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Autor/inn/enMazurok, Tetiana; Chernykh, Volodymyr
TitelKnowledge-Based Approach to Adaptive Selection of Equipment for Teaching Robotics
[Konferenzbericht] Paper presented at the International Baltic Symposium on Science and Technology Education (BalticSTE2019) (3rd, Šiauliai, Lithuania, Jun 17-20, 2019).
Quelle(2019), (5 Seiten)
PDF als Volltext kostenfreie Datei Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterForeign Countries; Robotics; Equipment; Higher Education; Secondary Education; Programming; Information Science; Extracurricular Activities; Ukraine
AbstractInnovations and progress in teaching, introduction of new academic disciplines in the curricula, changes in the paradigm of school education in Ukraine, the search for innovative tools, techniques and teaching methods, especially teaching STEAM create a good basis for teaching robotics. However, the organization of classes in robotics requires the creation of a special educational ecosystem, which important element is the technical base (equipment). It is not a secret, that administrative staff who sometimes even do not have required experience in technology are often engaged in the procurement of equipment and its selection. The current study was conducted to solve this problem, as well as to create a universal recommendation for creating an appropriate ecosystem for teaching robotics As part of the study, the task was to develop a prototype of an expert decision-making system for selecting of an appropriate equipment and zoning of a classroom (ICR) for conducting classes in robotics. Knowledge-oriented approach was used to create the prototype. [For the full proceedings, see ED619611.] (As Provided).
AnmerkungenScientia Socialis Ltd. 29 K. Donelaicio Street, LT-78115 Siauliai, Republic of Lithuania. e-mail: scientia@scientiasocialis.lt; Web site: https://www.scientiasocialis.lt/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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