Introduction

Recently, there has been a growing debate about the use of large language models (LLMs) and tools like ChatGPT in schools. Some people have argued that LLMs should be banned in schools due to concerns about privacy, ethics, and the potential negative impact on education.

There are several reasons for the controversy surrounding the use of LLMs in schools. One major concern is the potential for privacy violations, as LLMs are capable of processing large amounts of sensitive personal data. Additionally, some people have raised ethical concerns about the use of LLMs for automated grading and other tasks that could impact students' futures.

While there are valid concerns about the use of LLMs in schools, there are also compelling arguments in favor of their use. For example, LLMs can provide students with access to vast amounts of information and can help to speed up research efforts. Additionally, they can help to foster creativity and innovation in the classroom.

The use of LLMs in schools is an important issue that deserves careful consideration and discussion. By balancing the benefits and concerns, educators and researchers can make informed decisions about the best way to use these tools in the classroom.

Before we discuss in detail the aspects of the controversy and I share my viewpoint, Let’s understand the benefits of using LLMs.

Speed and efficiency: One of the primary benefits of using large language models is that they can significantly speed up research efforts. LLMs can process large amounts of data and generate insights in real time, which can help researchers save time and resources. Additionally, tools like ChatGPT can be used to automate routine tasks and support more complex research projects.

Improved accuracy: Another key benefit of using LLMs is that they can lead to more accurate research outcomes. LLMs are trained on massive amounts of data and can perform complex natural language processing tasks with high accuracy. This can help researchers to generate more reliable insights and avoid errors that can occur with manual data processing.

Increased creativity and innovation: Using LLMs can also help foster research creativity and innovation. LLMs can be used to generate new ideas, support hypothesis testing, and explore novel research directions. Additionally, LLMs can help researchers to tackle complex problems that would be difficult to solve using traditional methods.

Applications in various domains: LLMs and tools like ChatGPT have a wide range of applications and can be used to support research in various domains, including natural language processing, machine learning, computer vision, and more. By leveraging the power of LLMs, researchers can tackle complex problems and make important advances in these areas.