In a current research project at the Ansbach University of Applied Science, an AI-based quiz function was created to serve as a voluntary student-oriented support offer to determine their learning progress in their respective courses by means of conducting self-assessment quizzes. The application takes lecture scripts as input and applies a question generation model to create questions that students can answer. In order to evaluate the given answers, another language model is involved to perform Natural Language Inference (NLI). Users can engage with the system via a graphical user interface currently provided via a web app. To assess preliminary feasibility and perception of the model prototype, a qualitative focus group discussion following a semi-structured interview guideline prepared by the research team according to similar studies in the education field (Sek et al. 2012) was conducted with five participants. A transcript of the discussion was prepared and analyzed using the qualitative content analysis method according to Kuckartz. Overall, the quiz function was well received by the participants of the focus group. However, the prototype still has potential when it comes to generating meaningful questions and transparently assigning categories to the given answers. Furthermore, the quiz parameters should be individually adjustable by users. In the following paper, the development of the service is illustrated by outlining the considerations for the application design and the training procedure of the language models. Afterwards, the design of the qualitative focus group is described including the presentation of the results.

This study investigates the potential benefits and drawbacks of adding hydrogen to natural
gas grids on stationary cogeneration plants. Fuel blended with up to 30% hydrogen by
volume was tested using a commercial six-cylinder spark ignition engine designed for pure
natural gas operation without modifications to the engine. In line with normal practice for
cogeneration plant engines, the power output, the lower heating value of the air/fuel
mixture, the ignition timing and the engine speed were held constant. Results show that
increasing hydrogen concentration led to an earlier peak cylinder pressure, indicating
significantly accelerated combustion. As a result, peak pressures were up to 39% higher
than with natural gas and up to 10% of fuel burned before top dead center. Despite this,
thermal efficiency improved up to 6%. Cycle-by-cycle variation decreased by half, indi-
cating reduced misfires on account of hydrogen. However, nitrogen oxide emissions
increased exponentially with increasing hydrogen amounts. Our findings suggest that
hydrogen-enriched natural gas is a promising fuel for stationary cogeneration plants, but
modifications to engine control settings are necessary to ensure optimal performance and
compliance with nitrogen oxide emission regulations. These modifications might include
adjustments to the mixture control system and ignition timing.

Ambidextrie im Innovationsmanagement bezieht sich auf die Fähigkeit eines Unternehmens, sowohl das Kerngeschäft zu stärken (Exploit) als auch mit neuen Angeboten in bestehenden oder neuen Märkten zu agieren (Explore). Dabei besteht die Herausforderung darin, beide Innovationsmodi in einer komplementären Art und Weise einzusetzen, anstatt sich auf einen der beiden Modi zu beschränken. Eine ambidextre Ausrichtung und die Fähigkeit, beide Innovationsmodi, Exploit und Explore, gleichzeitig und in dem Maß einzusetzen, das die Umstände erfordern, ermöglicht es Unternehmen, schnell auf Veränderungen in der Branche zu reagieren und sich langfristig im Markt zu behaupten. Für eine erfolgreiche Umsetzung von Ambidextrie im Innovationsmanagement spielen die Unternehmenskultur, der Führungsstil resp. das Führungsverständnis ebenso eine Rolle, wie Grundsatzentscheidungen in Bezug auf die Digitalisierung. Es ist entscheidend, dass Unternehmen die Potenziale von Ambidextrie erkennen und lernen, den Exploit- und Explore-Modus gezielt und optimal einzusetzen, um langfristig Wettbewerbsvorteile zu erzielen. Dieser Grundlagenartikel fokussiert insbesondere auf die im weiteren Heft weniger angesprochenen Themenbereiche. Er ordnet die Ambidextrie im Innovationsmanagement anhand der Themenfelder Kultur, Führung und Digitalisierung ein und liefert Argumente, weshalb die Akzeptanz und Nutzung von Ambidextrie zu Wettbewerbsvorteilen führen.