LTReikšminiai žodžiai: "know-how" perdavimas; Bendravimas; Komunikacija; Socialinės transformacijos; Studijų modeliai; Švietimas; Žinojimo perdavimas; Communication; Education; Know-how transferring; Social transformations; Study patterns.
ENThe identification of the main study patterns which can be used as the tools for improving effectiveness of know-how transfer between lecturers and students from the viewpoint of social transformations influenced by the changes in computer based media and internet technologies. Design/methodology/approach. Participants of this study are represented by students of Lithuanian Maritime Academy which were studied in the studies programmes of port and shipping management, port and shipping finances, maritime transport logistics technologies. The main method used is the combined research method consisted of quantitative and qualitative research methods. Participants wrote a review about their expectations during studies from the viewpoint of know- how transfer possibilities in the context of communication based on e-learning environment usage and content analysis was applied for identification main criteria and sub criteria, later qualitative mathematic methods was applied for comparison of different students groups by significance of each of criteria which can be used for constructing of learning patterns. Integrated and specialized continuous tasks were applied to study of such modules as information technologies and systems, economic statistics, mathematic modelling by using of virtual learning environment. The problem-solving methods were applied for the implementation of interdisciplinary relations with the requirements to publish tasks’ outcomes in the journal and/or to prepare oral presentation for the conference. The content analysis were applied for the aim to assess the applied methods and technologies in study process from the viewpoint of know-how transfer between lecturers and students. The participant’s samples are oriented to the maritime sector, but the adopted study patterns can be assessed by extending of research samples by territorial and sectorial criteria in the future researches. [From the publication]