| Abstract [eng] |
Modern education requires innovative approaches that need to be implemented both at the highest levels of the educational environment, such as educational policy or curriculum requirements, and at practical levels such as instructional design and didactic aspects of particular subjects of university education. The reasons for this are: (1) obvious technological changes, including the progress of the world digital economy as a whole; (2) sufficient improvement of innovative digital technologies in the services and industry in particular. This progress requires that more and more knowledge and practical skills of students be taught and trained in university curricula. One of the most important and at the same time difficult areas is computational science. Modern computational science has been transformed from emphasis in the early days to pure computing aspects, to the present-day focus on applications, scientific research, scientific inquiry and the digital design process, and this is of paramount importance for every area of modern science and technology. Another important aspect is innovation. Modern innovations are primarily interdisciplinary and require an interdisciplinary approach to the research process, which should be developed, implemented and taught in the framework of a very diverse curriculum of the university. The aims of the research are: (1) to provide an integral view on various earlier described aspects of educational technology in general; (2) to provide a methodological constructionist framework for scientific inquiry based scientific computing education; (3) to develop design principles and the supportive application and integration methodology for the development of learning resources for scientific computer education; (4) to practically implement a set of sample learning resources including implementations for instructional design and didactics. The set of sample learning resources in the form of programming models and software learning objects is aimed at such topics within the scope of scientific computing education as stochastics, including limit theorems, Monte Carlo methods, queueing theory, and big-data computation and visualization techniques. To implement the research task: (1) a comprehensive meta analysis of domain features study, based on the well known Technological Pedagogical and Content Knowledge model is provided; (2) a comprehensive study of a model of a general form of stochastic recurrence is done and the relevant computational model is provided; (3) a comprehensive study of a model of the system of queues in series, which is based on a general model of stochastic recurrence is done, the relevant computational model is provided; (4) a set of learning resources in the form of software learning objects is developed and provided; (5) a constructionist framework for scientific computing education is provided; (6) a set of didactic tools and instructional design methods is implemented. |
