COVID-19’s pandemic has hastened the expansion of online learning across all levels of education. Countries have pushed to expand their use of distant education and make it mandatory in view of the danger of being unable to resume face-to-face education. The most frequently reported disadvantages are technological challenges and the resulting inability to open the system. Prior to the pandemic, interest in distance learning was burgeoning, as it was a unique style of instruction. The mini-review aims to ascertain students’ attitudes about distant learning during COVID-19. To accomplish the objective, articles were retrieved from the ERIC database. We utilize the search phrases “Distance learning” AND “University” AND “COVID.” We compiled a list of 139 articles. We chose papers with “full text” and “peer reviewed only” sections. Following the exclusion, 58 articles persisted. Then, using content analysis, publications relating to students’ perspectives on distance learning were identified. There were 27 articles in the final list. Students’ perspectives on distant education are classified into four categories: perception and attitudes, advantages of distance learning, disadvantages of distance learning, and challenges for distance learning. In all studies, due of pandemic constraints, online data gathering methods were selected. Surveys and questionnaires were utilized as data collection tools. When students are asked to compare face-to-face and online learning techniques, they assert that online learning has the potential to compensate for any limitations caused by pandemic conditions. Students’ perspectives and degrees of satisfaction range widely, from good to negative. Distance learning is advantageous since it allows for learning at any time and from any location. Distance education benefits both accomplishment and learning. Staying at home is safer and less stressful for students during pandemics. Distance education contributes to a variety of physical and psychological health concerns, including fear, anxiety, stress, and attention problems. Many schools lack enough infrastructure as a result of the pandemic’s rapid transition to online schooling. Future researchers can study what kind of online education methods could be used to eliminate student concerns.

Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease student anxiety, instill a feeling of ownership in students as they go, and confirm the module’s subject notion. Online formative assessment (OFA) emerged as a result of the convergence of formative and computer-assisted assessment research. Bibliometric analyses provide readers with a comprehensive understanding of a study topic across a particular time period. We used a PRISMA-compliant bibliometric method. The Scopus database was searched for BibTex-formatted publication data. In total, 898 studies were analyzed. According to the results, Assessment & Evaluation in Higher Education and Computers & Education are the most influential sources. RWTH Aachen University and Universitat Oberta De Catalunya are the most effective institutions. The red cluster includes terms associated with higher education and evaluation. The word “e-assessment, e-learning, assessment, moodle” appears in the green cluster. This group is quite influential yet has a low centrality. The highest percentage is 79.2 for “online assessment”. The subject is comprised of three components: “distance learning”, “accessibility”, and “assessment design”. The most important topics were “e-assessment”, “higher education”, and “online learning”. According to the country participation network, the USA and UK were the two main centers.

Our aim in this research was to analyze studies in the area of Augmented Reality applications and research throughout the world using meta-analysis methods in order to determine trends in the area. For the purpose of the study, a total of 1008 pieces of research, published between 2001 and 2019 and selected by purposeful sampling method were analyzed. Trends of Augmented Reality applications and research throughout the world were examined under 13 criteria. These criteria were; index, year of publication, number of authors, country of research, area of research, method, education grade, sample group, sample number, data collection method, bibliography number, analysis tech-niques, purpose of research, and research trends. These data were interpreted based on percentage and frequency. In Augmented Reality, technologies are integrated in many fields such as education technology, engineering arts, visual arts education and special education.

This paper aims to conduct a bibliometric analysis and a comprehensive overview of publications on ChatGPT in educational research. This research also aimed to present the bibliometric results to interpret the research patterns and themes of the application of ChatGPT in educational research. The researchers used the VOSviewer program to conduct a bibliometric analysis and identify research patterns and topics in publications indexed in the Scopus database. For this purpose, the researchers used the Scopus database to find related publications. After applying inclusion and exclusion criteria, they found 82 publications and analyzed them using the bibliometric method. This study showed that researchers from 42 countries examined various topics, including academic writing, artificial intelligence’s (AI) potential, and benefits, using ChatGPT in research, exploring best practices, and reviewing AI. The keyword analysis results showed that five clusters emerged from the current studies on ChatGPT in education research. These results showed that researchers focused on understanding the use of ChatGPT in medical and nursing education, generative AI’s ethical dimensions, the effects of ChatGPT on educational outcomes, large language models and medical education, and ChatGPT and AI. In general, the use of ChatGPT in educational contexts and research is frequently discussed in the publications analyzed in this study. In addition, medical and nursing education was the most studied of the many research studies. Based on the obtained results, recommendations for further studies are drawn.

The article presents models analysis which exist in entrepreneurial activity; distinguishes the stages and peculiarities of entrepreneurial forming and development, reveals the essence of innovative entrepreneurship in conditions of education, science and manufacture integration, finds regularities and proves the principles of teachers innovative and entrepreneurial competence forming in higher technical schools, and also discloses regional practice of innovative and entrepreneurial activities implementation in the educational institutions of professional education. The material of this article is of practical value for the administration and the teaching staff of higher educational institutions of professional education in innovative and entrepreneurial activities implementation in the University, and also for teachers and students innovative and entrepreneurial competence forming.

The rapid implementation of generative artificial intelligence (AI) in higher education has emphasized the necessity to comprehend the factors that impact its acceptance among students. This study examines the influence of digital media literacy on attitudes toward generative AI acceptance in higher education. Utilizing a cross-sectional survey design, a quantitative research methodology was implemented. The research sample included 451 undergraduate students from Kazan Federal University. The assessment of digital media literacy encompassed five sub-dimensions: Device Access, Content Access, Technical Understanding, Critical Understanding, and Create. The acceptance of generative AI was assessed using a scale modified from prior studies. The study employed structural equation modeling to analyze the connections between the sub-dimensions of digital media literacy and attitudes toward accepting generative AI. The results indicated that Content Access and Create had a noteworthy positive influence on attitudes toward accepting generative AI, whereas Technical Understanding had a considerable negative effect. The implementation of Device Access yielded a modest yet noteworthy positive effect, while the introduction of Critical Understanding did not result in a substantial impact. This study contributes to the expanding body of literature on digital media literacy and its influence on the acceptability of technology in higher education. The results underscore the significance of cultivating digital media literacy skills, particularly those related to content access and creation, to prepare students for the complexities and opportunities presented by generative AI in higher education. The study offers recommendations for educators, policymakers, and academics while acknowledging its limitations and suggesting directions for future research.