Development Of Online Education Research Articles

Factors Influencing the Satisfaction of Second Language Learners of Chinese in Online Courses.

The study aims to investigate the relationship among the key factors affecting second language learners' satisfaction with online Chinese courses and their willingness to continue utilizing them by constructing a Model of Chinese Learners' Satisfaction in Online Courses. Additionally, the influence of participants' individual differences was also explored. A total of 203 second language learners of Chinese participated in the questionnaire survey, with 5 learners further participating in interviews. Learner expectations, learner perceived quality, and learner perceived value were identified as important factors influencing learner satisfaction and willingness to continue using the online course. The results of the questionnaire survey showed that (1) learner individual differences, such as age, Chinese proficiency, weekly study duration, and offline Chinese course experience, significantly influence learner satisfaction. (2) Learner expectations have a significant positive impact on perceived quality, while perceived quality positively affects perceived value. (3) Learner satisfaction significantly influences the willingness to continue using online courses. (4) The results of the interview revealed that most learners still prefer traditional offline courses, indicating that online teaching has several shortcomings and deficiencies. Overall, this study provides some scientific and reasonable decision-making references for improving online teaching methods, aiming to enhance learner satisfaction and promote the development of online education.

Changing Trends in Teaching Computer Vision at Ukrainian Universities in the Age of Artificial Intelligence

In recent years, professional education in computer vision and artificial intelligence (AI) has witnessed transformative changes, a process significantly accelerated by the COVID-19 pandemic, which catalyzed the shift towards online learning formats. In Ukraine, as in many other countries, universities have rapidly adapted their curricula to align with these new realities. The onset of martial law in Ukraine further entrenched online learning as the dominant mode of education. Additionally, there has been a noticeable shift in research activities towards projects tailored to the defense sector, unfolding against the backdrop of significant global advancements in AI for computer vision. This article explores the impact of these shifts and the “Artificial Intelligence Development Concept” introduced by the Ministry of Digital Transformation of Ukraine on the quality and methodologies of computer vision education. It scrutinizes specific training courses in this domain, along with the literature used in the educational process. The exploration includes how deep neural network technologies such as TensorFlow, PyTorch, OpenCV, and Python libraries are being integrated into computer vision curricula, reflecting the latest advancements in the field. It also examines the needs of Ukrainian startups and companies specializing in computer vision projects, analyzing how curricula are evolving to meet the specific requirements of modern software developers. Furthermore, the article proposes directions for the further development of online education in computer vision teaching in Ukraine.

Assessment Future Evolution of Massive Open Online Courses (MOOCs): SWOT Analysis (Global and Regional Measuring)

Introduction. Digital technologies contribute to the rapid development of communications in various spheres of society. However, MOOCs, despite being a young and exciting phenomenon, have both positive and negative aspects. The purpose of the article is to study and analyze the phenomenon of MOOCs in its global and regional dimensions, and assessment their future evolution, identifying the strengths and weaknesses in their development, especially for the development of regional education systems. Materials and Methods. Theoretical research is carried out in the context of a systematic approach to maximize the study of all the features and patterns of the phenomenon under study, which is a system. The research methodology used is SWOT analysis, which helps to identify the advantages, disadvantages, opportunities, and threats for the future of higher education. The method helped to identify, on the one hand, the positive and negative aspects of the development of massive open online courses of the MOOC, on the other, to identify the opportunities and threats of online learning systems for the future development of higher education (global and regional levels). Results. The authors show that open online courses are an important addition to traditional university education, built on the basis of common forms, but working within the framework of a regional dimension. They allow you to increase the level of knowledge and competencies in various industries and beyond territorial borders by building specific online communities). However, the authors also show that this open communication system is considered by many of its participants not as a specific addition to the traditional one, but as its real alternative. The main results of the study is the identification of hidden and unexpressed weaknesses in the MOOC system. Instead of the expected democratization of education and enlightenment, if the existing threats are underestimated, it may lead to degradation and a new phase of the global educational crisis. The scientific novelty of this research lies in the fact that the phenomenon of MOOCs is still young and has been poorly studied in scientific literature. Discussion and Conclusion. In conclusion, the authors summarize the specifics of the manifestations of an open system of knowledge communication (its global and regional dimensions). The practical significance of this study of the authors lies in the analysis and generalization of the problems of the development of online education. This article will be useful for anyone interested in research issues of theoretical and practical aspects of the modern education system development (both regional and global levels of its formation).

