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The article deals with distance education, which as a teaching method had to be suddenly introduced in schools and higher education institutions as a result of the global pandemic situation. The paper captures the second wave of Poland’s pandemic situation in relation to global circumstances and the methods of conducting distance learning used across the globe. The purpose of this study was to investigate first-year students’ expectations about the education shift to distance learning. GETAMEL, which is the adapted General Extended Technology Acceptance Model for E-Learning, was used in the study. The study analyzed the influence of Experience, Subjective Norms, Enjoyment, Computer Anxiety, and Self-Efficacy on students’ expectations in the context of distance learning during the COVID-19 pandemic. To test the research model presented during the research, The Partial Least Squares method of Structural Equation Modeling was used. An online survey was created to conduct the research, which collected data from 670 Polish first-year undergraduate students. The acquired data were analyzed using the SmartPLS 3 software. The results of the research indicated that the most important factors that influence the feelings of students and can convince them to change from teaching in the classroom to teaching in the distance learning model are the feeling of pleasure in this form of education and a sense of self-efficacy. The results of this study may be of particular interest to education practitioners, including teachers, and a starting point for further research on e-learning models, including, in particular, the understanding of students’ expectations regarding distance learning.
Karina Cicha; Mariia Rizun; Paulina Rutecka; Artur Strzelecki. COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning. Sustainability 2021, 13, 1889 .
AMA StyleKarina Cicha, Mariia Rizun, Paulina Rutecka, Artur Strzelecki. COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning. Sustainability. 2021; 13 (4):1889.
Chicago/Turabian StyleKarina Cicha; Mariia Rizun; Paulina Rutecka; Artur Strzelecki. 2021. "COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning." Sustainability 13, no. 4: 1889.
Purpose This paper aims to consider the question of changes brought to consumers’ trust and security issues by the implementation of the General Data Protection Regulation (GDPR) in electronic commerce. Design/methodology/approach Online shopping policies in Poland and Ukraine are compared from the perspective of four factors as follows: application of terms of service and privacy policy, usage of online payment systems, presence in price comparison engines and grade of secure sockets layer security certificates. Comparison is conducted within the framework of three research questions (complemented by eight hypotheses) set to reveal whether: policies of personal data protection and server security for online stores in both countries are the same; all online stores in both countries obey the existing e-commerce rules; e-commerce policies in the two countries differ significantly. The sample for analysis contains 40 Polish and 40 Ukrainian online stores, representing four industries, namely, electronics, entertainment, fashion and goods for children. Findings The research allowed to reveal major differences in the privacy policy of the two countries, caused, mainly, by the absence of GDPR in Ukraine. It also disclosed much stronger cooperation of online stores and price comparison engines in Poland compared to Ukraine. At the same time, research results allow to state that server security in both countries is on the same rather high level and that online stores use transparent and safe methods of online payment. Research limitations/implications This research opens a way to other, expanded observations which will include more countries and larger scopes of data. Its main limitation is that GDPR influence is only studied in two countries, not in all countries where it is implemented. Originality/value This research contributes from security and trust perspectives by analyzing the situation in two countries as follows: the EU member (Poland) and a non-EU country (Ukraine). The value of exploring the situation of Ukrainian e-commerce consists of understanding how online stores function without implementing the GDPR. Observation of shopbots application allows drawing an important conclusion of the necessity for online stores to cooperate with such services. It was also revealed that consumers’ trust in both countries depends a lot on the payment methods applied by an online store and on the ease of use of these methods.
Artur Strzelecki; Mariia Rizun. Consumers’ security and trust for online shopping after GDPR: examples from Poland and Ukraine. Digital Policy, Regulation and Governance 2020, 22, 289 -305.
AMA StyleArtur Strzelecki, Mariia Rizun. Consumers’ security and trust for online shopping after GDPR: examples from Poland and Ukraine. Digital Policy, Regulation and Governance. 2020; 22 (4):289-305.
Chicago/Turabian StyleArtur Strzelecki; Mariia Rizun. 2020. "Consumers’ security and trust for online shopping after GDPR: examples from Poland and Ukraine." Digital Policy, Regulation and Governance 22, no. 4: 289-305.
This paper is dedicated to the higher education institutions shifting towards distance learning processes due to the global pandemic situation caused by COVID-19 in 2020. The paper covers the pandemic situation in Poland generally, analyzing governmental ordinances and tracking the gradual extension of restrictions for educational institutions. The purpose of this study is to investigate the influence of Experience, Enjoyment, Computer Anxiety, and Self-Efficacy on students’ acceptance of shifting education to distance learning. The study tested and used the adapted General Extended Technology Acceptance Model for E-Learning (GETAMEL) in the context of coronavirus pandemic. The partial least squares method of structural equation modeling was employed to test the proposed research model. The study utilizes an online survey to obtain data from 1692 Polish undergraduate and graduate students in both full- and part-time study. The dataset was analyzed using SmartPLS 3 software. Results showed that the best predictor of student’s acceptance of shifting education to distance learning is Enjoyment, followed by Self-Efficacy. Both Perceived Ease of Use and Perceived Usefulness predict student’s Attitude Towards Using and Intention to Use the distance learning. The findings improve understanding regarding the acceptance of distance learning and this work is therefore of particular interest to teachers and practitioners of education.
