Course Overview
In today's fast-paced world, Large Language Models (LLMs) are becoming increasingly prevalent. However, educators are struggling to maintain an understanding of the technology; meanwhile, student use is drastically increasing. This tool endeavors to give guidance to educators on the optimal use of LLMs in the classroom.
Course Modules
LLM Selection
The first module will explain how to select the optimal LLM for a given educational task.
Start Module I →Prompt Engineering
The second module will introduce prompt engineering techniques, including chain-of-thought prompting and emotion prompting.
Start Module II →Hallucination Detection and Ethics
The final module will provide techniques for detecting hallucination in LLM responses and address ethical considerations in educational AI use.
Start Module III →Learning Objectives
Pedagogically, this module aims to provide teachers with the ability to confidently use LLMs to enhance their lessons and teaching practices.
Upon completion of this three-part module, educators should be able to:
Determine the optimal LLM to use for a given educational application
Create ideal prompts to achieve educational goals
Evaluate response accuracy of LLMs to avoid hallucination
Course Methodology
This mini-course will follow the flow of proper use of LLMs. First, one must select the appropriate model for their task. Once a model is chosen, one must learn how to properly communicate with the LLM using prompt engineering. Finally, once a response is received, it is essential to learn to differentiate true information from hallucinations.
Ready to Begin?
Start with Module I to learn how to select the right LLM for your educational needs.
Begin Course →