Artificial intelligence (AI) technologies are used in many dimensions of our lives, including education. Motivated by the increasing use of AI technologies and the current state of the art, this study examines research on AI from the perspective of online distance education. Following a systematic review protocol and using data mining and analytics approaches, the study examines a total of 276 publications. Accordingly, time trend analysis increases steadily with a peak in recent years, and China, India, and the United States are the leading countries in research on AI in online learning and distance education. Computer science and engineering are the research areas that make the most of the contribution, followed by social sciences. t-SNE analysis reveals three dominant clusters showing thematic tendencies, which are as follows: (1) how AI technologies are used in online teaching and learning processes, (2) how algorithms are used for the recognition, identification, and prediction of students’ behaviors, and (3) adaptive and personalized learning empowered through artificial intelligence technologies. Additionally, the text mining and social network analysis identified three broad research themes, which are (1) educational data mining, learning analytics, and artificial intelligence for adaptive and personalized learning; (2) algorithmic online educational spaces, ethics, and human agency; and (3) online learning through detection, identification, recognition, and prediction.

Gender diversity and equality have a significant influence on policymaking regarding sustainable development, environmental issues, and urbanism. This study examines the general bibliometric outlook and research patterns of publications on gender equality, urbanism, and sustainability to provide a general perspective on the relevant literature and trends for institutions and scholars who wish to conduct research within the framework of gender, sustainability, and urbanism. The findings of this study show that there are a limited number of studies dealing with gender equality, sustainability, and urbanism. The study analyzed 308 papers in total, utilizing data mining and analytics techniques such as t-SNE and SNA for a systematic review process. The study utilized the PRISMA protocol as the research method. The results showed that research on the frame of gender, sustainability, and urbanism peaked in 2021, and the top countries for studying gender, sustainability, and urbanism are the USA, the UK, Spain, and China. The research fields that contributed the most were those dealing with environmental studies and green and sustainable technologies, followed by those dealing with business and women’s studies. The following three thematically inclined clusters were revealed by the t-SNE analysis: (1) Gender Diversity, Corporate Sustainability, and Board Governance; (2) Gender, Environmental Sustainability, Sustainable Development, and Policy Agenda; and (3) Gender, Sustainable Urbanism, and Community Development. The findings of the study revealed that fostering gender equality with policies such as gender mainstreaming, as in SDG 5 and SDG 11, and gender equality strategies of the EU or UN will help to overcome discrimination against women in the urban space and empower sustainable development.

2000’li yıllarda, dijital iletişimin ortaya çıkardığı paradigma değişikliğini fark ederek sosyal medya kullanımının avantajlarını ve önemini kavrayan yükseköğretim yöneticileri sosyal medyayı bir iletişim kanalı olarak kullanmaya başlamışlardır.Türkiye’de rektörler, genelde, sosyal medya platformlarından iletişim kurmaya en uygun ortamlardan biri olan ve mobil teknolojilerden de erişim sağlanabildiği için, kolaylığına ek olarak yaygın bir şekilde kullanılan Twitter yoluyla iletişimi tercih etmektedir. Rektörlerin iç ve dış paydaşlarla iletişim ve etkileşim kurmak için Twitter’ı kullanmaları, sık sık gerek ulusal gerekse yerel basında kendine yer bularak, bu kanalı tercih eden rektörlerin fenomen haline gelmesine neden olmuştur.Bu araştırmanın amacı, öğrencilerle sosyal medya kanalıyla iletişim kurarak fenomen haline gelen rektörlerin Twitter kullanım özelliklerini incelemektir. Araştırmanın örneklemi amaçlı örneklem yöntemi ile seçilmiştir. Araştırma nitel olarak desenlenmiş bir durum çalışmasıdır. Veriler doküman incelemesi yöntemi ile toplanarak, betimsel analiz yöntemiyle incelenmiştir.Bulgular tweet türleri, iletişimin interaktifliği, tweetlerin içerikleri, kullanılan dil, öğrenci istek ve beklentilerine ne ölçüde cevap verdiği başlıkları altında incelenmiştir. Araştırmadan elde edilen bulgulara göre, rektörlerin Twitter’ı bir iletişim aracı olarak kullanmalarının tanınırlıklarına etki etmekle birlikte, bağlı bulundukları üniversitelerin marka değerini yükseltmede etkili olduğu sonucuna ulaşılmıştır. Ayrıca istek, sorun ve şikayetlerine cevap alabilen öğrencilerin eğitim motivasyonlarının olumlu yönde etkilendiği ve üniversiteye yönelik kurumsal aidiyet duygularının arttığı gözlemlenmiştir.

