Abstract
E-learning students are generally heterogeneous and have different capabilities knowl- edge base and needs. The aim of the Sumy State University (SSU) e-learning system project is to cater to these individual needs by assembling individual learning path. This paper shows current situation with e-learning in Ukraine, state-of-art of development of the adaptive e-learning systems and shows results of SSU research in this area. Nowadays the received solutions are different from the known analogues considering an expanded set of information about the features of a particular student's learning activities (19 indicators are analysed, including indicators of progress such as the level of knowledge and student individual features). The corresponding software solutions are being tested in the SSU e-learning environment.
Highlights
Modern higher education is designed to prepare specialists to solve problems in continuously changing environment
The first one – the volume of metadata utilization is increasing: search engines look at simple metadata, Custom Course looks into metadata of connected nodes, FreshKnowledge uses the links between nodes, the user model, the professional competence model (PCM)
Without special tools for building and management of individual learning paths there is a problem of distracting the students to off-site materials, the loss of focus in the educational activity
Summary
Modern higher education is designed to prepare specialists to solve problems in continuously changing environment. Development of tools for choosing of an optimal set of learning materials for a particular student and for the construction of individual learning path, with the condition of guaranteed basic knowledge acquirement; It should be mentioned that regardless of the source of learning objects special tools of building and managing of the learning path for each student are required. Development of such tools requires special pedagogical approaches and software solutions.
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