Global ETD Search

1	Local- and Cluster Weighted Modeling for Prediction and State Estimation of Nonlinear Dynamical Systems / Lokale- und Cluster-Weighted-Modellierung zur Vorhersage und Zustandsschätzung nichtlinearer dynamischer Systeme Engster, David 24 August 2010 (has links) No description available. 530 Physik Physics Modellierung Black-Box-Modellierung Cluster-Weighted-Modelle Lokale Modelle Nächste-Nachbar-Methoden Aktives Lernen Maschinelles Lernen Probabilistische Scores Modeling Black-Box-Modeling Clustering Cluster-Weighted-Models Local Modeling Nearest-Neighbor-Methods Active Learning Machine Learning Probabilistic Scores 30.20 33.06
2	Improving Student Interest, Mathematical Skills, and Future Success through Implementation of Novel Mathematics Bridge Course for High School Seniors and Post-secondary Students Webb, Derek, Richgels, Glen, Wolf, Marty J., Frauenholtz, Todd, Hougen, Ann 11 May 2012 (has links) (PDF) We present a new course titled “Introduction to the Mathematical Sciences.” The course content is 1/3 algebra, 1/3 statistics, and 1/3 computer science and is taught in a laboratory environment on computers. The course pedagogy departs radically from traditional mathematics courses taught in the U.S. and makes extensive use of spreadsheet software to teach algebraic and statistical concepts. The course is currently offered in area high schools and two-year postsecondary institutions with financial support from a Blandin Foundation grant (referenced under BFG). We will present empirical evidence that indicates students in this course learn more algebra than students in a traditional semester-long algebra course. Additionally, we present empirical evidence that students learn statistical and computer science topics in addition to algebra. We will also present the model of developing this course which depended on increasing future student success in a variety of disciplines at the post-secondary level of study. Aktives Lernen alternative Mathematiklehrpläne Studienerfolg Verbesserte Hochschullehre Integrierte Mathematiklehrpläne Schülerorientierte Mathematik Statistik Informatik Active learning Alternative mathematics curriculum College success Improved student learning Integrative mathematics curriculum Student oriented math statistics computer science ddc:510 rvk:SD 2009
3	Choosing the appropriate Audience Response System in different Use Cases Kubica, Tommy, Hara, Tenshi, Braun, Iris, Kapp, Felix, Schill, Alexander 18 December 2020 (has links) Education in schools and universities suffers from different problems like the lack of interaction between the lecturer and the students as well as the fear of asking irrelevant questions or providing wrong answers in front of a large audience. A lot of systems exist that try to solve these issues by means of technical tools; e.g., audience response systems. Each of these individual systems supports different functional scopes with different didactic purposes in order to support specific use cases. For the lecturer, it is very hard to choose an appropriate system. Besides the functional scope, there are a lot of predefined limitations, such as a given room with technical restrictions or a favorite operating system and presentation software to present the slides. This paper gives an overview of fifty existing systems (with varying degree of detail) and proposes a filter mechanism based on the index card metaphor to select appropriate systems depending on their individual limitations. In order to simplify this selection process for the lecturer, the filter mechanism is implemented in a web-based selection tool. info:eu-repo/classification/ddc/004 ddc:004 info:eu-repo/classification/ddc/000 ddc:000 info:eu-repo/classification/ddc/330 ddc:330
4	Improving Student Interest, Mathematical Skills, and Future Successthrough Implementation of Novel Mathematics Bridge Course for High School Seniors and Post-secondary Students Webb, Derek, Richgels, Glen, Wolf, Marty J., Frauenholtz, Todd, Hougen, Ann 11 May 2012 (has links) We present a new course titled “Introduction to the Mathematical Sciences.” The course content is 1/3 algebra, 1/3 statistics, and 1/3 computer science and is taught in a laboratory environment on computers. The course pedagogy departs radically from traditional mathematics courses taught in the U.S. and makes extensive use of spreadsheet software to teach algebraic and statistical concepts. The course is currently offered in area high schools and two-year postsecondary institutions with financial support from a Blandin Foundation grant (referenced under BFG). We will present empirical evidence that indicates students in this course learn more algebra than students in a traditional semester-long algebra course. Additionally, we present empirical evidence that students learn statistical and computer science topics in addition to algebra. We will also present the model of developing this course which depended on increasing future student success in a variety of disciplines at the post-secondary level of study. info:eu-repo/classification/ddc/510 ddc:510

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