Computational Thinking and STEM in Agriculture Vocational Training: A Case Study in a Greek Vocational Education Institution
| Autor: | Eleni Symeonaki, Dimitrios Loukatos, Dimitris Papachristos, Eleftherios Chondrogiannis, Konstantinos G. Arvanitis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Emerging technologies
lcsh:BF1-990 Agricultural education Sample (statistics) 02 engineering and technology Article computational thinking problem solving 020204 information systems Agriculture education and training 0202 electrical engineering electronic engineering information engineering Developmental and Educational Psychology Mathematics education ComputingMilieux_COMPUTERSANDEDUCATION media_common.cataloged_instance European union Applied Psychology Philosophical methodology media_common Pace Computational thinking lcsh:Public aspects of medicine 05 social sciences 050301 education lcsh:RA1-1270 STEM Clinical Psychology lcsh:Psychology Vocational education 0503 education |
| Zdroj: | European Journal of Investigation in Health, Psychology and Education, Vol 11, Iss 18, Pp 230-250 (2021) European Journal of Investigation in Health, Psychology and Education Volume 11 Issue 1 Pages 18-250 |
| ISSN: | 2254-9625 |
| Popis: | Due to the dynamic nature of the agricultural industry, educators and their institutions face difficult challenges as they try to keep pace with future demands for knowledge and skilled workers. On the other hand, computational thinking (CT) has drawn increasing attention in the field of science, technology, engineering, and mathematics (STEM) education at present and, as advanced technologies and tools emerge, it is imperative for such innovations to be sustained with knowledge and skill among STEM educators and practitioners. The present case study aims to explore the relation between CT, STEM and agricultural education training (AET) in a Greek vocational training institute (IEK), the Agriculture IEK of Metamorfosis city (IEKMC), which is active in agriculture education. The research methodology is utilized according the positivist philosophical approach through data acquisition employing a questionnaire and the quantitative (statistical) analysis of data collected. The sample consists of IEKMC educators and students selected based on simple random sampling. Based on the participants belief that CT and STEM philosophy add value in the learning process, it focuses on the application of knowledge in the real world (students) and problem solving using new technologies (educators). Educators consider “experiments” as the most significant educational tool for problem solving in teaching practice. Students rate Greek Agriculture Education and Training (GAET) higher than educators. However, the participants evaluate GAET very low due to the lack of new innovative teaching methods being introduced. Finally, there is great interest in the implementation of CT and STEM in the European Union (EU) by students and educators. |
| Databáze: | OpenAIRE |
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