Key points are not available for this paper at this time.
Recently, the field of artificial intelligence (AI) has advanced significantly, with generativeAI rising to the top of the tech industry's most-discussed subjects list. Education like manyother fields could be transformed by generative AI like ChatGPT, Bard, DALL-E,Midjourney, and DeepMind, which all have the ability to revolutionize a number of industrieswith all the benefits and drawbacks they entail.The paper begins by providing an overview of generative AI, highlighting its capacity togenerate human-like text, images, and even interactive simulations. It delves into theunderlying principles and techniques that empower generative AI models, focusing onprominent models like ChatGPT and Midjourney.To assess the effectiveness of generative AI in educational contexts, the paper examinesstudies that have evaluated learning outcomes, student engagement, and teacher support.These findings provide insights into the efficiency of generative AI as a supplementaryeducational tool and its role in fostering innovative teaching practices. The paper also addressesconcerns around the technology being too integrated into education like over dependence andcheating.Finally, the paper discusses future possibilities and challenges for the integration of generativeAI in education. It proposes strategies for maximizing the benefits of this technology whileensuring ethical considerations are met. The paper concludes with a call for further researchand collaboration between AI experts, educators, policymakers, and other stakeholders toharness the full potential of generative AI in transforming the learning landscape.
Muhammet Emir Kars (Wed,) studied this question.