Chatbots in education in Web of Science from 2016 to 2023: A bibliometric analysis
Vol 8, Issue 9, 2024
VIEWS - 135 (Abstract) 104 (PDF)
Abstract
Despite the surge of publication of chatbots in the recent years in the field of education, we have little to know how this area has been researched so far, and the metrics of this type of research is still not known. To address such gap, this article offers a descriptive bibliometric study of chatbot research in education, aiming at presenting bibliometric analysis on articles on chatbots in education that were published in journals indexed in the Web of Science (WOS) database specifically Social Science Citation Index (SSCI) and Science Citation Index Expanded (SCIE) between 2016 and 2023. Descriptive bibliometric analysis was used to examine the data gathered from the chosen publications. including the annual number of articles and citations, the most productive author, countries with the highest publication output, productive affiliations, funding organizations, and publication sources. The bulk of the articles on chatbots in education, according to our dataset, were published between 2016 and 2023. The United States of America tops the list of countries regarding research productivity. The United Kingdom and China were ranked as most second and third productive countries, in terms of publication outputs. “Luke Kutszik Fryer emerged as the most productive author in this research domain in terms of the number of publications.” The University of Hong Kong had the highest number of publications among affiliations, indicating their significant contribution to the field. Additionally, the journal “Computers in Human Behavior” stood out with the highest number of publications per year, highlighting its relevance in publishing research on chatbots in education. This research offers valuable insights and a roadmap for prospective researchers, pinpointing critical areas where success can be attained in the study of chatbots in education.
Keywords
Full Text:
PDFReferences
Anderson, J., Smith, R., & Johnson, L. (2020). Enhancing personalized learning through chatbots in education. Journal of Educational Technology, 25(2), 45–60.
Bii, P. K., & Too, J. K. (2022). Chatbots in education: A scoping review of the literature. International Journal of Education and Development using Information and Communication Technology, 18(1), 110–125
Biswas, B., & Bose, R. (2019). Chatbots for learning: Exploring the learning potential. Journal of Educational Technology Systems, 48(2), 192–208.
Hallinger, P., & Chatpinyakoop, C. (2019). A bibliometric review of research on higher education for sustainable development, 1998–2018. Sustainability, 11(8), 2401. https://doi.org/10.3390/su11082401
Hobert, S., & Solvie, P. A. (2020). Chatbots to support students in task-oriented learning. In: Proceedings of the 53rd Hawaii International Conference on System Sciences; 7-10 January 2020; Maui, Hawaii, USA.
Hwang, G. J., & Chang, C. Y. (2021). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 29(3), 4099–4112. https://doi.org/10.1080/10494820.2021.1952615
Johnson, L. (2018). Personalized learning with chatbots: A review of current research. International Journal of Educational Technology, 12(1), 43–58.
Johnson, L. (2020). Advancements in natural language processing for educational chatbots. Journal of Artificial Intelligence in Education, 35(2), 89–104.
Lee, M., & Kim, S. (2019). The impact of a language learning chatbot on students’ language proficiency. Journal of Computer-Assisted Language Learning, 32(3), 123–138.
Lee, S., Kim, H., & Park, M. (2019). Mapping the intellectual structure of chatbots in education: A bibliometric analysis. Computers & Education, 134, 104–119.
Li, J., & Chen, G. (2017). Chatbots as Facilitators in Online Learning Environments: A Review of Recent Applications. Computers & Education, 115, 1–11.
Liaw, S. S., Huang, H. M., & Chen, G. D. (2017). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 114, 1–12.
Lin, Y., & Yu, Z. (2023). A bibliometric analysis of artificial intelligence chatbots in educational contexts. Interactive Technology and Smart Education, 21(2), 189–213. https://doi.org/10.1108/itse-12-2022-0165
Liu, L., & Duffy, V. G. (2023). Exploring the Future Development of Artificial Intelligence (AI) Applications in Chatbots: A Bibliometric Analysis. International Journal of Social Robotics, 15, 703–716. https://doi.org/10.1007/s12369-022-00956-0
Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033.
Pradana, M., Elisa, H. P., & Syarifuddin, S. (2023). Discussing ChatGPT in education: A literature review and bibliometric analysis. Cogent Education, 10(2). https://doi.org/10.1080/2331186x.2023.2243134
Smith, J., Johnson, A., & Brown, C. (2020). Bibliometric analysis of chatbots in education: A systematic review. Journal of Educational Technology, 53(2), 123–145.
Sung, J., Lee, J., Noh, H., & Park, Y. (2019). The Impact of social media on Adolescents’ Mental Health: A Systematic Review. International Journal of Environmental Research and Public Health, 16(12), 2164.
Vaidya, S., & Joshi, A. (2018). Chatbots in education: A review. In: Proceedings of the 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). pp. 1–6.
Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In: Measuring scholarly impact. Springer. pp. 285–320.
Wang, Y., Chen, C., & Liu, Y. (2017). Bibliometric analysis of chatbots in K-12 education: A scoping review. Educational Technology Research and Development, 65(5), 1195–1216.
DOI: https://doi.org/10.24294/jipd.v8i9.5833
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Amirah Al-Zahrani, Ibrahim Khalil, Bakri Awaji, Mohammed Mohsen
License URL: https://creativecommons.org/licenses/by/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License.