TECHNOLOGICAL AUGMENTATION OF CREATIVE LESSON DESIGN: AI-ENHANCED FRAMEWORKS FOR PERSONALIZED LEARNING
DOI:
https://doi.org/10.5281/zenodo.18468739Keywords:
technological augmentation, creative lesson design, artificial intelligence in education, AI-enhanced frameworks, personalized learning, adaptive learning systems, educational technologyAbstract
This article investigates the technological augmentation of creative lesson design through the integration of artificial intelligence (AI) enhanced frameworks for personalized learning. The study explores how AI-driven tools and adaptive technologies support creativity, learner engagement, and individualized instructional pathways in contemporary educational settings. By examining AI applications such as intelligent tutoring systems, learning analytics, generative content tools, and adaptive assessment models, the article highlights their role in transforming traditional lesson design into dynamic, learner-centered experiences. Particular attention is given to the balance between technological automation and pedagogical creativity, emphasizing the teacher’s role in orchestrating AI-supported learning environments. The findings suggest that AI-enhanced creative lesson frameworks enable differentiated instruction, real-time feedback, and personalized learning trajectories while fostering critical thinking and creative problem-solving skills. The article concludes that effective technological augmentation, when guided by sound pedagogical principles, has the potential to significantly enhance the quality and inclusiveness of creative lesson design in personalized learning contexts.
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