Browsing by Author "Goru Dogan, Tulay"

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Citation - WoS: 10
Gender Sustainability and Urbanism: A Systematic Review of Literature and Cross-Cluster Analysis
(MDPI, 2023) Aysad Gudekli; Murat Ertan Dogan; Tulay Goru Dogan; Duygu Gudekli; Gudekli, Aysad; Dogan, Murat Ertan; Gudekli, Duygu; Goru Dogan, Tulay
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.
Citation - WoS: 134
Citation - Scopus: 242
The Use of Artificial Intelligence (AI) in Online Learning and Distance Education Processes: A Systematic Review of Empirical Studies
(MDPI, 2023) Murat Ertan Dogan; Tulay Goru Dogan; Aras Bozkurt; Dogan, Murat Ertan; Goru Dogan, Tulay; Bozkurt, Aras
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. © 2023 Elsevier B.V. All rights reserved.