TY  - CHAP
A1  - Kramer, Pia
A1  - Bragard, Michael
A1  - Ritz, Thomas
A1  - Ferfer, Ute
A1  - Schiffers, Tim
T1  - Visualizing, Enhancing and Predicting Students’ Success through ECTS Monitoring
T2  - 2024 IEEE Global Engineering Education Conference (EDUCON)
N2  - This paper serves as an introduction to the ECTS monitoring system and its potential applications in higher education. It also emphasizes the potential for ECTS monitoring to become a proactive system, supporting students by predicting academic success and identifying groups of potential dropouts for tailored support services. The use of the nearest neighbor analysis is suggested for improving data analysis and prediction accuracy.
KW  - Monitoring
KW  - Engineering education
KW  - Data visualization
KW  - Accuracy
KW  - Data analysis
Y1  - 2024
U6  - https://doi.org/10.1109/EDUCON60312.2024.10578652
SN  - 2165-9559
SN  - 2165-9567 (eISSN)
N1  - 2024 IEEE Global Engineering Education Conference (EDUCON), 08-11 May 2024, Kos Island, Greece
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Rütters, René
A1  - Bragard, Michael
A1  - Dolls, Sarah
T1  - The Inverted Rotary Pendulum: Facilitating Practical Teaching in Advanced Control Engineering
T2  - 2024 IEEE Global Engineering Education Conference (EDUCON)
N2  - This paper outlines a practical approach to teach control engineering principles, with an inverted rotary pendulum, serving as an illustrative example. It shows how the pendulum is embedded in an advanced course of control engineering. This approach is incorporated into a flipped-classroom concept, as well as classical teaching concepts, offering students practical experience in control engineering. In addition, the design of the pendulum is shown, using a Raspberry Pi as the target platform for Matlab Simulink. This pendulum can be used in the classroom to evaluate the controller design mentioned above. It is analysed if the use of the pendulum generates a deeper understanding of the learning contents.
KW  - Matlab
KW  - Engineering education
KW  - Online services
KW  - Software packages
KW  - Electronic learning
KW  - Control engineering
Y1  - 2024
U6  - https://doi.org/10.1109/EDUCON60312.2024.10578937
SN  - 2165-9559
SN  - 2165-9567 (eISSN)
N1  - 2024 IEEE Global Engineering Education Conference (EDUCON), 08-11 May 2024, Kos Island, Greece
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Becker, Tim
A1  - Bragard, Michael
T1  - Low-Voltage DC Training Lab for Electric Drives - Optimizing the Balancing Act Between High Student Throughput and Individual Learning Speed
T2  - 2024 IEEE Global Engineering Education Conference (EDUCON)
N2  - After a brief introduction of conventional laboratory structures, this work focuses on an innovative and universal approach for a setup of a training laboratory for electric machines and drive systems. The novel approach employs a central 48 V DC bus, which forms the backbone of the structure. Several sets of DC machine, asynchronous machine and synchronous machine are connected to this bus. The advantages of the novel system structure are manifold, both from a didactic and a technical point of view: Student groups can work on their own performance level in a highly parallelized and at the same time individualized way. Additional training setups (similar or different) can easily be added. Only the total power dissipation has to be provided, i.e. the DC bus balances the power flow between the student groups. Comparative results of course evaluations of several cohorts of students are shown.
KW  - Synchronous machines
KW  - Power dissipation
KW  - Throughput
KW  - Low voltage
KW  - DC machines
KW  - Manifolds
KW  - Training
Y1  - 2024
U6  - https://doi.org/10.1109/EDUCON60312.2024.10578902
SN  - 2165-9559
SN  - 2165-9567 (eISSN)
N1  - 2024 IEEE Global Engineering Education Conference (EDUCON), 08-11 May 2024, Kos Island, Greece
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Vladova, Gergana
A1  - Ullrich, André
A1  - Sultanow, Eldar
A1  - Tobolla, Marinho
A1  - Sebrak, Sebastian
A1  - Czarnecki, Christian
A1  - Brockmann, Carsten
T1  - Visual analytics for knowledge management
T2  - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten
N2  - The management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.
Y1  - 2023
SN  - 978-3-88579-731-9
U6  - https://doi.org/10.18420/inf2023_187
SN  - 1617-5468
N1  - INFORMATIK 2023, 26. - 29. September 2023, Berlin
SP  - 1851
EP  - 1870
PB  - GI - Gesellschaft für Informatik
CY  - Bonn
ER  -