Generolo Jono Žemaičio Lietuvos karo akademija

This article examines the assessment of teaching of selected science and humanities undergraduate courses, some of which were taught remotely and others in person. In a questionnaire survey students compared face-to-face and distance learning of the subjects. The data were statistically processed using descriptive statistics, Mantel-Haenszel test of linear association, Pearson chi-square goodness-of-fit test, and finally cluster analysis. According to the opinion of most students, distance learning was comparable to face-to-face learning. When the respondents were divided into clusters, two comparable groups emerged—one preferring face-to-face learning, the other preferring distance learning. Humanities subjects showed to be less time-consuming and yielding better final grades for the students.

This article is devoted to development, adaptation and approbation of the methodology for analysis and assessment of an inclusive educational space in a higher education institution which implements education for students with limited health abilities. Relevance of the topic is determined by the importance of implementation of effective inclusive education to ensure sustainable development of society. The validity of data presented in the research is provided by the representativeness of sample and the use of such methods of data processing and analysis as factor analysis, cluster analysis, and classification tree analysis. The five factor structure of the researched phenomenon presented in the research allows analysing the inclusive educational space at a higher education institution from different points of view. The formation of homogeneous clusters in the space of identified clusters will make it possible developing targeted programs for working with teachers and other participants of the educational process in the higher education institution, which will help to create a high-quality inclusive educational environment in the higher education institution and increase the effectiveness of inclusive education.

The relevance of this article is based on the aim to fulfil the lack of understanding of public perception on nuclear energy in Lithuania. The results of the empirical survey (public poll carried out in 2013) are used to explain the public perception of nuclear energy and its contextual aspects (safety, economic benefit, possible new challenges, personal knowledge). To show the distribution of the attitude among the public cluster analysis was performed through which respondents were divided into two groups. The 1st cluster represents that part of the public which is well educated, actively working and actively contributing to the state economy. Meanwhile the 2nd is less educated, less active economically and more dependent on social security programs part of the public. The cluster analysis reveals small, but statistically significant differences in attitude between the clusters.