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1. Introduction of China’s bank reform 1.1 Stage 1 (1978–1993): Rebuilding the financial system 1.2 Stage 2 (1994–1997): Regulating the financial system 1.3 Stage 3 (1998–2002): Deepening reform of state-owned commercial banks 1.4 Stage 4 (2003-present): Public listing of state-owned banks 2. The roles of SWF in China’s bank reform 3. Future challenges
Die besondere Beziehung zwischen Humboldt und Darwin, zwei der bedeutendsten Persönlichkeiten in der Welt der Naturwissenschaften und der Biologie des 19. Jahrhunderts, wird detailliert auf den verschiedenen Ebenen ihres Kontaktes analysiert, sowohl was das real stattgefundene persönliche Treffen betrifft, als auch hinsichtlich ihrer Korrespondenz und der Koinzidenz von Ideen. Dieser wechselseitige Blick zeigt uns wie sich die beiden Gelehrten gegenseitig wahrnahmen, ob sie wirklich versuchten, mit dem Paradigma ihrer bedeutenden Vorgänger zu brechen, oder ob sie lediglich schrittweise das bereits erlangte Wissen erweiterten, bis es durch die Erstellung einer genialen Idee zu einem Bruch des bisherigen Wissens kommt. Bekannt ist die wiederholte Referenz von Darwin auf die Werke Humboldts, insbesondere auf die Tagebücher des deutschen Naturwissenschaftler und seine Art der Beschreibung der amerikanischen Natur in ihrer ganzen Reichhaltigkeit. Weniger bekannt hingegen sind andere Verweise in seiner Autobiografie, sowie die wissenschaftliche Verwendung des Humboldtschen Werkes oder die Zitate in seiner Korrespondenz, die in diesem Beitrag aufgezeigt werden. Darüber hinaus wird die Verwendung der frühen Schriften von Darwin durch Humboldt in einigen seiner Publikationen, vor allem im Kosmos, erwähnt.
Inhalt: Introduction: The problem at hand Approaches to EU’s external identity making Mechanisms of external identity making Theoretical approaches to the EU’s external identity making The EU’s external identity promotion The ENP policy instruments Conclusions References
Recently, interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognising the value of learning analytics for improving not only learning and teaching but also the entire educational arena. However, theoretical concepts and empirical evidence need to be generated within the fast evolving field of learning analytics. In this paper, we introduce a holistic learning analytics framework. Based on this framework, student, learning, and curriculum profiles have been developed which include relevant static and dynamic parameters for facilitating the learning analytics framework. Based on the theoretical model, an empirical study was conducted to empirically validate the parameters included in the student profile. The paper concludes with practical implications and issues for future research.
Challenges and proposals for introducing digital certificates in higher education infrastructures
(2023)
Questions about the recognition of MOOCs within and outside higher education were already being raised in the early 2010s. Today, recognition decisions are still made more or less on a case-by-case basis. However, digital certification approaches are now emerging that could automate recognition processes. The technical development of the required machinereadable documents and infrastructures is already well advanced in some cases. The DigiCerts consortium has developed a solution based on a collective blockchain. There are ongoing and open discussions regarding the particular technology, but the institutional implementation of digital certificates raises further questions. A number of workshops have been held at the Institute for Interactive Systems at Technische Hochschule Lübeck, which have identified the need for new responsibilities for issuing certificates. It has also become clear that all members of higher education institutions need to develop skills in the use of digital certificates.
To implement OERs at HEIs sustainably, not just technical infrastructure is required, but also well-trained staff. The University of Graz is in charge of an OER training program for university staff as part of the collaborative project Open Education Austria Advanced (OEAA) with the aim of ensuring long-term competence growth in the use and creation of OERs. The program consists of a MOOC and a guided blended learning format that was evaluated to find out which accompanying teaching and learning concepts can best facilitate targeted competence development. The evaluation of the program shows that learning videos, self-study assignments and synchronous sessions are most useful for the learning process. The results indicate that the creation of OERs is a complex process that can be undergone more effectively in the guided program.
In the recent literature there is a hypothesis that the human parser uses number and case information in different ways to resolve an initially incorrect case assignment. This paper investigates what role morphological case information plays during the parser’s detection of an ungrammaticality or its recognition that a reanalysis is necessary. First, we compare double nominative with double accusative ungrammaticalities in a word by word, speeded grammaticality task and in this way show that only double nominatives lead to a so-called ”illusion of grammaticality” (a low rate of ungrammaticality detection). This illusion was found to disappear when the second argument was realized by a pronoun rather than by a full definite determiner phrase, i.e. when the saliency of the second argument was increased. Thus, the accuracy in recognizing an ungrammaticality induced by the case feature of the second argument is dependent on the type of this argument. Furthermore, we found that the accuracy in detecting such case ungrammaticalities is distance sensitive insofar as a shorter distance leads to a higher accuracy. The results are taken as support for an ”expectationdriven” parse strategy in which the way the parser uses the information of a current input item depends on the expectation resulting from the parse carried out so far. By contrast, ”input-driven” parse strategies, such as the diagnosis model (Fodor & Inoue, 1999) are unable to explain the data presented here.