Automatic question-answering modeling in English by integrating TF-IDF and segmentation algorithms

Online network education offers convenience, however, the inefficiency and time-consuming nature of question-answering models negatively impact the demand for online learning. To address this issue, the study puts forward the development of an automatic English question-answering model. The improved model leverages a term frequence-inverse document frequency approach and an unsupervised participle algorithm based on deep learning. The precision and promptness of the question-answering model were enhanced by refining the weighted allocation of the term frequence-inverse document frequency algorithm and the unsupervised word-splitting algorithm. The validation shows that the improved precision rate is 68.14%, which is 34.37% and 50.45% more than the other two methods, respectively. The precision rate, recall rate, and F1 value for semantic similarity calculation improved by 9.23%, 9.22%, and 9.71%, respectively, compared to the traditional method. The validation experiments of the automatic English question-answering model indicate that its average accuracy was 94.68%, surpassing other models by 4.77%. The average answer time for the four types of questions was 30.52 ms, and the average answer time for the cause questions was 11.45 ms. The results show that the proposed English automatic question-answering model has better accuracy and timeliness of answering questions, and the improved accuracy for weight calculation is better. The English automatic question-answering model integrating word frequency-inverse document frequency and participle algorithm can satisfy the basic needs of teachers and students in online teaching, course question-answering, etc., which is of positive significance for the development of online education in the context of the Internet.

Online Learning Attitude, Engagement, and Academic Achievement of College Students in China

With the rapid development of online education, understanding the performance and experiences of college students in this emerging learning mode is of paramount importance for improving educational quality. This study aims to delve into the close relationship between Chinese university students’ learning attitudes, engagement, and academic performance in the context of online learning environments. Employing a questionnaire survey and quantitative analysis, this study explores the intricate relationships between learning attitudes, engagement, and academic performance among Chinese university students engaged in online learning.

Challenges and prospects of online education in the context of barrier-free access

Given the trends of barrier-free education, it is relevant to study the peculiarities of online education through the prism of characterising its prospects and challenges. The aim of the study is to provide a thorough analysis of the challenges and prospects of online education in the context of educational accessibility. Methods: the study uses a mixed methodological framework that combines both quantitative and qualitative research methods. Research design: quantitative data were collected directly through online surveys, and qualitative data were collected through in-depth interviews. The study used questions based on the Likert scale. A total of 250 people took part in the study: 150 teachers and 100 students. All of them had different experience of using digital technologies in online education. Results: online education is a promising area, as it is based on the elements of barrier-free access, but there are a number of problems on the way to further development that determine promising areas for its improvement. The main challenges include technological problems, low material, and technical base, unequal access to technology, lack of direct contact between students and teachers, low level of adaptation to digital technologies. Limitations: Due to the chosen sampling method, the results may not be fully generalisable to different population groups, including those in other countries. Conclusions: promising areas for further development of online education include improving the material and technical base, developing adaptive platforms, creating content with an emphasis on accessibility, developing digital skills and information competence of both students and teachers.

Traditional Cultural Network Online Education Integrating Deep Learning and Knowledge Tracking

With the popularization of the computer network and the development of artificial intelligence technology, the traditional education industry has been reformed. In the past two years, online education has developed rapidly. The combination of the Internet and education enables students to study online at any time, no longer relying on the time and place requirements in traditional education. However, with the rapid development of online education, many problems have gradually emerged. In online education, with a large amount of knowledge and question banks, students are faced with a large number of choices. Therefore, positioning and tracking the knowledge level of students and realizing personalized online education have become the main problems facing the moment. Based on this, this study integrates deep learning and knowledge tracking technology to build a traditional cultural network online education model, aiming at accurately positioning students’ knowledge levels and recommending personalized question banks. The experimental results show that the average AUC of the model proposed in this study is 0.781, and the average accuracy rate is 0.886, which is significantly better than other online education models. Through the combination of deep learning and knowledge tracking technology, the research successfully provides a new and efficient model for personalized learning in the field of online education, which is of great guiding value for promoting further innovation and development of online education. In addition, the research also provides practical solution strategies for related fields, which have obvious practical significance and popularization value.

