The aim of this work is to present extended informatics paradigm (EIP). This paradigm expands concept of informatics from traditional information and communication technologies (ICT) to a wide use of informational thinking, databases and related technologies in biology and psychology. The essential difference of EIP is an especial attention to nature and purpose of information in organized biological and/or psychological systems. Information as a phenomenon appeared on the Earth 3-4 billion years ago, when the life originated. Informatics paradigm considers the physical and chemical transformations of energy and matter as flows that are controlled, or as the signals for purposive informational control programs. Brain as product of biological evolution accomplishes a quick information processing, thinking and psychical activity. The information is born in control systems of organized systems. The organized systems are represented as informational closed-loop coding-decoding structures. Therefore, the scope of bioinformatics which is generally taught as a skill to deal with biological data bases should be extended, as well as the subject of informational psychology.
It is easy to underestimate the difficulties of using floating-point numbers in programming. This is especially the case in pre-university informatics education and competitions, where one is often led to believe that floating-point arithmetic is a good approximation of the real number system. However, most of the mathematical laws valid for real numbers break down when applied to floating-point numbers. We explain this break-down and illustrate it with four simple examples.
In informatics education and competitions, the students need to be trained, programming assignments need to be formulated, submitted programs need to be evaluated, and variations among computing platforms need to be handled. We show that the use of floating-point numbers gives rise to various kinds of non-trivial difficulties in all these areas. Coping with such difficulties would require that teachers, students, and organizers gain experience in numerical mathematics.
We strongly recommend to avoid the use of floating-point numbers in pre-university education and competitions whenever possible. If you do want to use floating-point numbers, then study the literature of numerical mathematics and be prepared to do a convincing error analysis.
Most students use computers without thinking about how the software and the hardware works internally. So, their occupational outlook depends strictly on the equipment used by a potential employer. Obviously, in case of shoals of applications students which know about the handling of miscellaneous systems are preferred. The concept behind UNIX, BSD or Linux is to provide a set of small but efficient and specialised chiefly tools. More complex problems can be resolved by combining these tools. So, learning how to work with a UNIX-like operating system is learning how to break down a problem into manageable subproblems. But, schools are typically under-funded. That means, that they are unable to bye commercial UNIX-systems. A solution for this dilemma is the usage of Open Source Software like Linux. This paper presents a report of experience which is based on three lectures and practical courses on UNIX/Linux. We will show how to introduce the concepts of Linux as well as how to advance the motivation of students by facilitate individual successes.
This paper presents model-based assessment and forecasting of the Lithuanian education system in the period of 2001-2010. In order to obtain satisfactory forecasting results, constructing of models used for these aims should be grounded on some interactive data mining. Data mining of data stored in the system of the Lithuanian teacher's database and of data from other sources representing the state of education system and the demographic changes in Lithuania was used. The models cover the estimation of data quality in the databases, the analysis of flow of teachers and pupils, the clustering of schools, the model of dynamics of pedagogical staff and pupils, and the quality analysis of teachers. The main results of forecasting and integrated analysis of the Lithuanian teachers' database with other data reflecting the state of the education system and demographic changes in Lithuania are presented.