Artificial Intelligence (AI) significantly enhances adaptive learning by personalizing
and tailoring instruction to individual student needs. AI analyzes data in real-time
to create personalized learning paths based on students’ strengths, weaknesses, and
preferences, which keeps students engaged and
motivated. A major benefit of AI in adaptive learning is the provision of real-time
feedback and assessment, allowing students to correct mistakes promptly and understand
concepts more thoroughly. AI-based intelligent tutoring systems are primarily intended
to simulate personalized tutoring processes that guide students in complex problem-solving
and answering questions. It is convenient in teaching mathematics, sciences, and languages.
AI also supports inclusive education, dealing with diversified learning requirements
and styles, such as those of learners with disabilities. For the teacher, AI acts
as a reflector of student performance so that one can intervene early and make adjustments
in the method of instruction by creating effective learning environments. AI technology
is a field in constant development and harbors the potential to change the face of
adaptive learning, bringing an upswing in educational outcomes. This article will
summarize the advantages and features that merit improvement of the AI-embedded adaptive
learning systems with student feedback.
