Abstract:
Many concepts in digital signal processing are intuitive, despite being mathematically challenging. The lecturer not only has to teach the complicated math but should als...Show MoreMetadata
Abstract:
Many concepts in digital signal processing are intuitive, despite being mathematically challenging. The lecturer not only has to teach the complicated math but should also help students develop intuition about the concept. To aid the lecturer in this task, the Magnitude Response Learning Tool has been introduced, a computer-based learning game addressing the connection between the pole/zero chart of a discrete-time linear time-invariant (LTI) system and its magnitude response. In each game round, the student has to draw a magnitude response given only the poles and zeros of the LTI system. The accuracy of the student's estimate acts as a game score, allowing leaderboards and player-versus-player comparisons on the tool's webpage. This paper analyzes how the tool affects student performance. While the qualitative results show that the students are satisfied with the tool and consider it a useful supplement to the available teaching material, the quantitative part of the study suggests a strong positive correlation between the number of rounds played and the student performance in related tasks.
Published in: IEEE Transactions on Education ( Volume: 59, Issue: 4, November 2016)
Funding Agency:
Signal Processing and Speech Communication Laboratory, University of Graz, Graz, Austria
Florian Kulmer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for signal processing with Graz University of Technology. During his graduate studies, he studi...Show More
Florian Kulmer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for signal processing with Graz University of Technology. During his graduate studies, he studi...View more
Signal Processing and Speech Communication Laboratory, University of Graz, Graz, Austria
Christian Gun Wurzer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for real-time operating systems and signal processing with Graz University of Technology....Show More
Christian Gun Wurzer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for real-time operating systems and signal processing with Graz University of Technology....View more
Signal Processing and Speech Communication Laboratory, Technical University of Munich, Munich, Germany
Bernhard C. Geiger (S'07–M'14) received the Dipl.-Ing. degree (with distinction) in electrical engineering and the Dr. Tech. degree (with distinction) in electrical and information engineering from Graz University of Technology, Graz, Austria, in 2009 and 2014, respectively.
In 2009, he joined, as a Project Assistant, the Signal Processing and Speech Communication Laboratory, Graz University of Technology, where he became ...Show More
Bernhard C. Geiger (S'07–M'14) received the Dipl.-Ing. degree (with distinction) in electrical engineering and the Dr. Tech. degree (with distinction) in electrical and information engineering from Graz University of Technology, Graz, Austria, in 2009 and 2014, respectively.
In 2009, he joined, as a Project Assistant, the Signal Processing and Speech Communication Laboratory, Graz University of Technology, where he became ...View more
Contents Signal Processing and Speech Communication Laboratory, University of Graz, Graz, Austria
Florian Kulmer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for signal processing with Graz University of Technology. During his graduate studies, he studied one semester abroad at the University of Leuven, Leuven, Belgium. His research interests include artificial intelligence and digital signal processing.
Florian Kulmer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for signal processing with Graz University of Technology. During his graduate studies, he studied one semester abroad at the University of Leuven, Leuven, Belgium. His research interests include artificial intelligence and digital signal processing.View more
Signal Processing and Speech Communication Laboratory, University of Graz, Graz, Austria
Christian Gun Wurzer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for real-time operating systems and signal processing with Graz University of Technology. His research interests include artificial intelligence and embedded systems.
Christian Gun Wurzer received the B.Sc. degree from Graz University of Technology, Graz, Austria, in 2015. He is currently pursuing the B.A. degree in economics at the University of Graz, Graz, Austria, and the M.Sc. degree in information and computer engineering at Graz University of Technology.
He is also currently a Study Assistant for real-time operating systems and signal processing with Graz University of Technology. His research interests include artificial intelligence and embedded systems.View more
Signal Processing and Speech Communication Laboratory, Technical University of Munich, Munich, Germany
Bernhard C. Geiger (S'07–M'14) received the Dipl.-Ing. degree (with distinction) in electrical engineering and the Dr. Tech. degree (with distinction) in electrical and information engineering from Graz University of Technology, Graz, Austria, in 2009 and 2014, respectively.
In 2009, he joined, as a Project Assistant, the Signal Processing and Speech Communication Laboratory, Graz University of Technology, where he became a Research and Teaching Associate in 2010. He is currently a Postdoctoral Researcher with the Institute for Communications Engineering, Technical University of Munich, Munich, Germany. His research interests cover information theory for signal processing, information-theoretic model reduction for Markov chains and hidden Markov models, and information-theoretic clustering.
Bernhard C. Geiger (S'07–M'14) received the Dipl.-Ing. degree (with distinction) in electrical engineering and the Dr. Tech. degree (with distinction) in electrical and information engineering from Graz University of Technology, Graz, Austria, in 2009 and 2014, respectively.
In 2009, he joined, as a Project Assistant, the Signal Processing and Speech Communication Laboratory, Graz University of Technology, where he became a Research and Teaching Associate in 2010. He is currently a Postdoctoral Researcher with the Institute for Communications Engineering, Technical University of Munich, Munich, Germany. His research interests cover information theory for signal processing, information-theoretic model reduction for Markov chains and hidden Markov models, and information-theoretic clustering.View more
