Artificial Intelligent Robots for Precision Education: A Topic Modeling-Based Bibliometric Analysis

Xieling CHEN, Gary CHENG, Di ZOU*, Baichang ZHONG, Haoran XIE

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

As a human-friendly system, the artificial intelligence (AI) robot is one of the critical applications in promoting precision education. Alongside the call for humanity-oriented applications in education, AI robot-supported precision education has developed into an active field, with increasing literature available. This study aimed to comprehensively analyze directions taken in the past in this research field to interpret a roadmap for future work. By adopting structural topic modeling, the Mann-Kendall trend test, and keyword analysis, we investigated the research topics and their dynamics in the field based on literature collected from Web of Science and Scopus databases up to 2021. Results showed that AI robots and chatbots had been widely used in different subject areas (e.g., early education, STEM education, medical, nursing, and healthcare education, and language education) for promoting collaborative learning, mobile/game-based learning, distance learning, and affective learning. However, a limited practice in developing true human-centered AI (HCAI)-supported educational robots is available. To advance HCAI in education and its application in educational robots for precision education, we suggested involving humans in AI robot design, thinking of individual learners, testing, and understanding the learner–AI robot interaction, taking an HCAI multidisciplinary approach in robot system development, and providing sufficient technical support for instructors during robot implementation.
Original languageEnglish
JournalEducational Technology and Society
Volume26
Issue number1
Early online dateAug 2022
Publication statusE-pub ahead of print - Aug 2022

Keywords

  • Artificial intelligence robots
  • Topic modeling
  • bibliometric analysis
  • Precision education
  • Research topics
  • Future of human-centered artificial intelligence

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