An Evaluation of the Use of Artificial Intelligence Applications in Online Education

Achieving targeted learning outcomes in online education and creating an effective learning environment require an interactive learning environment with a sense of learning community, personalized learning opportunities, a well-designed instructional content with effective use of visuals, sounds and teaching assistants, and instructors who can create and present them all effectively. AI applications can be utilized for a wide range of purposes in addressing the indicators of effective online education and developing strategies to achieve them. This research aims to explore various applications of AI in online education and its impact on teaching and learning processes. In line with this purpose, the study used qualitative case study method to explore the potential of AI applications in improving the quality of online education and the extent to which such applications can be utilized in online education. Following the research, examples of artificial intelligence (AI) applications that can be used in online education for the purposes of providing personalized learning experiences, creating learning content, emphasizing the use of visual and audio content in teaching, providing learning assistance, improving student engagement through the use of teaching assistants and chatbots, strengthening the interaction between the instructor and students, and evaluation were presented and suggestions were made for the contexts in which these applications can be used. The potential and limitations of AI applications in the development of online education were emphasized. On the other hand, it was recommended that the ethical implications of using AI applications in online education should be considered through further research and critical evaluation.

Modern challenges and prospects for the development of remote education: A systematic review of the literature

The events of recent years in the world and Ukraine (quarantine restrictions due to the pandemic and Russian military aggression) directly affect the format of educational services and create the need to introduce online education, which will guarantee all subjects of the educational process the acquisition of knowledge, preservation of life, as well as psychological and physical health. The research aims to conduct a literature review of the peculiarities of online education at the present stage in Ukraine and analyse its main advantages and disadvantages. As a result of a systematic analysis of the literature, the interpretation of the “online education” concept by various Ukrainian researchers and the peculiarities of online learning under martial law were analysed, and a detailed analysis of the main pros and cons of online education in Ukraine was carried out. The context of the new challenges (the coronavirus pandemic and Russia’s full-scale invasion of Ukraine) makes distance learning strategically important for ensuring the provision of educational services and preserving the physical and psychological health of all participants in the educational process. The study confirms the active development of online education in Ukraine, with important improvements in infrastructure, teaching materials and teacher training. The importance of online education in both normal and crises is substantiated, and its advantages and disadvantages are identified. The need to learn how to use these technologies while preserving the value of personal communication in education is emphasised. The studies of foreign scholars are analysed and a comparative analysis of education in crises abroad and Ukraine is carried out. It has been found that online education is a promising and necessary form of education, it is developing very actively and can respond quickly and successfully to the needs of society. The practical significance of the study lies in its contribution to the further development of the field of educational technologies and education reform in Ukraine

Current Situation and Development Trend of Online Education During the Epidemic

At the end of 2019, the COVID-19 emerged. Shortly thereafter, the epidemic spread rapidly in China, threatening the lives and health of Chinese residents and causing a great impact on production, living and social order in China. Students could not return to school on time. The Ministry of Education scientifically and accurately analyzed the situation at that time and issued the Guiding Opinions on the Organization and Management of Online Teaching in Colleges and Universities during the Epidemic Prevention and Control Period, which issued a call to the society to keep teaching while attending classes. In response to the call, educational institutions across the country have gradually started online classes based on the local epidemic prevention and control situation. The COVID-19 has brought opportunities for education. Peoples awareness and recognition of online learning have been increasing, which to some extent promotes the development of online education and increases the proportion of online education in the whole education industry. After the epidemic, people have more deeply realized the importance of social information. In this information age, education should also keep up with the pace of the Times. On the premise of meeting people's needs for education, the people should actively reform the educational mode, combine the traditional educational mode with the new educational mode influenced by information, and promote the construction of educational information. According to this paper, it can arouse peoples thinking and inquiry to a certain extent.

