Utilizing Modern Approaches to Teaching: From Traditional Methods to AI-Enhanced Learning

The practice of teaching has continually evolved, moving from oral traditions and apprenticeship models to structured classroom instruction and, more recently, technology-enhanced learning environments. Contemporary methodologies such as humanistic education, cooperative learning, and social constructivism have emphasized learner autonomy, collaboration, and critical thinking, marking a shift away from rigid, teacher-centered models. The increasing use of blended learning and digital platforms has further expanded flexibility and accessibility in education. In the current era, the integration of Artificial Intelligence (AI) represents a transformative stage in this developmental trajectory. This study employs a qualitative, narrative literature review to examine how AI reshapes pedagogical theory and practice. The analysis identifies three major trends—humanistic and cooperative learning, social constructivism, and AI-enhanced education—revealing how AI both extends and challenges earlier frameworks. Findings suggest that while AI can personalize instruction, optimize feedback, and increase access, it cannot replace the human dimensions of empathy, mentorship, and ethical guidance. The paper concludes that effective pedagogy in the AI age requires a balanced integration of technological innovation and human-centered values.

کلیدواژه ها:

Artificial intelligence ، Student-centered learning ، Blended learning ، Humanistic education ، Teaching approaches