Date
Publisher
arXiv
AI-based Intelligent Tutoring Systems (ITS) have significant potential to
transform teaching and learning. As efforts continue to design, develop, and
integrate ITS into educational contexts, mixed results about their
effectiveness have emerged. This paper provides a comprehensive review to
understand how ITS operate in real educational settings and to identify the
associated challenges in their application and evaluation. We use a systematic
literature review method to analyze numerous qualified studies published from
2010 to 2025, examining domains such as pedagogical strategies, NLP, adaptive
learning, student modeling, and domain-specific applications of ITS. The
results reveal a complex landscape regarding the effectiveness of ITS,
highlighting both advancements and persistent challenges. The study also
identifies a need for greater scientific rigor in experimental design and data
analysis. Based on these findings, suggestions for future research and
practical implications are proposed.
What is the application?
Why use AI?
Study design
