Leveraging Prompt Engineering for Curriculum Design in Short-term Adult Training

This paper explores the integration of large language models (LLMs) into the curriculum design process for short-term adult training programs, highlighting the role of prompt engineering as a transformative tool. As adult education needs to adapt rapidly to changing professional landscapes, the ability to quickly develop and customize educational content is paramount. This study introduces a framework that employs prompt engineering to leverage LLMs, such as ChatGPT, for generating customized curriculum design. Through a systematic process, curriculum designers input tailored prompts into LLMs to produce relevant and accurate educational content. The methodology involves iterating these prompts based on feedback to refine and enhance the curriculum. A survey conducted among educational professionals, who have varied familiarity with AI, supports the effectiveness of this approach. The results indicate that well-crafted prompts not only expedites the curriculum development process but may also enhance the educational outcomes by providing more customized and adaptive learning experiences. This approach is posited as a promising solution to the challenges faced in adult education, particularly in settings demanding rapid course development and delivery.