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New technological applications such as Augmented Reality or Massive Open Online Courses (MOOCs) lead to alternative ways of learning. In order to be able to use this to its potential, the promotion of digital competencies “Digital Competence is the set of knowledge, skills, attitudes, abilities, strategies, and awareness that are required when using ICT and digital media to perform tasks; solve problems; communicate; manage information; collaborate; create and share content; and build knowledge effectively, efficiently, appropriately, critically, creatively, autonomously, flexibly, ethically, reflectively for work, le sure, participation, learning, and socialising.” (Ferrari, 2012). and a corresponding amount of practical "learning-by-doing" effects is required (cf. Ecker/Campbell 2019, p. 154). For this purpose, spaces and framework conditions must be created for application-based learning, which is also increasingly required by the employment market. In this context, we take a closer look at a new emerging subculture in university infrastructure called Maker Movement (MM). Our research work aims at investigating the pedagogical potential of particularly university-integrated makerspaces (MS) to enhance experiential learning with digital tools. To decode the innovative potential, we collected qualitative data from nine in-depth, semi-structured interviews with lab managers and researchers at European MS in six different countries.
In diesem Beitrag untersuchen wir den Zusammenhang zwischen staatlicher Regulierung im Umweltschutz und der Umweltperformanz. Ausgehend von drei theoretischen Perspektiven, welche die Beziehung von Staat und Markt beim Umweltschutz unterschiedlich konzeptualisieren, identifizieren wir fünf Pfade, wie staatlicher Eingriff und Umweltperformanz miteinander verknüpft sein könnten. Wir untersuchen dann die empirische Relevanz dieser Pfade mit einer quantitativen Analyse, die 29 umweltpolitische Maßnahmen in für 37 Länder und den Zeitraum von 1970 bis 2010 umfasst. Dabei finden wir zumindest für einige Politikbereiche und einige Länder Hinweise, die auf eine Effektivität nationalstaatlicher Regulierung hinweisen. Zukünftige Forschung kann auf unserem Rahmen aufbauen, um weitere Hypothesen zum Policy-Outcome-Nexus zu generieren und zu testen.
I argue that Hegel’s Logic traces an emergent-purposive, logical method that entails two key identities in reason. These identities are (1) between a logic of freedom and necessity, and (2) between the possibilities of a priori and a posteriori reasoning in a purposive method. The purposive method of the Logic is the basis for these identities and, in Hegel’s view, facilitates the transition from Kant’s transcendental idealism to absolute idealism. I suggest that this method is Hegel’s attempt to rework a critique of philosophy according to Kant’s insight about the principle grounding the formal purposiveness of the faculties, what Hegel calls, “one of Kant’s greatest services to philosophy.”
Introduction
(2021)
Kant wrote in the Critique of Pure Reason, “For the law of reason to seek unity is necessary, since without it we would have no reason, and without that, no coherent use of the understanding, and, lacking that, no sufficient mark of empirical truth.” This unity of reason, taken as a holistic condition, was central to the convictions of the idealists. To them, Kant layed bare the right path forward, but also fundamental failings in his execution of a critique of reason which needed to be overcome in order for reason to secure its own, internal end. In this chapter, I discuss key themes in the positive inheritance of Kant’s thought in classical German philosophy and offer an overview of the arguments and significances of each contribution to this volume. The aim is not to minimize important differences between Kant and post-Kantian Idealists, but rather to emphasize core retentions of Kant’s thought.
Editorial
(2021)
Modern laser technology and ultrafast spectroscopies have pushed the timescales for detecting and manipulating dynamical processes in molecules from the picosecond over femtosecond domains, to the attosecond regime (1 as = 10(-18) s). This way, real-time dynamics of electrons after their photoexcitation can be probed and manipulated. In particular, experiments are moving more and more from atomic and solid state systems to molecules, opening the fields of "molecular electron dynamics" and "attosecond chemistry." Also on the theory side, powerful quantum dynamical tools have been developed to rationalize experiments on ultrafast electron dynamics in molecular species. <br /> In this contribution, we concentrate on theoretical aspects of ultrafast electron dynamics in molecules, mostly driven by lasers. The dynamics will be described with the help of wavefunction-based ab initio methods such as time-dependent configuration interaction (TD-CI) or the multiconfigurational time-dependent Hartree-Fock (MCTDHF) methods. Besides a survey of the methods and their extensions toward, e.g., treatment of ionization, laser pulse optimization, and open quantum systems, two specific examples of applications will be considered: The creation and/or dynamical fate of electronic wavepackets, and the nonlinear optical response to laser pulse excitation in molecules by high harmonic generation (HHG).
Process mining (PM) has established itself in recent years as a main method for visualizing and analyzing processes. However, the identification of knowledge has not been addressed adequately because PM aims solely at data-driven discovering, monitoring, and improving real-world processes from event logs available in various information systems. The following paper, therefore, outlines a novel systematic analysis view on tools for data-driven and machine learning (ML)-based identification of knowledge-intensive target processes. To support the effectiveness of the identification process, the main contributions of this study are (1) to design a procedure for a systematic review and analysis for the selection of relevant dimensions, (2) to identify different categories of dimensions as evaluation metrics to select source systems, algorithms, and tools for PM and ML as well as include them in a multi-dimensional grid box model, (3) to select and assess the most relevant dimensions of the model, (4) to identify and assess source systems, algorithms, and tools in order to find evidence for the selected dimensions, and (5) to assess the relevance and applicability of the conceptualization and design procedure for tool selection in data-driven and ML-based process mining research.
Ein Recht gegen das Recht
(2022)