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Daily Overview |
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UMT1: University Mathematics Teaching: Challenges and Chances
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Teaching programming: Coding the MB-6703 Uni Siegen, Germany The work at hand introduces the model of a new, tiny mpu, the 6703.The architecture follows the design of the legendary 6502. Main difference is the significant reduced instruction set from 56 to 4 commands. Since 2017 we focus on FEM (Find Easy Math), starting with a lecture „Numerics unplugged“. How can AI be integrated into a traditional undergraduate lecture? A report on an experiment University of Kassel, Germany Artificial intelligence is having an increasing impact on research and teaching, including (and perhaps especially) in mathematics courses. The traditional practice of copying answers is often being replaced by a query to ChatGPT. One can either lament this trend or try to develop new strategies for teaching and learning. In the framework of the projekt HALMA I decided to give it a try in the course "Ordinary differential equations". Students’ experiences with AI were assessed through questionnaires, but also through personal discussions. Due to the absence of experience on my side it was a lot of trial and error. This presentation will showcase several examples from this experiment as well as findings from student surveys. Digital Maths Tasks with STACK and the STACK project DZdA TH Würzburg-Schweinfurt, Germany We present some features and application scenarios of the assessment-tool STACK and introduce the project DZdA which supports lecturers across German universities to use STACK. STACK is an open-source mathematics assessment tool available as a plug-in for Moodle and ILIAS platforms backed by an active community of users and developers, primarily comprising mathematicians. As a core principle, students should enter the answers themselves assisted by a real-time preview of their input. The students‘ answers can be analysed by the integrated computer algebra system Maxima which enables immediate individualised feedback and partial marking. Moreover, Maxima enables to randomise tasks and to set up example generation exercises. STACK provides high flexibility by supporting various input types and the integration of dynamical geometry software as JSXGraph and GeoGebra. | ||



