There is high demand for qualified Information and Communication Technology (ICT) practitioners in the European labor market. In Estonia, the problem is not a low number of ICT students but a high dropout rate. The aim of this study is to find how it is possible to predict first-year dropout in higher education ICT studies and possibly to engage methods to decrease dropout rate. Data was collected from 301 first-year ICT students in Estonia who filled in a questionnaire at the beginning of the first semester and after the first semester. Additionally, some information was collected electronically during the admission process. The results showed that on average, 32.2% of the ICT students in Estonia dropped out during the first study-year. It was found that students who dropped out had lower scores in the state mathematics exam. This means that the score of the mathematics exam is one characteristic that can predict dropout during the first study-year. At the beginning of the studies there were not many differences in students' perception of their interest and how well the studies met their expectations. However, the answers received after the first semester showed some statistically significant differences between the students who dropped out during the first study-year and those who did not. Differences occurred, e.g., in the case of the following questions: how big their interest in ICT was, how well the studies met their expectations, how pleasant studying was for them, and how high they felt was the probability of them finishing their studies. It can be concluded that asking questions after the first semester gives information to universities as to who are about to drop out. Based on the information universities can support their students to retain them. The results support some factors that were found in literature to be important for avoiding dropout (e.g., motivation, earned credit points, prior studies, expectations), but in some cases the results of this study are different than the literature suggests (e.g., age, gender, working during studies, number of friends in the ICT field). It could be that these factors are not that important in influencing first-year dropout in ICT studies.
The methodology and ideas behind educational robotics arise from the 1960s, when the first hardware platforms together with computers were used in research studies in schools. Since the 1990s, the market for educational robotics has grown, and there are many solutions available to use in schools. Despite a wide variety of platform approaches for using robots in education, they are still based on ideas that are decades old. This study evaluates different approaches used nowadays to teach with robots. Problem-based, constructionist, and competition-based learning are identified as the most common uses of robots under observation. Each approach is analysed qualitatively based on the published literature. Each has positive and negative properties; though none have been studied thoroughly using quantitative methods. Results indicate that all these approaches are used in schools with robots interdisciplinary. The current reasons for using robots are based mostly on teachers’ and students’ impressions. However, robotics can be seen as a “tool” to create many approaches to science education, such as inquiry learning and problem solving.
Key words: constructionism, constructivism, educational robotics, inquiry learning, LEGO Mindstorms, problem solving.
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