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Students Use Cases For AI

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Students Use Cases For AI

With the emergence of generative AI tools and large language models (LLMs) built on them, educators and learners have the opportunity to greatly enhance their teaching and learning experiences. However, this also poses considerable challenges as AI technology can have numerous benefits – as well as potential downsides – when implemented in the classroom.

One notable aspect of AI-based tools, such as generative AI, is the vast resources and capabilities they provide. With every student and educator now equipped with access to the most powerful AI models in the world, it is no longer necessary to rely heavily on traditional teaching methods and tools.

However, AI can also have negative impacts on teaching and learning. For example, algorithms with sensitive biases and decision-making processes can potentially lead to unfair or inaccurate assessments. Additionally, AI algorithms can be easily manipulated, introducing significant risks and potential threats to educational environments.

While generative AI tools and large language models have immense potential to redefine the way we teach, learn, and interact with the world, educators and learners alike must carefully navigate the complex landscape of AI-driven tech in the classroom. As we continually push the boundaries of what AI can do, it is essential to prioritize students’ safety, privacy, and well-being – and, at the same time, embrace the incredible opportunities AI brings to teaching and learning.

AI can be a valuable tool for effective teaching, but before assigning or recommending students to use it, it’s essential to establish guidelines for proper usage. These guidelines are intended to clarify what students can expect from AI, from “hallucinations” to privacy concerns. These guidelines can be adapted for any use case in your class.

Student guidelines for AI use

What is an LLM?

LLMs are natural language processing (NLP) models trained on a significant amount of content. When you input something into an LLM, it uses the information it has gathered from its extensive training to generate a reply or output that aligns with the context of the prompt. LLMs are not just limited to any one field. They can tackle tasks across many diverse areas in numerous areas of expertise. Despite their amazing capabilities, it’s essential to confirm their accuracy. Users cannot rely solely on LLMs understanding their tasks since they can sometimes produce errors due to their lack of proper knowledge.

  • The most prominent problem with AI systems is that they may be inherently biased and can be affected by unethical or malicious human behavior. As AI systems are based on complex algorithms, they can inherit biases from the data or be influenced by the training process. However, it is essential to acknowledge and address the issue of bias in AI models.
  • Privacy concerns arise when AI systems collect or process personal data. The data may be exploited by AI systems for training or further use, which can violate individual privacy. It is critical to be aware of data privacy and ensure that personal information is handled responsibly. To address these concerns, it is crucial to implement appropriate data protection measures and ethical considerations for AI systems.

How to speak to AI

Provide context is important because it helps AI understand the situation. The more context you provide, the better AI is able to help you. For example, if you’re having a problem with your car, you might tell the AI your location, what the problem is, and when it started happening. This information helps the AI figure out what it needs to do to fix the problem.

When interacting with an LLM, be cautious not to assume that it is actively tracking or listening to the conversation. LLMs have limited memory, so if you think it appears to be losing track, explicitly remind it about what you need and repeatedly ask it questions to stay on track.

As an educator, you can share these guidelines with your students to ensure that they have a better understanding of what to expect and how to communicate their needs effectively when interacting with AI.

GoCharlie Team here. We are excited to hear your experiences and concerns as you implement AI in your classes. We are here to help and support you on your journey to incorporate AI into your teaching. Please feel free to share your experiences and use cases that have been beneficial in the comments below.

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