A Comprehensive Survey on Generative AI Techniques and their Tools: Recent Advances, Applications, Opportunities, and Challenges

Abstract

Generative AI has quickly become a ground breaking technology with wide-ranging impacts in areas such as natural language processing, image generation, creative content creation, and education. This paper provides an in-depth overview of generative AI, highlighting recent developments, various applications, and the challenges it entails. We explore essential generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and diffusion models, offering an overview of their functionality and applications across various fields such as healthcare, entertainment, and marketing. A major focus of this paper is the influence of generative AI within the educational sector. We examine how these technologies are transforming teaching methods by enabling personalized learning, automating grading processes, and allowing the creation of interactive and immersive educational content. AI-driven tools are also fostering student engagement by offering tailored tutoring and promoting creative thinking through generative content. Moreover, we analyze how generative AI is influencing assessment practices with automated essay scoring and dynamic, adaptive testing systems that can evaluate higher-order cognitive skills. This paper also addresses the ethical considerations surrounding the use of generative AI, specifically issues such as academic integrity, data privacy, and fairness in AI-driven assessments. These challenges underscore the need for a thoughtful approach to the integration of AI tools in educational settings. Ultimately, the paper highlights future research opportunities, stressing the importance of further investigating generative AI's potential to improve education while addressing the associated risks. By offering insights into both the opportunities and challenges posed by generative AI, this paper aims to assist educators and researchers in effectively incorporating AI technologies to improve learning outcomes and teaching practices.