Artificial Intelligence in Teaching and Learning: A Review of its Impact on Students Creativity and Innovation

Abstract

Artificial Intelligence has emerged as a transformative force in modern education, significantly reshaping teaching and learning processes across academic institutions worldwide. This study reviews the impact of AI on students’ creativity and innovation by examining recent scholarly literature related to AI-integrated educational practices. The review highlights how AI technologies such as intelligent tutoring systems, adaptive learning platforms, generative AI tools, educational chatbots, and learning analytics contribute to personalized learning, collaborative engagement, creative thinking, and problem-solving abilities among students. AI-supported educational environments enable learners to access customized content, real-time feedback, immersive simulations, and interactive experiences that enhance academic performance and innovation capacity. The study also identifies the growing role of AI in fostering critical thinking, digital literacy, and lifelong learning competencies essential for the twenty-first-century workforce. Despite these advantages, the literature reveals several concerns related to ethical issues, data privacy, algorithmic bias, digital inequality, academic integrity, and overdependence on automated systems. The findings indicate that while AI has enormous potential to revolutionize education and support creativity, responsible implementation and balanced integration remain essential to preserve originality, human interaction, and independent thinking. The study concludes that AI should function as a supportive educational partner that enhances teaching effectiveness and student learning outcomes while maintaining ethical and inclusive educational practices.