Module

RoboPraX

RoboTeach Module

RoboPraX in Teacher Education

With the module RoboTeach, students are prepared for the digital challenges in their future profession and beyond by means of new teaching concepts. The practical basis for this new approach is provided by humanoid robots NAO of the version V5 and the administraive tools and development environments available for their development.


RoboTeach consists of the online preliminary course RoboBase, which introduces the basics of assistant robotics in education as well as the principles of robot development via five digital learning units, and the practical part Robotikum as a block event.

The online learning units of RoboBase are to be worked through in the first weeks of the semester, followed by five days of Robotikum, each day lasting for 3.5 hours. After the Robotikum, students will be working and improving their final projects and present them in the last session. 


In this process, future teachers are introduced to specific problem-solving strategies required for the digital world and develop them further. Algorithmic thinking can thus, be developed and strengthened as well.


RoboTeach also deals with general aspects of digitization (data organization, data security, licensing models, media technology, multimedia, artificial intelligence) that can be experienced not only theoretically but also practically thanks to our robots. In the Robotikum, which is the central part of RoboTeach, participants develop dialogue principles required for human-machine communication, understand how machines move, and recognize objects, how they evaluate the recognized data and how complex actions are algorithmically controlled. In addition, they learn to organize necessary data packages and to use them acccordingly with knowledge on the existing copyright regulations. The concept will be didactically revised, also with regard to its use in school (subject) teaching. The number of participants in Robotikum is limited to 12.


Content and qualification goals (competencies):

•   Develop/strengthen algorithmic thinking

•   (Further) develop and apply problem-solving strategies

•   Learning block-based programming and applying it in a school context

•   Acquire (action) knowledge about humanoid robots

•   Reflection on the possible applications of humanoid robots in education

•   Teaching and learning with new media



Details about the final projects can be found here.


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