Generative Artificial Intelligence and Personalized Learning Environment: Challenges and Opportunities

Abstract

The review paper thus aims to engage in an assessment of the power of transformation and prospects through an infusion of generative AI technologies into the personalized learning environment. The objective is thus synthesizing research findings on applications, benefits, challenges, and ethical considerations connected with generative AI in education. It entails a structured review of the available body of literature on studies that explore how AI-driven tools, including ChatGPT, GANs, and VAEs, represent learning experiences. This will be considered for review under aspects of adaptive learning systems, intelligent tutoring, mechanisms for real-time feedback, and the automation of administrative tasks. Findings indicate that generative AI personalizes learning by tailoring educational content, increasing student engagement, and optimizing the probability of divergent learning outcomes. AI technologies in particular support non-native speakers of languages, instant feedback, and facilitate adaptive learning environments that adapt to the progress and learning style of a student. However, academic integrity, data privacy, algorithmic bias, and ethical use of AI are at the forefront. The review raises the need for stringent policies and ethical guidelines for all these challenges. Second, enabling training in the responsible application of AI tools among educators and learners will attain benefits with reduced risks. Examination of some long-term consequences that integration may have on student performance, development of transparent algorithms of AI, and sourcing of equitable access to the AI-boosted educational resources set future research directions. The paper concludes by advocating for a balanced incorporation of generative AI in education, with the need to collaborate among educators, policymakers, and technologists in the pursuit of an inclusive, effective, and ethical learning environment. Of note, the transformative potential that AI has on personalized learning is huge; however, careful thought must be put into its challenges on the road to successful implementation.