Korkut, Safak
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Introducing case study audio podcasts in business and information systems studies
2023, Jäger, Janine, Korkut, Safak, Inglese, Terry, Schmiedel, Theresa
The paper presents a project of the School of Business of the University of Applied Sciences and Arts Northwestern Switzerland in which the project team is developing case study podcasts together with Swiss-based technology startups to apply them in case-based teaching in Business and Information Systems study programs. The goal of the project is to facilitate students' access to case study contexts by allowing them to listen to podcasts for self-study and develop solutions for practice-oriented business and technology challenges in the classroom and guided group work. This provides an engaging blended learning approach for the students through increased motivation to consume the learning material as well as a deeper connection to the study material, compared to the more commonly applied text-based case studies. This can enable much more productive classroom discussions and group work and could therefore provide improved learning outcomes, such as increased reflection, critical thinking, as well as analytical and problem-solving skills. The paper enriches the blended learning debate with details about the case study podcast production from a content-related, technological and didactical perspective as well as provides insights into the planned evaluation of the application of case study podcasts with regard to learning outcomes.
Customer Experience Modelling and Analysis Framework - A Semantic Lifting Approach for Analyzing Customer Experience
2016-12-12, Lammel, Benjamin, Korkut, Safak, Hinkelmann, Knut
Augmented reality to complement printed guidebooks with dynamic information: a case study in planning a climbing tour
2020, Sulger, Mathias, Korkut, Safak, Dornberger, Rolf
Investigating the democracy behavior of swarm robots in the case of a best-of-n selection
2018, Pochon, Yann, Dornberger, Rolf, Zhong, Jia, Korkut, Safak, Sundaram, Suresh
In swarm robotics, a challenging task is to let the decentralized acting agents make a joint decision, when the individual robots of the swarm only have partial knowledge of the search space. In this paper, we propose a new nature-inspired method for decision-making in the case of a best-of-n selection, investigating the democracy behavior of honeybees and implementing it in swarm robots. The feasibility of our model is tested using a swarm consisting of real hardware robots, the so-called Kilobots. It is shown that our proposed democratic model proves to be resistant to malicious manipulation in the consensus-finding process. Thus, the democracy behavior of honeybees implemented in swarm robots robustly finds the best-of-n selection.