CREATING PERSONALIZED LEARNING PATHWAYS THROUGH ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE STUDY
Keywords:
Keywords: Artificial Intelligence, Personalized Learning, Adaptive Learning Systems, Intelligent Tutoring Systems, Machine Learning in Education, Learning Analytics, Predictive Modeling, Digital Pedagogy, AI Ethics in Education, Educational TechnologyAbstract
Abstract: this paper explores the growing role of artificial intelligence in
shaping modern education through the development of personalized learning
pathways. Traditional instructional models often assume that all learners progress at
the same pace and possess similar abilities, which leads to disengagement and uneven
learning outcomes. Artificial intelligence introduces adaptive tools that adjust to the
learner’s knowledge level, learning speed, and individual characteristics. This study
reviews theoretical foundations supporting personalized learning, explains how AI
systems function within educational environments, and highlights their advantages and
challenges. It also addresses ethical considerations and future directions. The analysis
demonstrates that while AI has the potential to significantly enhance learner-centered
education, issues such as data privacy, algorithmic bias, teacher preparedness, and
equitable access must be carefully managed.
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