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EN
The article presents attempts to identify the needs and problems of modern e-learning and designed a solution that meets the needs of the recipients of e-learning and e-learning content providers. On the basis of this analysis, it was found that the market lacks the e-learning platform that meets all the needs and requirements in remote education. E-learning systems are very poor functionally, and tools for achieving the objectives, such as content creation, content distribution, management learning, and synchronous online meetings appear as separate applications that do not necessarily work well together. Most often each of them must be used separately that extends the preparation of training materials, and is a burden in the administration and supervision of the training course. On the basis of the analysis of remote training needs of recipients and creators of content proposed solution supporting distance learning. On the basis of the analysis of literature and research of user behavior designed and developed an integrated e-learning platform that meets the expectations of the users. The system has successfully motivating tool to complete training and does not require expensive implementation. The main objective of the proposed system was to eliminate the disadvantages observed in other systems. It was found that the human factor impeding the effective acquisition of knowledge as lack of motivation for self-study and the lack of contact with the teacher. In order to minimize the impact of these factors on the educational goals proposed solutions such as elements of competition and extensive virtual classrooms.
EN
New technologies and informatics solutions are something natural for „digital natives” - as M. Prensky has described students. Students learn visually, not focusing attention too long on one thing. They know how to find quickly interesting information, convert it and, what is most important, they feel comfortable in the world of modern technology. Meanwhile, education entities and teachers who work in them often use analog solutions (books, chalk and blackboard), what not always matches the requirements and needs of students. Despite all, Polish education is changing, as exemplified by the perception of e-learning by the Ministry of Education, which currently works on alternation of the Act of the education system, to regulate the legal status of online education as a full-fledged form of teaching. The law will not change anything, just catch up with reality, because universities and higher education (and in some cases, secondary and primary schools as well) effectively use the Internet as a tool for learning and transmitting knowledge and teachers teach themselves online, trying to use Internet tools and e-learning in education. The article presents the results of analysis of the use of systems and e-learning tools in the educational entities in the Świętokrzyskie region. It presents utilization of ICT tools in teaching and presenting a knowledge and ways to communicate on the teacher-student level in educational entities of the considered geographical area.
EN
The evaluation with the use of neuroscience methods and tools of a student’s satisfaction – happiness from using the e-learning system (e-learning platforms, e-games, simulators) poses an important re-search subject matter. In the present project it is presented a research on course conducted in the Faculty of Merchants Officers, Marine Academy of Aspropyrgos. In particular, this research with the use of a neurosci-ence tool-gaze trucker, investigates the amount of satisfaction of the students using a simulator by monitoring the users’ eye movement in combination with the use of qualitative and quantitative methods.
EN
Computers have been employed in education for years. They help to provide educational aids using multimedia forms such as films, pictures, interactive tasks in the learning process, automated testing, etc. In this paper, a concept of an intelligent e-learning system will be proposed. The main purpose of this system is to teach effectively by providing an optimal learning path in each step of the educational process. The determination of a suitable learning path depends on the student's preferences, learning styles, personal features, interests and knowledge state. Therefore, the system has to collect information about the student, which is done during the registration process. A user is classified into a group of students who are similar to him/her. Using information about final successful scenarios of students who belong to the same class as the new student, the system determines an opening learning scenario. The opening learning scenario is the first learning scenario proposed to a student after registering in an intelligent e-learning system. After each lesson, the system tries to evaluate the student's knowledge. If the student has a problem with achieving an assumed score in a test, this means that the opening learning scenario is not adequate for this user. In our concept, for this case an intelligent e-learning system offers a modification of the opening learning scenario using data gathered during the functioning of the system and based on a Bayesian network. In this paper, an algorithm of scenario determination (named ADOLS) and a procedure for modifying the learning scenario AMLS with auxiliary definitions are presented. Preliminary results of an experiment conducted in a prototype of the described system are also described.
EN
The aim of this paper is to introduce a method of estimating requirements for resources of an e-learning platform which are important from the point of view of a reception quality (perceived quality) evaluation of educational services provided by the platform. It is assumed that the modeling process is based on real Web navigation scenarios the results of which have been stored as the logs produced by different parts of the software involved in putting the e-learning functions into effect. Moreover, some additional data could be obtained by slight modifications of a system software. In the paper, two educational portals are used as sources of example data describing the behaviour of corresponding e-learning systems due to service requests. It is shown how to effectively determine empirical probability distributions and corresponding statistics for the size and rate of files delivered by the Web server in response to requests, and the amount of RAM and CPU time consumed for the interpretation of scripts. That knowledge allows better estimation of the required capacity and performance of the platform.
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