Modern teaching methods in action in statistical classes
| Autor: | Klára Kazár, Péter Kovács, Éva Kuruczleki, Tamás Attila Rácz, Lilla Lipták |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Statistical Journal of the IAOS. 37:899-919 |
| ISSN: | 1875-9254 1874-7655 |
| DOI: | 10.3233/sji-210843 |
| Popis: | To act as a responsible member of a democratic society, everybody needs statistical literacy and practical knowledge on how to use statistical data, visualization, and methods. In the case of professions that use or produce statistical data the correct use of statistics and statistical thinking are also important. Practice and knowledge applicable in real life are also needed. To reach these requirements, using real-life problems, modern technologies (digital solutions, online tools) and up-to-date teaching methods tailored to the target audiences is crucial. Several papers show that the use of real problems, technology and modern teaching methods are more efficient than the traditional frontal teaching method. In this study, we describe some new teaching methods, for instance problem-based learning, project-based learning, thinking-based learning, flipped classroom, gamification, new technological devices. We also discuss the combination of different methods and modern technology in action in the field of Statistics. The paper shares our developments, experiences, and lessons we learnt from classes. One of our main results is the idea that the use of modern teaching approaches leads to more practical and applicable knowledge; however, their success also depends on both the educators’ and the students’ time expenditure and attitude. |
| Databáze: | OpenAIRE |
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