Mariia Rizun; Artur Strzelecki. Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland. International Journal of Environmental Research and Public Health 2020, 17, 6468 .
AMA StyleMariia Rizun, Artur Strzelecki. Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland. International Journal of Environmental Research and Public Health. 2020; 17 (18):6468.
Chicago/Turabian StyleMariia Rizun; Artur Strzelecki. 2020. "Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland." International Journal of Environmental Research and Public Health 17, no. 18: 6468.
The recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on this new epidemic is reported through Google Trends. The reported period is 31 December 2020 to 20 March 2020. The authors draw conclusions on current infodemiological data on COVID-19 using three main search keywords: coronavirus, SARS and MERS. Two approaches are set. First is the worldwide perspective, second – the Chinese one, which reveals that in China this disease in the first days was more often referred to SARS then to general coronaviruses, whereas worldwide, since the beginning, it is more often referred to coronaviruses.
Artur Strzelecki; Mariia Rizun. Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China. International Journal of Online and Biomedical Engineering (iJOE) 2020, 16, 139 -146.
AMA StyleArtur Strzelecki, Mariia Rizun. Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China. International Journal of Online and Biomedical Engineering (iJOE). 2020; 16 (4):139-146.
Chicago/Turabian StyleArtur Strzelecki; Mariia Rizun. 2020. "Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 4: 139-146.
In modern and developing economic systems, Knowledge Management (KM) is considered to be one of the most important activities of almost any organization. KM process at universities includes didactic processes, among which we distinguish the process of individualization of education. Such process requires a large amount of information to be processed both by university workers and students. This paper suggests that Knowledge Graphs are a technology that facilitates and enhances KM processes at universities and gives an extended review of a Knowledge Graph phenomenon.
Mariia Rizun. Knowledge Graph Application in Education: a Literature Review. Acta Universitatis Lodziensis. Folia Oeconomica 2019, 3, 7 -19.
AMA StyleMariia Rizun. Knowledge Graph Application in Education: a Literature Review. Acta Universitatis Lodziensis. Folia Oeconomica. 2019; 3 (342):7-19.
Chicago/Turabian StyleMariia Rizun. 2019. "Knowledge Graph Application in Education: a Literature Review." Acta Universitatis Lodziensis. Folia Oeconomica 3, no. 342: 7-19.
The paper raises the issues of Knowledge Workers job and the Knowledge Management Information Systems (KMIS) that support it. The first objective of the paper is to define the notions Knowledge Worker and KMIS - in the form of concept maps. In the paper, the knowledge actions conducted by the Knowledge Workers are also analyzed and the most frequently performed actions are distinguished. The two actions - analysis and information organization, are used as the basis for examination of KMIS quality in terms of Knowledge Workers support. A case study of Moodle platform as a KMIS supporting actions of Knowledge Workers in higher education justifies the conclusions of the support quality of traditional KMIS. With the objective to suggest improvement of the KMIS the authors introduce a design approach for Knowledge-Graph-based Information Systems (KGIS) and describe the general benefits of them, again referring to such knowledge actions as analysis and information organization. The paper also covers the limitations that might relate to a broad implementation of KGIS, connected with infrastructure, technology, organization, and media effects. At the end, the authors present another small case study dealing with the expected support quality of a semantic IT service catalog, prototypically implemented in a German higher education institution.
Mariia Rizun; Vera G. Meister. Analysis of Benefits for Knowledge Workers Expected from Knowledge-Graph-Based Information Systems. Business Information Systems 2017, 25 -39.
AMA StyleMariia Rizun, Vera G. Meister. Analysis of Benefits for Knowledge Workers Expected from Knowledge-Graph-Based Information Systems. Business Information Systems. 2017; ():25-39.
Chicago/Turabian StyleMariia Rizun; Vera G. Meister. 2017. "Analysis of Benefits for Knowledge Workers Expected from Knowledge-Graph-Based Information Systems." Business Information Systems , no. : 25-39.
Mariia Rizun. INFORMATION SYSTEMS FOR KNOWLEDGE WORKERS SUPPORT. Informatyka Ekonomiczna 2017, 121 -130.
AMA StyleMariia Rizun. INFORMATION SYSTEMS FOR KNOWLEDGE WORKERS SUPPORT. Informatyka Ekonomiczna. 2017; (46):121-130.
Chicago/Turabian StyleMariia Rizun. 2017. "INFORMATION SYSTEMS FOR KNOWLEDGE WORKERS SUPPORT." Informatyka Ekonomiczna , no. 46: 121-130.