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Article Citation - WoS: 31Citation - Scopus: 40Research Trends on Distance Learning: a Text Mining-Based Literature Review From 2008 To 2018(Routledge Journals, Taylor & Francis Ltd, 2023) Gurcan, Fatih; Cagiltay, Nergiz ErcilToday's dynamic distance learning environments offer a flexible, comfortable, and lifelong learning experience, independent of space and time. In this way, it also supports and develops existing traditional training programs. The increasing importance of knowledge, skills and learning in today's technological life cycle has led to an increase and diversification of research and applications in distance learning. Accordingly, distance learning literature has a rich content supported by a multidisciplinary background. From this point of view, it is crucial to perceive the research landscape reflecting the general themes and trends studied in the field of distance learning. This study aims at revealing the distance learning research themes and trends by analyzing the 27,735 articles of journal conducted in the last decade. The methodology of the study is based on semantic content analysis implemented by N-gram-based text categorization technique. As a result, 10 main themes are discovered, namely, "System establishment", "Media", "Assessment", "Method", "Content", "Education levels", "Learner", "Research methods", "Interaction-Communication", and "Resource-Material-Tool". In this context, the findings of the study are expected to provide significant insights to guide prospective research and practice in the field and to develop continuous improvements and standards for distance education communities.Article Citation - WoS: 10Citation - Scopus: 20Covid-19 and E-Learning: an Exploratory Analysis of Research Topics and Interests in E-Learning During the Pandemic(Ieee-inst Electrical Electronics Engineers inc, 2022) Gurcan, Fatih; Dalveren, Gonca Gokce Menekse; Derawi, MohammadE-learning has gained further importance and the amount of e-learning research and applications has increased exponentially during the COVID-19 pandemic. Therefore, it is critical to examine trends and interests in e-learning research and applications during the pandemic period. This paper aims to identify trends and research interests in e-learning articles related to COVID-19 pandemic. Consistent with this aim, a semantic content analysis was conducted on 3562 peer-reviewed journal articles published since the beginning of the COVID-19 pandemic, using the N-gram model and Latent Dirichlet Allocation (LDA) topic modeling approach. Findings of the study revealed the high-frequency bigrams such as "online learn ", "online education ", "online teach " and "distance learn ", as well as trigrams such as "higher education institution ", "emergency remote teach ", "education online learn " and "online teach learn ". Moreover, the LDA topic modeling analysis revealed 42 topics. The topics of "Learning Needs ", "Higher Education " and "Social Impact " respectively were the most focused topics. These topics also revealed concepts, dimensions, methods, tools, technologies, applications, measurement and evaluation models, which are the focal points of e-learning field during the pandemic. The findings of the study are expected to provide insights to researchers and future studies.
