Intelligent Tutoring System Trends 2006-2018: A Literature Review

This research examined the longitudinal trends of intelligent tutoring systems (ITS) research using text mining techniques in a more comprehensive manner. Two hundred and thirty-one (231) refereed journal articles were retrieved and analyzed from the Web of Science database from the top six major educational technology-based journals, which are based on the Google Scholar metrics and Baidu Scholar in the period from January 2006 to December 2018. Content analysis was implemented for further analysis based on (a) category of research purpose, (b) disciplines domains, (c) sample group, (d) context utilization, (e) research design, (f) category of learning, (g) learning outcome, (h) periodic journal, (i) country, (j) publisher. This review research of ITS presented findings, which could be a layover platform and guidance for researchers, educators, policymakers or even journal publisher for the future research or reference in the realm of ITS regarding the latest trends.