20.01.2025 | Zwei Beiträge auf HICSS 2025

Die Professur für Anwendungssysteme und E-Business ist mit zwei Beiträgen auf der Hawaii International Conference on System Sciences (HICSS 2025) vertreten:



Christine Jokisch präsentiert den Beitrag:
Empirical Insights on the Impact of Technology Affinity on Programming Skill Development through an Adaptive Game-Based Learning System



Abstract: Programming skills have been a crucial skill for (computer science) students. The level of technology affinity, encompassing a student’s confidence in technology, can impact skill development. Students with high technology affinity may engage more confidently with programming tasks, while those with lower affinity might struggle with the initial learning curve. We used the adaptive Digital Game-Based Learning System (DGBL) system "Lost in Code", and conducted a field experiment with 66 students majoring in Business Administration or Information Systems. We analyzed the relationships between students' technology affinity, motivation, and learning outcomes in a PLS-SEM. Our findings show that the technology affinity impacts the perceived enjoyment, pressure and competence positively. Additionally, prior knowledge does not influence the motivation. We combined these findings with qualitative feedback and discuss the potential of adaptive DGBL systems.



Tamino Marahrens präsentiert den Beitrag:
Industrial Insights: Evaluating a Hierarchical Digital Twin in an Industrial Production Setting



Abstract: This paper evaluates a prototypical hierarchical digital twin (HDT) for industrial production environments, addressing the gap in practical evaluations of digital twin concepts. The HDT integrates data from various production levels, offering a comprehensive virtual representation of the physical production environment. A qualitative interview study was conducted with 14 practitioners from different industrial sectors to assess the HDT's utility and gather feedback. The study identified key data classes, performance indicators, and functions necessary for effective HDT implementation. Results indicate that the HDT provides significant benefits in monitoring, simulation, and control of production processes, aligning with scientific perspectives while highlighting practical enhancements. This evaluation informs future HDT development and implementation strategies in industrial settings.