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.
Study at a glance
- Question: How do AI tutoring systems work in real educational settings, and what challenges do they face?
- Setting and data: Studies on AI-based intelligent tutoring systems published from 2010 to 2025.
- Method: Literature review (systematic literature review)
Why it matters
As efforts continue to integrate AI-based Intelligent Tutoring Systems into educational contexts, mixed results about their effectiveness have emerged, along with challenges in their application and evaluation.
Key findings
- Across the studies reviewed from 2010 to 2025, AI-based intelligent tutoring systems showed mixed results regarding their effectiveness in real educational settings.
- Intelligent tutoring systems demonstrated meaningful advancements, but they continue to face persistent challenges in practical application and evaluation.
- Evaluations of intelligent tutoring systems demonstrated a need for greater scientific rigor in experimental design and data analysis.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Why use AI?
Study design
