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Despite much public discussion about the importance of creativity and innovation-friendly teaching in Finnish higher education, the impact of the general opinion on actual teaching practices has been limited. In the Finnish computer science education the teaching mostly follows a pattern of lectures, fixed exercise sets, and exams. With this article we want to open a discussion about possibilities of enhancing the learning environment by focusing on creative problem solving. We will present results from two research experiments in which we aimed to provide computer science students with a practically oriented learning environment with an explicit intention of supporting the creative work of students. There exists a vast amount of scientific theory about creativity, yet it is unclear on how to turn that theory into practice. Thus, our main interest was to find ways of applying creativity theory in practice in the context of computer science education. Our research experiments consist of a practically oriented computer science course, where LEGO®Mindstorms robots were used as the platform for the student work. Methodological tools used in this study included content analysis of student products, observations from our learning sessions and semi-structured interviews with the students. The course was organised two times: the first time was in spring 2009 and the second in spring 2010. The total number of attending students was 72. In this article we argue that our approach of providing a creativity-supporting practical computer science course was a success. We gained a lot of ideas on how to support creativity, the students were clearly motivated, and they began to learn a new kind of experimental working style. The robotics kit seemed to work well both as a trigger for motivation and as a platform to support experimental learning, enhancing students’ creativity and working style. In our opinion these findings are of great importance, and give promising practical ideas for the support of creativity in higher computer science education.

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a b s t r a c tAccessibility and transportation possibilities are key factors influencing societal conditions and land use patterns in rural areas. Thus, information on the spatial patterns of accessibility and transportation can be of paramount importance in understanding regional differences in development, human livelihood and land use patterns. Analysing spatio-temporal transportation patterns is particularly challenging in areas where everyday transportation is based on unscheduled public transportation and a naturally controlled seasonal transportation network, such as rivers. Here, our aim is to provide information on the seasonal dynamics of riverine transportation and its effects on accessibility patterns in Peruvian Amazonia. We analysed riverine transportation speeds using a low-cost GPS-based riverboat observation system. Spatio-temporal accessibility patterns were generalised from the GPS-observations that were classified according to seasons into the high water season, intermediate season and low water season. We show that navigation along the rivers has a clear seasonal and directional (upstream/downstream) variation, which varies with different types of rivers based on channel morphology. In addition, we conducted interviews with local people to study their perceptions of the seasonal changes in navigation and the accuracy of transportation schedules. As the travel distances in Peruvian Amazonia are generally long, seasonal and directional differences have clear impacts on the overall accessibility patterns in the area and on the livelihoods of riverine inhabitants. Furthermore, the lack of clearly scheduled transportation causes considerable uncertainty about transportation options for local communities. The baseline information of the seasonal and directional variation of riverine transportation and travel speeds provided by our work is usable in further accessibility and livelihood analyses for Peruvian Amazonia, but it may also be useful in other areas relying on riverine transportation.