Trouble felt in Education and Sustainability during the Time of Covid-19 in Nepal: Responses of Teachers, Parents and Students

Examined in this study are crisis-related educational initiatives. Its goal is to analyse the educational approaches employed in Nepal's community schools during the COVID-19 pandemic-caused catastrophe. This study is qualitative, hence the methodology employed is deemed appropriate. In this study, the data are collected through purposeful sampling. The participants are dedicated teachers from particular schools, as well as kids and parents. The study was conducted in the Kageshwori Manohara Municipality in the Kathmandu district. The study's primary sources are the participants, hence primary sources were used to collect the data. Using narrative enquiry and qualitative approaches, the data are analysed. Interviews were used to collect the data because it was a qualitative study. Narrative enquiry is used in the study, which follows the interpretative paradigm. Inductive and qualitative research approaches are thus both used in this study. The difficulties and crises that teachers, students, and parents experienced in Nepal during COVID-19 are examined in this paper. According to reports, COVID-19 has caused unforeseen changes in people's lifestyles. It prompted the development of online education, which promoted the use of modern technology although financial crisis disturbed sustainability of people. The results of this study demonstrate the technical and economical difficulties of adopting online classes in COVID-19. It is expected that this study will have an impact on society and academia. This study has preserved the value of originality because it is based on primary sources.

Research on the development and innovation of online education based on digital knowledge sharing community

BackgroundDigital knowledge sharing (DKS) communities have emerged as a promising approach to support learning and innovation in online higher education. These communities facilitate the exchange of knowledge, resources, and ideas among educators, students, and experts, creating opportunities for collaboration, innovation, and lifelong learning. However, the impact and role of DKS communities in online education are not well understood, and further research is needed to explore their potential benefits and challenges.PurposeThis multi-objective qualitative study aims to investigate the impact and role of DKS communities in online higher education, identifying the factors that promote student success and the implications for the development of online education. The study collected data from 20 informants who have experienced teaching online during and after the pandemic. Data were collected through in-depth interviews and analyzed using thematic analysis. The informants were selected through theoretical sampling.MethodologyTo explore the impact and role of DKS communities in online higher education, this study employed a multi-objective qualitative research method. Data were collected through in-depth interviews conducted with 20 informants who possessed experience in teaching online during and after the pandemic. The informants were selected through theoretical sampling to ensure diverse perspectives and insights. The collected data were subsequently analyzed using thematic analysis, allowing for the identification of key themes and patterns.FindingsThe findings of this study provide valuable insights into the impact and role of DKS communities in online higher education. These insights encompass various aspects, including the benefits and challenges of DKS in online education, the factors that contribute to student success, and the implications for the ongoing development and innovation of online education.ConclusionsIn conclusion, this multi-objective qualitative study sheds light on the significance of DKS communities in online higher education. It underscores their potential to enhance collaboration, innovation, and lifelong learning. The findings also emphasize the importance of addressing challenges and fostering an inclusive and supportive online learning environment. These insights inform best practices and contribute to the continuous development and innovation of online education, particularly in the post-pandemic educational landscape.

DEVELOPMENT OF ONLINE EDUCATION TO ENSURE THE FUNCTIONING OF THE UNIVERSITY

The relevance of online education in universities has been proven. The purpose of the study is to determine the areas of online education to ensure the functioning of the University. To achieve the goal, the following tasks are solved: – substantiation of theoretical provisions regarding the formation of online education; – highlighting the features of online education at the University. The relevance of online education in universities has been proven. The purpose of the study is to determine the areas of online education to ensure the functioning of the University. To achieve the goal, the following tasks are solved: – substantiation of theoretical provisions regarding the formation of online education; – highlighting the features of online education at the University. It was determined that information networks and Internet coverage are not always developed in populated areas in Ukraine. The processes of forming a stable WiFi network are becoming more complicated. This affects the development of distance education. Online education is formed and implemented through a set of educational information platforms through the use of organizational structures. The identified advantages of online education: access to the programs of the best teachers in the world; innovative and modern information, possibilities of using technologies, formation of theoretical and methodological approaches used by scientists; retrospective updating of information and software; the financial aspect, which is aimed at reducing the cost of the educational process; implementation of the principle of learning anywhere and anytime; the opportunity to apply different directions and approaches to learning. As a result of the study, the theoretical aspects of the formation and use of online education in universities were determined. Moreover, special attention is focused on the advantages and disadvantages of online education, taking into account the modern conditions of the educational process. It should be noted that the features of online education include: training of teachers according to modern conditions and information support; formation of technological aspects of the functioning of online education; ensuring the functioning of the university as an administrator of distance education; creation of online education service facilities; formation of financial aspects of the development of online education at the university; ensuring the quality of online education; formation of various models of implementation of the educational process with the use of online education: implementation only with the use of Internet technologies; mixed form, where the traditional form is combined with the use of information technologies; application of Internet technologies as an internal toolkit. As a result of the study, the theoretical aspects of the formation and use of online education in universities were determined. Moreover, special attention is focused on the advantages and disadvantages of online education, taking into account the modern conditions of the educational process. It should be noted that the features of online education include: training of teachers according to modern conditions and information support; formation of technological aspects of the functioning of online education; ensuring the functioning of the university as an administrator of distance education; creation of online education service facilities; formation of financial aspects of the development of online education at the university; ensuring the quality of online education; formation of various models of implementation of the educational process with the use of online education: implementation only with the use of Internet technologies; mixed form, where the traditional form is combined with the use of information technologies; application of Internet technologies as an internal toolkit. Keywords: оnline education, information support, information platforms, Internet technologies, models of the educational process.