Rapid changes and developments in the information and communication technologies have led to societal transformation and emergence of new social structures. In consequence of these, information has become a vital necessity for every individual in the 21st century, and the social structures have been shaped within the framework of processes for diffusion of information. Moreover, technological and societal changes gave rise to the changes in the nature of information (formation and diffusion) and in the process of having access to the information. In this study, changes in the nature of information and knowing are being discussed on the basis of the theories explaining societal change after the industrial revolution. The study will refer to the characteristics of the learning theories and theoretically assess Connectivisim, which is suggested to be a theory for the contemporary era. This paper discusses Connectivism as an approach which explains learning within the social structures of the Network Society and the Post-Industrial Society based on the review of the theories.

This study aims to reveal the strengths and limitations of the WhatsApp application as a support service in distance education, conducted through a learning management system during the Covid-19 pandemic, and make suggestions on improving its use in this capacity. Despite the lack of readiness on the part of the students and the lack of sufficient knowledge regarding distance education during the pandemic, many universities had to revert to emergency remote teaching. This situation necessitated the intensive use of various support services for the students to get the most out of their emergency remote teaching However, their lack of experience with distance education prevented them from using the support services offered by learning management systems. Due to the increasingly widespread use of mobile technologies, one of the support services used by course instructors became the WhatsApp application. The following research is a qualitative case study. The sample for the study was determined through purposive sampling. The data was analyzed using the content analysis method. Nvivo qualitative data analysis software was used to contribute to the detailed and versatile data analysis. The most important results of the study were that the application supported and strengthened distance learning by allowing instant communication, but that the absence of a moderator caused various limitations in this communication. In addition, it was concluded that incorporating natural language processing techniques into learning management systems and clearly stated rules by course instructors improved the use of such instant communication applications as a support service for distance education.

This study presents a thorough analysis of the Artificial Intelligence (AI) and Human-Computer Interaction (HCI) intersection, with the aim of identifying important trends, themes, and influential research in this rapidly changing field. The integration of AI into HCI has resulted in significant advancements across various domains, such as healthcare, education, and user experience design. Although there is a growing interest in this area, the number of studies is still limited, and the research is gradually increasing. This study aims to fill the gap by providing a comprehensive overview of the current literature, focusing on the gaps, emerging trends, and future directions in AI-driven HCI. The research methodology adheres to the PRISMA protocol, which guarantees a systematic and clear review process. A total of 84 peer-reviewed publications from the Scopus database, spanning a 30-year period from 1994 to 2025, were examined. The research corpus was subjected to bibliometric analysis, Social Network Analysis (SNA), and text mining techniques to map the landscape of AI and HCI research. The study also recognized key authors, influential countries, and significant academic sources contributing to this field. The results of the analysis identified five primary thematic groups: Explainable AI (XAI), Human-Computer Interaction (HCI) and AI in Education and Training, Human-Robot Interaction (HRI), and AI and User Experience (UX). These themes emphasize the wide-ranging applications of AI in HCI, such as enhancing diagnostic precision in healthcare, personalizing educational content, and enhancing user experience through adaptive and emotionally intelligent interfaces. However, the study also revealed significant gaps in the existing literature, particularly regarding ethical considerations, transparency, and user control. The analysis indicates that ethical issues are not adequately emphasized in current research, suggesting a crucial area for future investigation. The study suggests that while AI has considerable potential to transform HCI, its successful incorporation will depend on addressing these gaps and ensuring that AI-driven systems prioritize human-centered design principles. The results also highlight the prominent role of countries like the People's Republic of China (PRC) in advancing this field, and emphasize the need for broader international cooperation. This research provides a deeper understanding of the evolving landscape of AI and HCI and serves as a foundation for future studies.