Chatbots in Education: A Bibliometric Analysis of Publications from 2013-2023
Keywords:
Chatbots, Education, Learning, Bibliometric AnalysisAbstract
This study aims to analyze the development trend of researching articles related to chatbots in education. The method used in this study was bibliometric analysis with the help of the VOSViewer application. Publication data was collected using the Publish or Perish application to obtain article data in Google Scholar-indexed journals. This study analyzed publications from 2013 to 2023. An initial search found a total of 606 articles. The data was then processed and double-checked using the Microsoft Excel application. After double-checking, several articles were found that were the same, so the total number of articles collected was 598. The research development trend has increased yearly related to chatbots in education, except in 2023 because this research was conducted in june 2023. Topics often discussed recently besides the keywords used in searches were covid, higher education, natural language process, context, English performance, text, online learning, AI chatbot, and language learning. Most often used keywords were chatbot, analysis, learning, student, application, study, deep learning, system, machine learning, and machine. However, some topics should be discussed more, such as fields (fields of study in subjects) and analysis (analysis). It is expected that this study can be a starting point for other researchers to develop research on these topics.
References
Adamopoulou, E., & Moussiades, L. (2020). Chatbot: History, technology, and applications. Machine Learning with Applications, 2, 100006. https://doi.org/10.1016/j.mlwa.2020.100006
Al Husaeni, DF, & Nandiyanto, ABD (2022). Bibliometric Computational Mapping Analysis of Publications on Mechanical Engineering Education Using VOSViewer. Journal of Engineering Science and Technology , 17(2), 1135-1149
Belda-Medina, J., & Calvo-Ferrer, JR (2022). Using Chatbot as AI Conversational Partners in Language Learning. Applied Sciences (Switzerland), 12(17). https://doi.org/10.3390/app12178427
Busro, B., Mailana, A., Sarifudin, A. (2021). Bibliometric Analysis on the Scopus Database. Journal of Islamic Education, 10(01). https://doi.org/10.30868/ei.v10i01.1591
Chen, M .R. A, & Lin, Y. H. (2023). AI Chatbot-Supported Grammar Tense Learning on EFL Students Learning Effectiveness. INTED2023 Proceedings, 17th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2023.0353
Colace, F., De Santo, M., Lombardi, M., Pascale, F., Pietrosanto, A., & Lemma, S. (2018). Chatbot for e-learning: A case of study. International Journal of Mechanical Engineering and Robotics Research, 7(5), 528–533. https://doi.org/10.18178/ijmerr.7.5.528-533
Dewi, D. A, Julia, J., & Jonathan, C. (2022). Digital Training in Building Chatbot-based Online Learning Media: Action Research for Teachers in Semarang City through the “Train The Teachers” Training. Mimbar Sekolah Dasar, 9(1), 188–208. https://doi.org/10.53400/mimbar-sd.v9i1.44460
Fauziah, A., Endang M. Kurnianti, & Otib Satibi Hidayat. (2022). Development of Chatbot Website Learning Media Based on Problem-Solving in Data Presentation Materials for IV Grade Elemntary School. Efektor, 9(1), 23–34. https://doi.org/10.29407/e.v9i1.16348
Febrilian Zulrahman, M., & Syahputra, H. (2023). Utilization of Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA) in The Development of E-Education Chatbot. Journal of Information Technology and Computer Science (INTECOMS), 6(1).
Fernando, D., & Fahruddin. (2023). History Of The Industrial Revolution. Santhet. 7(1), 1–5. https://doi.org/10.36526/js.v3i2
Herfian, RM, & Adriansyah, RA (2021). Analysis and Design of Chatbot Applications in The Admission of New Students in Higher Education. Jurnal Informatika Terpadu, 7(2), 87–93.
Huang, W., Hew, KF, & Fryer, LK (2022). Chatbot for language learning—Are they really useful? A systematic review of chatbot-supported language learning. Journal of Computer Assisted Learning, 38(1), 237–257. https://doi.org/10.1111/jcal.12610
Ismail. (2022). Learning Technology in the Development of Profesional Islamic Education in Indonesia: Biliometric Analysis. Journal of Scientific Mandala Education (JIME), 8(2). https://doi.org/10.36312/jime.v8i2.3312/
Nuryadin, A., Rusmana, N., Lidinillah, DAM, Prehanto, A., & Desmawati, SA (2023). Social Presence in Online Learning: Bibliometric Analysis of 2012-2022 Publications. Education: Journal of Educational Sciences, 5(1), 335–347.
Purwanto, H., Wibowo, LA, & Rahayu, A. (2023). Covid-19 Pandemic as a Catalyst for Digital Transformation: A Bibliometric Analysis using Vosviewer. Journal of Business Management (JMB), 10(1), 120–141. https://doi.org/10.33096/jmb.v10i1.485
Putra, M. R. A. (2023). Education Dependence on Technology: Challenges and Criticism of the Concept of Education 5.0. In Proceeding Series of Educational Studies (pp.183-186). Malang. University of Malang
Lubis, M. S. Y. (2021). Artificial Intelligence Implementation in Integrated Manufacturing Systems. In Proceedings of the National Engineering UISU 2021 (pp. 1-7). Medan: Universtas Islam Sumatera Utara
Sukyadi, D., Maryanti, R., Rahayu, I., & Muktiarni, M. (2022). Computational Bibliometric Analysis of English Research in Science and. Journal of Engineering Science and Technology, Special Issue on ISCoE2022, 14–26.
Wijaya, MH, Sarosa, M., & Tolle, H. (2018). Design and Build a Java Learning Chatbot on Google Classroom and Facebook Messenger. Journal of Information Technology and Computer Science. https://doi.org/10.25126/jtiik.201853837
Zulkarnain, MA, Raharjo, MF, Olivya, M. (2020). Designing a Chatbot Application as an E-Learning Media for Students. Electron Scientific Journal, 12.
