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Scientific classifications
- 1. Natural sciences
- 1.5 Earth and related Environmental sciences
- Physical geography
- 1.5 Earth and related Environmental sciences
- 1.2 Computer and information sciences
- Computer sciences
- information science
Main research areas
The aim of my doctoral research was to explore the possibility of integrating robotics into science education. After exploring the possibilities, I worked on the creation of a complex curriculum/assistance material to link computer science lessons and science lessons through robotics. Through the examples, students can see an aspect of programming that relates to everyday life and thus facilitates the learning process. And, based on the national curricula, these units of study will also be used in later grades, where there is also a case for implementing this type of robotics modelling.
The uniqueness of my research lies in the linking of two different subjects and in the implementation of an implementation which, based on feedback, can be considered unique at international level. The essence of my methodology is that students create their own products used for modelling in science lessons, thus reinforcing their understanding of the subject and stimulating their interest. And in the process of implementing basic natural processes in a digital environment, students acquire elementary knowledge that they can build on later in both computer science and science.
The use of robotics is often limited to digital culture or to a limited number of specialised courses. One of the aims of my research was to create an opportunity in the context of public education to bring together IT and science in order to give children the opportunity to see the foundations of the inevitable link between the two fields. In the following, I will present the main steps and results of the research in chronological order.
I have been a member of the organising team of the national Bebras, or E-beaver, competition since 2017. During the competitions in recent years, we have been conducting questionnaire evaluations with an international team to assess the motivation of the teachers participating in the initiative. Further research is planned to identify and eliminate factors that influence the effectiveness of solving tasks among students of different genders.