9 research outputs found

    Determinants Affecting the Use of the Internet by Older People

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    Objectives: The purpose of this study is to detect and analyze some factors which hinder or contribute to the positive use of the Internet by older people living in Central Europe, specifically in one region of the Czech Republic. Methods: The key method is a questionnaire whose results were processed by using a model of logistic regression. The research sample includes 432 seniors from senior houses, municipal ICT courses and the University of the Third Age, all coming from the region of Hradec Kralove in the Czech Republic. Findings: The findings of the proposed model confirmed that the key determinants in the Internet use by older people were age, previous experience with IT in their past occupation and active use of IT enhanced by some kind of training, in this case attending IT courses of the University of the Third Age. Education and gender have not proved to be significant determinants in this study. Novelty/ improvement: The introduced model of logistic regression enriches current literature on the subject by emphasizing the possible factors that influence the use of the Internet by seniors in the region. The survey also investigates which factors in comparison with each other act more and which less, and which factors are significant within the model and which are not. Doi: 10.28991/esj-2021-01317 Full Text: PD

    Digital Storytelling in Economics Subjects and its Effectiveness on Student Learning Outcomes by Gender and Different Economic Knowledge

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    Digital storytelling (DST) is one of the alternative teaching methods and previous research shows its positive impact on students’ motivation and learning outcomes, especially in humanities subjects. In vocational subjects such as economics, the effectiveness of this method is questionable. 856 respondents aged 15 to 19 from six business academies in the Czech Republic took part in the testing, which focused on the effectiveness of digital storytelling in economics. This paper presents other possible factors that may have influenced students' performance in the post-test. A comparison of the results from the pre-tests and post-tests of the experimental and control groups showed that the students from the experimental group reached higher mean values in the post-test than the students from the control group. It was also found that in the group that used digital storytelling, the year of study and the initial knowledge of the students assessed in the pre-test influenced the mean post-test scores. On the other hand, the factor of students' gender was not demonstrated. At the end of the testing, a questionnaire survey was conducted to investigate students' views on digital storytelling and their preferences for teaching methods

    Possibilities of Using Kalman Filters in Indoor Localization

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    Kalman filters are a set of algorithms based on the idea of a filter described by Rudolf Emil Kalman in 1960. Kalman filters are used in various application domains, including localization, object tracking, and navigation. The text provides an overview and discussion of the possibilities of using Kalman filters in indoor localization. The problems of static localization and localization of dynamically moving objects are investigated, and corresponding stochastic models are created. Three algorithms for static localization and one algorithm for dynamic localization are described and demonstrated. All algorithms are implemented in the MATLAB software, and then their performance is tested on Bluetooth Low Energy data from a real indoor environment. The results show that by using Kalman filters, the mean localization error of two meters can be achieved, which is one meter less than in the case of using the standard fingerprinting technique. In general, the presented principles of Kalman filters are applicable in connection with various technologies and data of various nature

    The Selected Topics for Comparison in Visegrad Four Countries

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    Visegrad Group is a group of four countries in Central Europe, namely the Czech Republic, Slovakia, Poland, and Hungary. These countries share not only a similar history, but also similar economic development (measured for example by Gross Domestic Product (GDP)) and geo-political ideas. Nowadays, the economic development of every country and its competitiveness on the world market is supported by the creation of innovation (knowledge-based economy), especially from an Industry 4.0 point of view. The aim of this article is to compare the Visegrad Four (V4) from different perspectives. Firstly, the comparison of GPD development is done, next the analysis of foreign trade. The article presents the results of a comparative analysis of changes in innovativeness and competitiveness of the V4 economies over a period of 5 years. The Global Innovation Index (GII) shows the level of innovation of most countries in the world. Reports publishing GII were established thanks to the cooperation of Cornwall University with INSEAD (fr. Institut européen d'administration des affaires) Business School and World Intellectual Property Organization. The Summary Innovation Index (SII) was used in the European Innovation Scoreboard, as well as the Global Competitiveness Report and Global Competitiveness Index (GCI). The analysis shows that all members of V4 are so called moderate innovators. The Czech Republic begins to diverge from other member states in terms of SII, GII and it has been increasing its GCI as well. Poland occupies one of the last positions in the V4 innovation ranking, where Hungary was the weakest in terms of competitiveness in 2016. However, the mutual connection between GDP and above mentioned indexes shows relatively surprising results

    Enhancing Cognitive Performance of Healthy Czech Seniors through Non-Native Language Learning—A Mixed-Methods Pilot Study

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    The aim of this article is to discuss the effect of learning a non-native language on the enhancement of cognitive performance in healthy native Czech elderly. In addition, special emphasis is put on the qualitative assessment. To do this, 42 Czech cognitively unimpaired seniors were enrolled into the study. These were then divided into an experimental group (i.e., 20 healthy elderly studied English as a non-native language for three months) and a passive control group (22 healthy elderly, who did not undergo any non-native language intervention). The main outcome measures included the Montreal Cognitive Assessment, statistical processing of the data, and a qualitative content analysis. The results indicate that the cognitive performance of the intervention group did not differ from the control group. Therefore, no cognitive enhancement through non-native language learning was achieved. However, the findings of the qualitative analysis show that such non-native language learning with the peers of the same age is especially beneficial for the overall well-being of healthy seniors, especially as far as their social networks are concerned. Furthermore, participant’s subjective feelings from their self-reports indicate that foreign language learning also contributes to acquiring new English words and phrases. However, as there are very few empirical studies on this research topic, further research is needed in order to confirm or refute the present research findings on the enhancement of cognitive performance through non-native language learning in healthy seniors
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