AI as tutor and critic : using tech to personalise education

**The King’s College London Law School’s approach to generative AI in education:**

* **AI as a Tutor:** LLMs can be trained to provide personalized feedback and guidance to students based on their individual learning styles and needs. * **Feedback Mechanisms:** LLMs can be used to provide immediate feedback on written assignments, legal briefs, and other academic work. This can help students identify areas where they need to improve and provide them with targeted suggestions for improvement.

This exercise allowed us to see how LLM capabilities can be leveraged to understand and apply legal concepts like NDAs. LLMs can be used to:

* **Generate a basic understanding of NDAs:** LLMs can provide a concise and informative overview of the key elements of an NDA, including its purpose, scope, and key provisions. * **Identify potential issues and risks:** LLMs can help identify potential legal issues and risks associated with an NDA, such as unclear language, insufficient scope, or missing provisions. * **Drafting and customizing NDAs:** LLMs can assist in drafting and customizing NDAs based on specific needs and circumstances.

The summary provided focuses on the importance of understanding the concept of “critical thinking” and its role in navigating the complexities of the modern world. It emphasizes that critical thinking is not merely a skill but a way of life, a mindset that allows individuals to analyze information, evaluate evidence, and form their own informed opinions. The summary highlights the following key points:

GPT-4 provided feedback on the student’s answer, highlighting areas of strength and weakness, and suggesting improvements. GPT-4’s feedback was then compared to the tutor’s marking guidance. The results showed that GPT-4 was able to identify and highlight key areas of strength and weakness in the student’s answer, and it was able to suggest improvements that were aligned with the tutor’s marking guidance.

Using Large Language Models (LLMs) in education can be a powerful tool for personalized learning and assessment. However, there are ethical concerns associated with using LLMs in this way. One approach to address these concerns is to use the OpenAI API to “hide” the LLM’s answer from the student. This method allows for personalized feedback and assessment, but it also raises ethical concerns. **Detailed Text:**

The integration of Large Language Models (LLMs) into education holds immense potential for revolutionizing the learning experience.