Work place: Department of Computer Science, Ho Technical University, P. O. Box HP 217, Ghana
Research Interests: E-learning experience management, Wireless Sensor Networks, Internet of Things, Wireless Networks
Noble Arden Elorm Kuadey received a Master of Science in Engineering (Information Systems) degree in 2010 from the Norwegian University of Science and Technology (NTNU), Trondheim, Norway and a B.Sc. (Hons.) degree in Computer Science in 2007 from the University of Cape Coast (UCC), Cape Coast, Ghana. He is a graduate student member of IEEE and a member of the International Association of Engineers. He is a Lecturer in the Department of Computer Science, Ho Technical University, Ho, Ghana. His research interest includes 5G wireless networks, Network Slicing, Internet of Things, Educational Technologies, AI in Education, E-Learning, and M-Learning in a Higher Education.
DOI: https://doi.org/10.5815/ijeme.2023.06.01, Pub. Date: 8 Dec. 2023
A bibliometric analysis study investigating chatbots' current state and developments in education research has not been adequately addressed in literature. Thus, this study highlights the current state, emerging research trends and directions of chatbots in education using bibliometric analysis. The significance of the study is to provide insights into the most recent developments of chatbots application in education and future research directions for academics and practitioners. A bibliometric analysis of publications on chatbots in education published between 2012 and 2022 was conducted. A total of 759 publications were collected from the Scopus database for the bibliometric analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was adopted to identify and screen the dataset. VOSviewer (version 1.6.18) was used to perform the following network analysis: co-authorship and co-occurrence. Also, Bibliometrix was used for the descriptive statistics of the bibliometric data and the publication trend. The study’s findings showed that fewer studies have been conducted from the African region on chatbot education research. Researchers from the United Kingdom, United States, Australia, China, India, Greece, Japan, Vietnam, Malaysia, and United Arab Emirates have collaborated significantly in chatbot education research. Also, the main keyword occurrences in research on chatbots in education are chatbots, students, artificial intelligence, natural language processing, education, and learning. The trends indicate a steady increase in research on chatbots over the past decade.[...] Read more.
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