Evolyuciya obrazovatel'nyh tekhnologij: ot pechatnogo stanka k onlajn-obrazovaniyu

This article is devoted to the historical evolution of educational technology, from the printing revolution of the 15th century to the rise of modern online education, reviewing how the printing press triggered the democratization of education and laid the foundations for the establishment of a public education system; examines in detail how advances in electronic technology in the 20th century, including television and computers, have greatly expanded the scope of education; examines the development of online education made quality educational resources accessible to students worldwide.

During the Epidemic Prevention and Control Period, the Principal’s Management of Online Course Teaching in Chinese Universities

At the end of 2019, the new crown epidemic swept across the globe and also affected education systems around the world. This paper aims to explore the challenges brought by the pandemic crisis to online classroom teaching, and the principal’s exploration of the emergency management model of online course teaching, that is, how Chinese universities can quickly implement large-scale online teaching, and how teachers and students can quickly adapt to online teaching. Demonstrate the process of managing online classroom instruction and the problems and solutions encountered by headmasters in the context of an epidemic. Opening up a new perspective for the sustainable development of online education in the future.

Research on Online International Chinese Language Teaching in the Digital Age

With the continuous progress of science and technology, we have gradually entered a digital technology-led era, that is, the digital era. This era brings great opportunities, but also with a variety of challenges. The Digital Age has brought about great changes in our lives. In terms of education, digital technology provides learners with more learning resources and diversified learning paths. More and more people rely on the information technology and its derivatives and bring a variety of hardware equipment, making online Chinese teaching to comply with the Internet era, the development of online teaching and research started late in our country, in the mid-1990s began to develop, on-line Chinese teaching research is yet to be improved. Against the background of a great deal of research on online foreign language teaching and a lack of research on online Chinese teaching, this paper takes online Chinese teaching as a research point, it highlights the differences between online and offline Chinese teaching and the characteristics of online Chinese teaching. In this paper, using the method of literature research, first of all, the concept of online Chinese language teaching is summarized, but also on the theoretical support of online Chinese language teaching 052.5%. And the development of online Chinese teaching is summarized. This paper expounds the teaching process of online Chinese teaching, and advances some suitable solutions to the problems existing in online Chinese teaching.

Investigating university students’ online proctoring acceptance during COVID-19: An extension of the technology acceptance model

To ensure the normal operation of teaching and meet the needs of teaching quality assessment in the COVID-19 situation, universities in various countries have adopted online proctoring for assessment. The epidemic has accelerated the development of online education. Online proctoring, as an integral part of future online teaching, has not yet drawn sufficient attention. To understand students’ experiences and attitudes towards initial online proctoring, an extended technology acceptance model was utilised to examine the motivations and barriers that influence students’ online proctoring acceptance in terms of technology perception, presence and social influence. Structural equation models were used to analyse data from a questionnaire survey of 760 university students. Results revealed that social influence, social presence and perceived usefulness are the significant predictors of online proctoring acceptance. Social influence and social presence have significant positive effects on online proctoring acceptance through perceived usefulness, and social presence has a positive effect on perceived ease of use. However, perceived ease of use has a significant negative effect, while place presence has no significant effect. Implications, limitations and future work are discussed at the end. Implications for practice or policy: Online proctoring organisers can bring a better exam experience to students by ensuring the flexibility and integrity of online proctoring. Online proctoring workers can improve students' exam experience by building a positive group atmosphere in the early stages of online proctoring applications. Social recognition and support for online proctoring can enhance students' choice and willingness to use online proctoring and increase opportunities for online proctoring development.

