkers) differ in their motivations for participating in ESNs? (= Paper 1)
R 2: Why do employees deliberately not use the ESN? (= Paper 2)
R 3: How can ESNs be successfully implemented and improved to overcome the challenges perceived by employees? (= Paper 3)
R 4: Does ESN usage impact on individual task performance? And how can ESNs be used effectively to increase performance outcomes? (= Paper 4)
Overall, the four studies contribute to a better understanding of the non-adoption phenomenon of ESNs, provide rich insights on employees’ underlying reasons and challenges regarding ESN usage, while underscoring the potential value of ESNs.
Die vorliegende publikationsbasierte Dissertationsschrift beschäftigt sich mit dem Phänomen der „Sicherheitsbedrohungen“ aus europäischer und US-amerikanischer Perspektive. Sie bewegt sich damit auf dem Gebiet der Security Studies. Dabei geht die Arbeit von einem erweiterten Verständnis von Sicherheit aus, das über das traditionell militärische Sicherheitsverständnis hinausgeht. Bedrohungen können demzufolge aus verschiedensten Situationen hervorgehen – unter anderem aus Finanzkrisen oder transnationalem Terrorismus. Nichtsdestotrotz stehen auch für die New Security Studies (mit ihrem so verstandenen erweiterten Sicherheitsbegriff) ebenso jene Bedrohungsszenarien im Fokus, die aus zwischenstaatlichen Konflikten resultieren, wie beispielsweise aus dem Ukraine-Russland Konflikt der vergangenen Jahre.
Im Rahmen dieser Arbeit werden die folgenden, zentralen Forschungsziele verfolgt: das Gewinnen von theoretisch-fundierten empirischen Erkenntnissen mit Blick auf ausgewählte Problemfelder der europäischen und US-amerikanischen Außen- und Sicherheitspolitik und mit Blick auf die transatlantischen Beziehungen (1) sowie die Erweiterung und Vertiefung der Securitization-Theorie und ihrer Anwendungsfelder in der Internationalen Politik (2).
This cumulative thesis consists of six single contributions: five independent essays and an introductory chapter. All of the conributions have been published or accepted for publication. The overarching scope of these essays is to analyze different factors accounting for the stability of post-Soviet authoritarian regimes and the obstacles, which Western democracy promoters can face when dealing with autocrats. The starting point for these enquiries has been the striking inability of Western democracies and in particular of the European Union to encourage and to assist political transformation in the majority of the post-Soviet republics.