BIBLIOMETRIC ANALYSIS OF SCIENTIFIC PUBLICATIONS IN THE FIELD OF ONLINE EDUCATION

Online learning has become a necessity for students in Ukraine since the beginning of the pandemic and then the full-scale invasion of Ukraine by the Russian Federation. The development of online education and the creation of effective tools for its implementation are becoming relevant. A significant number of teachers and students have gone abroad for evacuation, and therefore the distance format is the most acceptable for them. In order to avoid significant losses in knowledge acquisition due to the war, it is necessary to develop online education and create appropriate initial content. The article presents the results of a bibliometric analysis of a number of scientific publications on online education that were published in the "pre- and post-conflict" periods (2014-2018 and 2019-2023, respectively). The purpose of the study is to examine the conceptual apparatus of the term "Online Education" in the context of 5 years before and after the COVID-19 pandemic. To conduct the analysis, the authors used such bibliometric tools as VOSviewer and Bibexcel. Based on the results of the bibliometric analysis, the authors created a graphical visualization and cluster distribution of the conceptual apparatus (including interrelationships). The LinLog/modularity normalization method was used to build the network visualization. The most cited publications of certain time periods were analyzed. Thus, there has been a sharp increase in the publication activity of scientists on the topic of online learning and online education since 2019. Conclusions have been drawn about current trends in online education related to the global pandemic. When building the visualization clusters, four patterns were identified: the cluster components reflect the concepts of classical educational elements that have moved to the online environment; the main advantages of online education and tools that make it accessible to users; elements of the online learning process and their features; the main methodology of online teaching, which is based on the use of massive open online courses and training videos on various platforms. Scientific research during the COVID-19 pandemic and developments in the field of distance learning technologies will become the basis for maintaining the educational process during the war in Ukraine. Studies in different countries show that the number of platforms and open primary courses that can be used by teachers and professors in teaching students is growing.

Deep Learning-Based Big Data Analytics Model Based on Teaching Reforms in Three-Dimensional Composition

With the development of online education and big data analysis, new teaching models and methods have emerged. The integration of online and offline teaching modes based on big data analysis has become an effective way to promote teaching reform and practice in the field of three-dimensional composition. It is important to incorporate teaching reform into the teaching of three-dimensional composition to improve the quality of education and better prepare students for their future careers. This paper evaluated the contribution of teaching reform to the improvement of student performance. This paper designed a Deep Learning (DL) big data analytics model for data clustering and classification. The student performance is monitored for both online teaching and offline teaching classes. The collected data is clustered with the directional clustering process for the computation of feature space. With the estimated feature space value Hidden Markov Model (HMM) is implemented for the estimation of statistical data derived from the feature spaces. The extracted data were applied over the RESENT- 50 model for the classification of students’ performance. The data analysis with DL model stated that student performance in offline teaching is more significant than offline teaching in 3-dimensional aspects.

Hybrid Learning: A New Learning Model that Connects Online and Offline

Based on the background of the novel coronavirus pandemic, education is also facing severe challenges. In order to jointly fight against the epidemic, the Ministry of Education implemented the national order of "no suspension of classes and changed the traditional offline teaching into online teaching connected by the Internet, this is a major educational innovation not only in China but also around the world. The rapid development of the Internet accelerates social progress and promotes the development of emerging industries. Likewise, electronic elements are also incorporated into educational facilities and teaching management, which is more convenient and innovative than the traditional educational mode in the past. Thanks to the rapid development of the Internet, we can continue to study in the period of epidemic. Online learning is different from offline teaching. Spatial distance and environmental differences all affect the smooth development of online education. However, every learning mode has many problems at the beginning, and what we need to do is to solve the problems. Therefore, a new learning mode, hybrid learning, has emerged in response to the problems generated by online teaching.